Next Article in Journal
Development and Psychometric Evaluation of the Chinese Version of the Life Skills Scale for Physical Education
Next Article in Special Issue
The Effects of Receiving and Expressing Health Information on Social Media during the COVID-19 Infodemic: An Online Survey among Malaysians
Previous Article in Journal
COVID-19 and Attendance Demand for Professional Sport in Japan: A Multilevel Analysis of Repeated Cross-Sectional National Data during the Pandemic
Previous Article in Special Issue
COVID-19 Study on Scientific Articles in Health Communication: A Science Mapping Analysis in Web of Science
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Mis–Dis Information in COVID-19 Health Crisis: A Narrative Review

by
Vicente Javier Clemente-Suárez
1,2,
Eduardo Navarro-Jiménez
3,
Juan Antonio Simón-Sanjurjo
1,
Ana Isabel Beltran-Velasco
4,
Carmen Cecilia Laborde-Cárdenas
5,
Juan Camilo Benitez-Agudelo
6,
Álvaro Bustamante-Sánchez
1,* and
José Francisco Tornero-Aguilera
1
1
Faculty of Sports Sciences, Universidad Europea de Madrid, Tajo Street, s/n, 28670 Madrid, Spain
2
Grupo de Investigación en Cultura, Educación y Sociedad, Universidad de la Costa, Barranquilla 080002, Colombia
3
Grupo de Investigacion en Microbiologia y Biotecnologia (IMB), Universidad Libre, Barranquilla 080002, Colombia
4
Psychology Department, Universidad Antonio de Nebrija, 28240 Madrid, Spain
5
Vicerrectoría de Investigación e Innovación, Universidad Simón Bolívar, Barranquilla 080005, Colombia
6
Facultad de Ciencias Sociales y Humanas, Universidad de la Costa, Barranquilla 080002, Colombia
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(9), 5321; https://doi.org/10.3390/ijerph19095321
Submission received: 5 April 2022 / Revised: 22 April 2022 / Accepted: 25 April 2022 / Published: 27 April 2022
(This article belongs to the Special Issue COVID-19 Global Threat: Information or Panic)

Abstract

:
Background: In this narrative review, we address the COVID-19 pandemic mis–dis information crisis in which healthcare systems have been pushed to their limits, with collapses occurring worldwide. The context of uncertainty has resulted in skepticism, confusion, and general malaise among the population. Informing the public has been one of the major challenges during this pandemic. Misinformation is defined as false information shared by people who have no intention of misleading others. Disinformation is defined as false information deliberately created and disseminated with malicious intentions. Objective: To reach a consensus and critical review about mis–dis information in COVID-19 crisis. Methods: A database search was conducted in PsychINFO, MedLine (Pubmed), Cochrane (Wiley), Embase and CinAhl. Databases used the MeSH-compliant keywords of COVID-19, 2019-nCoV, Coronavirus 2019, SARS-CoV-2, misinformation, disinformation, information, vaccines, vaccination, origin, target, spread, communication. Results: Both misinformation and disinformation can affect the population’s confidence in vaccines (development, safety, and efficacy of vaccines, as well as denial of the severity of SARS-CoV infection). Institutions should take into account that a great part of the success of the intervention to combat a pandemic has a relationship with the power to stop the misinformation and disinformation processes. The response should be well-structured and addressed from different key points: central level and community level, with official and centralized communication channels. The approach should be multifactorial and enhanced by the collaboration of social media companies to stop misleading information, and trustworthy people both working or not working in the health care systems to boost the power of the message. Conclusions: The response should be well-structured and addressed from different key points: central level and community level, with official and clearly centralized communication channels. The approach should be multifactorial and enhanced from the collaboration of social media companies to stop misleading information, and trustworthy people both working and not working in the health care systems to boost the power of a message based on scientific evidence.

1. Background

During the 21st century, the possibility of a new pandemic was already a risk the World Health Organization (WHO) was aware of. In 2011, the WHO already presented a worldwide initiative, “Pandemic Influenza preparedness Framework”, designed to stop or delay a pandemic situation in its initial stage and therefore prevent it from spreading worldwide [1]. Despite governments and world organizations’ efforts, nobody was prepared for the outbreak of a contagious disease such as COVID-19. On the 11th of March of 2020, the WHO officially characterized COVID-19 as a pandemic with more than 118,000 cases in 114 countries and 4291 deaths, while thousands were fighting for their lives [2,3]. Currently, as of on 14th of March 2022, cases have ascended to 458 million in over 190 countries and 6.04 million deaths (World Health Organization, 2022).
During the COVID-19 pandemic, healthcare systems have been pushed to their limits, with collapses occurring worldwide. The pressure imposed by COVID-19 cases on healthcare systems nearly collapsed them in the most affected areas during the first wave of the pandemic. It occurred in Europe’s already debilitated health systems, resulting from years of fragmentation and decades of finance cuts, privatization, and deprivation of human and technical resources [4]. In Italy, for example, the National Healthcare Service suffered a cut of more than EUR 37 billion over the period 2010–2019, while also suffering the progressive privatization of healthcare services [5]. Lombardy was the most affected region in Italy, with 1006 patients requiring advanced respiratory support, where Lombardy had only a capacity of 724 intensive care beds [6]. Italian Civil Protection undertook a fast-track public procurement to secure 3800 respiratory ventilators, 30 million protective masks, and 67,000 tests [7]. To avert the shortage of health workers, the Italian Government authorized regions to recruit 20,000 health workers, allocating EUR 660 million for the purpose [8]. Similar situations happened in other countries: in Spain, the central government adopted a series of financial measures to support the health system and protect businesses. It had allocated EUR 2800 million to all regions for health services and created a new fund with EUR 1000 million for priority health interventions [9]. Health facilities in the most affected regions struggled with inadequate intensive care capacity and an insufficient number of ventilators. Both Catalonia and Madrid cancelled non-emergency surgery and cleared beds where possible. Telephone helplines had long delays or simply collapsed. Regions were allowed to take over the management of private health services, while military installations were used for public health purposes [10]. Medicine and equipment shortages encouraged profiteering, with private laboratories charging exorbitant amounts for tests [11]. In response, the central government of Spain centralized purchasing and introduced price controls on medicines requiring companies producing relevant equipment to inform the central government of their stocks within 48 h [12]. To avert the shortage of health workers, insufficient measures were suggested such as cancelling holidays or bringing retired nurses and doctors back into the health service, resulting in the exhaustion of healthcare workers. The shortage of healthcare workers became exacerbated by the quarantining of a growing number of health workers exposed to infected patients. Thus, the Spanish government started to hire graduate medical students without specialization and nursing students, as well as extending contracts of medical residents [13].
Yet, COVID-19 has had a global impact, not only medically, affecting environmental sustainability and economic development [14]. Social restrictions have led to a decline in energy demand and industrial output. Among these measures, social distancing has led to the closure of schools, universities, libraries, centers for older people, and sporting venues, and even restricting all movement in some of the most affected areas [15]. Shutting down borders and all types of travel between countries and the mandatory or voluntary wearing of face masks depending on the country or region [16]. This translated to a reduction in coal and oil consumption, which led to a 25% decline in carbon dioxide emissions, corresponding to a 6% reduction in global emissions [17], with a 70% reduction in nitrogen oxide emission [18]. Furthermore, the shutdown of the tourism industry led to an improvement in biodiversity and enhanced the regenerative capacity of the marine habitat (fishing ground) and forest reserve. Furthermore, the shutdown of power plants and commercial and manufacturing activities led to a reduction in ambient noise levels [19]. However, a temporary reduction in atmospheric emissions and environmental degradation in the period of the global pandemic does not translate into total environmental sustainability [20]. Indeed, there are countries that have significantly increased their pollution levels [21], as in the case of China, with an increase of 240 metric tons of medical waste [22].
Yet, the stoppage that occurred during the period of 2020 and continued uninterruptedly during 2021 has affected global economic development, resulting in several fiscal measures, monetary policies, and private sector economic burden sharing across countries [23]. The slowing down of the Chinese economy with interruptions in production altered the functioning of global supply chains. Thus, companies around the world with ties to China experienced a reduction in production, transport limitations, and border closures, slowing the global economy. This triggered panic among consumers and firms, while global financial markets were also responsive to the changes, and global stock indices plunged [24].
This situation has been challenging companies in various sectors of activity, leading to the digitization of processes and activities [25]. During quarantine, people had to adapt to a teleworking model and learn to share a reduced space with their relatives. Domestic tasks and office work coexisted at home. Having a big impact on people’s lives and existing a greater risk than before of having their income reduced or losing their jobs [25], which according to authors, approximately 60 million Europeans were at risk. [26]. Likewise, the distance between social classes and differences began to increase during the pandemic [27], where the self-employed and small businesses in sectors such as restaurants, transport, tourism and leisure were the most affected [28].
This extended to a significant increase in psychological and psychiatric disturbances that can prevail for months or years [29,30]. Additionally, one of the most notorious is the reduction in levels of physical activity; according to the authors, COVID-19 has aggravated the obesity pandemic by the creation of an unprecedented obesogenic environment during quarantine [31] with an increase in sedentary behavior: irregular sleep patterns and extensively prolonged screen times because of online classes, online lectures, or online work and increased leisure screen time [32,33]. This has led to weight gain and reduced cardiorespiratory fitness levels [34]. All these are factors that feed the infectious and aggravating vicious cycle of the disease and symptoms of COVID-19 [35].
The pandemic has changed life as we know it, on behaviors, quality, and perception of life. All this added to the context of uncertainty has resulted in skepticism, confusion, and general malaise among the population.
In the actual COVID-19 pandemic, we have witnessed a high amount of fake news and false, partisan, and disinformation, with different origins, different objectives, and, as a target audience, the world population. Then, to analyze the mis–dis information during the COVID-19 health crisis and in the vaccination process we conducted the present narrative review. In the present research, we will discuss the origins of COVID-19 mis–dis information, identify catalysts for the resultant infodemic, and suggest methods for mitigating false information online.
The aim of the present narrative review was to analyze the mis information and dis information during the COVID-19 Pandemic crisis and in the COVID-19 vaccination process. For this goal, the origin of mis–dis information, target, spread and main communication channels used will be analyzed and discussed.

2. Materials and Methods

To reach the study aim, a consensus and critical review was conducted, analyzing primary sources such as academic research and secondary sources such as databases, web pages, and bibliographic indexes, following procedures of previous critical narrative reviews [36,37,38,39]. We employed in PsychINFO, MedLine (Pubmed), Cochrane (Wiley), Embase, and CinAhl. Databases the MeSH-compliant keywords of COVID-19, 2019-nCoV, Coronavirus 2019, SARS-CoV-2, misinformation, disinformation, information, vaccines, vaccination, origin, target, spread, and communication. We used manuscripts published from 1 January 2020 to 20 November 2021, although previous studies were included to explain some information in several points of the review. We used the following exclusion criteria in line with previous reviews [38,40,41]: i. research outside the time period analyzed, ii. presented topics out of the review scope, iii. unpublished studies, books, conference proceedings, abstracts, and PhD dissertations. We used all the studies that met the scientific methodological standards and had implications with any of the subsections of the present review. The treatment of the information was performed by all the authors of the review, and finally, the articles selected were discussed to write the present review.

3. Results and Discussion

The aim of the present narrative review was to analyze misinformation and disinformation during the COVID-19 pandemic crisis and in the COVID-19 vaccination process. Our main findings were related to bear in mind the stress and uncertainty of the citizens, the lack of resources to fight against a pandemic, and the need to fight misinformation and disinformation with a well-structured, prepared, and advanced strategies. Transparency is a key factor that institutions should centralize through official communication channels. A multifactorial approach is needed to stop misleading information.

3.1. Mis–Dis Information in COVID-19 Crisis

Misinformation is defined as false information shared by people who have no intention of misleading others. Disinformation is defined as false information deliberately created and disseminated with malicious intentions. Both misinformation and disinformation can affect the population’s confidence in the cost benefits of the vaccines that are currently being applied in the countries. Most of the misinformation and disinformation that has circulated about COVID-19 vaccines has focused on the development, safety, and efficacy of vaccines, as well as denial of the severity of SARS-CoV-2 infection [42]. Both terms have been identified even before SARS-CoV-2 was identified in 2020, on a large number of health topics whose common pattern is the online dissemination of potentially harmful information [43]. The amount of false information that circulates on social networks is so great that an individual strategy by countries is necessary, which allows us to effectively combat misinformation and misinformation related to the health-disease process, both for COVID-19 and for other diseases.

3.1.1. Origin of Mis–Dis Information

In the last few years, there has been a significant increase in campaigns related to misinformation, disinformation, rumors, fake news, and different conspiracy theories. To a large extent, this phenomenon has undergone a process of acceleration due to the Internet capacities, modern information technologies, digitization processes, and the impact of social networks [44,45]. The COVID-19 pandemic triggered a wide consumption of information and, in parallel, a clear process of “infodemic”, according to the World Health Organisation (WHO), took place. An “infodemic” is an overabundance of information—in some cases accurate and in others not—that is disseminated during an epidemic and that spreads among humans in an epidemic-like manner through digital and physical information systems [46].
The first cases of viral pneumonia of unknown cause were reported in a statement by Wuhan (China) officials on 31 December 2019. The WHO declared that COVID-19 had reached pandemic status on 11 March, meaning that the epidemic had spread globally, crossing international borders [46]. At that time, European countries such as Italy and Spain became the epicenter of the crisis before its rapid spread to other countries such as England, the United States, India, and Brazil. Immediately, an exponential increase in the spread of misinformation, hoaxes, and deliberate lies related to the COVID-19 pandemic could be seen spreading through the media and social networks [47,48,49].
Many fake or misleading stories began to be fabricated and shared among thousands of people without any control of their veracity or quality. Much of this information was based on conspiracy theories related to how the virus originated, its cause, its treatment, and its mechanism of spread and contagion. The spread of mis–dis information caused many people’s behavior to change, leading them to take greater risks and jeopardizing the sustainability of the healthcare system. In the following weeks, social media, WhatsApp chats, and private mailboxes were overwhelmed by an avalanche of information, many of which were correct and authentic, but most were unusable. In some situations, this confusion also came from the political and scientific authorities themselves, as was the case with the controversy that arose over the use of anti-inflammatory drugs and their relationship with COVID [50].
Just after COVID-19 was declared a Public Health Emergency of International Concern, the WHO launched a platform called the WHO Information Network for Epidemics (EPI-WIN), which aimed to reduce misinformation by facilitating access to timely and accurate information about the pandemic from trusted sources [3]. Sylvie Briand, director of Infectious Hazards Management at the WHO’s Health Emergencies Programme, stated that, in this type of situation, it was common to be accompanied by “a kind of tsunami of information”, but that false rumors, misinformation, disinformation, hoaxes, etc., were also always encountered. However, Briand pointed out that the difference with phenomena that have been occurring in our societies since the Middle Ages lies in the incomparable impact of the new social networks that cause a greater speed and expansion of misinformation [51].
The European Commission also tried to stop the effects of mis–dis information campaigns that grew with the onset of the pandemic. In April 2020, Věra Jourová, Vice President for Values and Transparency in the European Commission, harshly criticized large U.S. technology companies such as Google and Facebook “for making money off coronavirus-related fake news instead of putting in more efforts to stop the deluge” [52]. Meanwhile, companies specializing in the fight against disinformation, such as Blackbird.AI, warned this month that “COVID-19 is the Olympics of disinformation”. Blackbird’s COVID-19 Disinformation Report analyzed 49,755,722 tweets from 13,203,289 unique users on topics related to COVID-19 for the period of 27 February–12 March 2020. Their results showed that 18,880,396 million tweets had manipulated content [53]. Reporters Without Borders (RWB) reported that between 20 January and 10 February, 2 million of the messages posted on Twitter, 7% of the total, were spreading conspiracy theories about coronavirus [54].
The United Nations Educational Scientific and Cultural Organization (UNESCO) identified some of the common formats in which misinformation is disseminated through text, images, videos, and audio. Specifically, it mentioned the creation of fake websites and fabricated identities through which false news related to COVID-19 is reported. A second format refers to the use of fabricated, altered, or decontextualized videos and images in order to create doubts and mistrust among the population. In addition, emotive narrative constructs and memes become viral through messaging apps—especially WhatsApp—making it very difficult to identify and combat this type of misinformation. Finally, disinformation infiltrators and orchestrated campaigns seek to activate social conflicts and confrontations by promoting geopolitical interests and the most nationalistic sectors of some countries.
Undoubtedly, new technologies have enabled our society to cope better with this type of pandemic, helping specialists to connect with each other in real time or allowing governments to inform citizens directly about public health issues. Nevertheless, it has been proven that mass connectivity has also allowed misinformation to spread virally, endangering the population, undermining democratic principles, and damaging trust in scientists [45,48].

3.1.2. Target of Mis–Dis Information

Mis–Dis information related to COVID-19 has been instrumentalized for a variety of political, racist, and sexist purposes, among many others, which have sought to polarize public opinion and foment hatred at a time when global solidarity and cooperation are needed to confront this epidemic. However, who are those responsible for spreading this mis–dis information and making it viral, and who are these mis–dis information campaigns aimed at? Regarding the first aspect, there are a wide variety of actors who contribute to spreading this misinformation. In an article, the BBC attempts to classify the different actors who start and spread viral COVID-19 misinformation: conspiracy theorists, politicians, and celebrities [55].
According to a Reuters Institute research survey, high-level politicians, celebrities, or other prominent public figures produced or spread only 20% of the misinformation in analyzed in their research, but that misinformation attracted a large majority of all social media engagements. Based on the same survey, 87% of online pandemic disinformation disseminated between January and March 2020 used repurposed content, supplanted genuine sources, or updated long-standing conspiracy theories [56]. US President Donald Trump suggested that disinfectants could kill the virus [57], and Madagascar president Andry Rajoelina showed his support for an unproven herbal tea to cure COVID-19 [48]. These are some examples of statements that have helped spread mis–dis information, jeopardizing the safety of our societies and reducing trust in international agencies such as the WHO.
Some research that has analyzed the misinformation generated by the media between 1 January and 26 May 2020 has highlighted that conspiracy theories spread by antivaccine groups, 5G opponents, or political extremists contributed much less to the overall volume of misinformation than other more powerful actors such as the U.S. president [58].
This type of news coverage, mis–dis information, and fake news have led to an increase in racism and exclusion of certain social groups. In many countries, racist behavior and discriminatory treatment in daily life and in the media against the Chinese population were noted due to the origin of the first COVID cases [59]. At the same time, extremist groups have also used online platforms to hold vulnerable communities such as migrants, refugees, Jews, or Muslims responsible for the spread of COVID-19 and target them for violent behavior. Groups with limited access to healthcare and working in precarious jobs such as people of color and migrants have been more directly affected by coronavirus. In some cases, these groups find it more difficult to achieve self-isolation, increasing the likelihood of spreading the virus; in other situations, mainly undocumented immigrants avoid hospitals for fear of being identified and reported, which ends up causing them to suffer a stronger impact of this disease [60]. Political leaders such as Matteo Salvini, former Deputy Prime Minister of Italy, attacked the president of the Italian government for not closing the borders to African immigrants by linking them to the spread of COVID-19 in this country [60].
According to Europol’s reports, “some state and state-backed actors seek to exploit the public health crisis to advance geopolitical interests, often by directly challenging the credibility of the European Union (EU) and its partners” [61]. Lea Gabrielle, Special Envoy and Coordinator of the Global Engagement Centre at the US State Department, stated in March 2020 that countries such as Russia, China, or Iran were implementing misinformation and fake news campaigns in order to disrupt the world order and promote their political and economic interests [62]. Nevertheless, some authors have indicated that the content of these specific state-sponsored sources represents only 0.77% of the data set they analyzed, with credible sources being much more numerous [63]. For the European Union these types of misinformation campaigns driven by some countries seek to undermine human rights and many of the fundamental principles of democratic systems.
Another objective of the COVID-19 infodemic has been to damage public confidence in science and endanger public health. From the first moment the pandemic began, multiple theories about the origin of the virus took hold on the Internet, all of which had the common theme that the virus had been created in a laboratory by a rogue government with an agenda. This misinformation was created on social media accounts and websites without credible evidence to support their claims and accumulated millions of visits. Scientists from several countries have analyzed the COVID-19 genome and came to the decisive conclusion that the virus originated in nature from an animal source [64]. Subsequently, other conspiracy theories about the origin of the disease mentioned that it was 5G networks and not coronavirus that made people sick [58], that Bill Gates had created this virus, or that it was chemical weapons manufacturers [65]. These mis–dis information campaigns have underscored the importance of producing and disseminating credible versus unreliable information to the public and the important role played in this process by the medical community [66,67].
Finally, mis–dis information campaigns have affected the credibility of journalists by casting doubt on the information they disseminated through the traditional media. When journalists attacked these misinformation campaigns, they were attacked with more misinformation [68]. Similarly, in relation to the economic impact of COVID-19 and the social isolation measures that were implemented at the height of the pandemic, mis–dis information was disseminated in many countries that sought to discredit these types of measures by suggesting that social isolation is not economically justified. Cybercriminals also found in hoaxes, fake news, and mis–dis information new opportunities to generate frauds that sought to steal people’s private data or to enrich themselves through the sale of sanitary products and masks [69].

3.1.3. Spread of Mis–Dis Information

Informing the public has been one of the major challenges during the COVID-19 pandemic. Since the beginning, institutions and authorities have been providing information, including through social media, while fighting against fake news [5]. However, the broad power and spectrum of social networks and information residing on the internet added uncertainty and fear to the exceptional situation, surprising governments and societies, resulting in: “The First True Social-Media Infodemic” [70].
Misinformation or disinformation has been around for centuries, ever since the free press existed. It has shown a greater capacity to spread faster and farther than accurate information, having a truly negative impact in the world, such as amplifying controversies about vaccines [71]. However, there is a conceptual discrepancy between these two terms. Misinformation would be defined as false information spread without malicious intent, while disinformation is used by governments, militaries, organizations, and individuals to intentionally mislead or manipulate the public. Differences between these two terms underlies the intention behind the spreading of false/fake information.
Nowadays, access to information is so easy and fast that the world is exposed to a “misinformation pandemic”. Undoubtedly, the consolidation of technologies and the internet has given the world an abundance of news and information, where keeping informed truthfully is not easy, especially due to the politicization of the media [72,73,74]. In this line, the COVID-19 pandemic has exposed health inequities and disparities, bringing into light the phenomenon of health misinformation. Etiologically, it would be defined as fake facts or falsely claimed health-related information that contradicts the scientific community and medical consensus. A large group of the population uses information on the Internet to obtain information in clinical and medical terms about health. Two-thirds of U.S. adults have sought information about their health online in the past year [75], and recent studies suggest that it has grown with COVID-19 to up to 75% of the U.S. population [76], translating this into approximately more than a billion searches in search engines such as Google per day.
This is a double-edged sword, since digital channels are valuable mechanisms to provide accurate health information and guidance to the public; however, they have become gateways for the rapid spread of health misinformation and disinformation [77]. Indeed, 80% of people who search for health information online do not know how to distinguish between misinformation and fact [78]. Epidemiologists have compared the spread of online information to the transmission of infection, making an educated public key to reducing the spread of disease [79]. Thus, health misinformation urgently requires greater action from those working in public health research and practice [80].
During this stage, the COVID-19 pandemic period, where the number of searches and misinformation especially increases, authors have called this “The First True Social-Media Infodemic” [70]. It was not until mid-February when the WHO decided to declare among the “COVID-19 health pandemic” the situation of an “infodemic” [81]. We must understand that the social context in which there is a dwindling trust in politicians, science in general, rampant conspiracy theories, with the added effect of the isolation of many people during the pandemic, has led to this perfect breeding ground for profiling antimaskers and COVID-19 denialists [82]. Among the different conspiracy theories and fake news, those that had the greatest impact were: the virus is a secret attempt by the global elite to reduce overpopulation; the virus is a bioweapon of the Chinese state to control the world; the virus is a scheme by greedy “Big Pharma” companies to make money off vaccines; eating garlic, drinking hot water, not eating ice cream, or wearing salt-coated face masks will keep the virus at bay; drinking bleach, chlorine dioxide, colloidal silver, or your own urine can help kill the virus [70].
In this line, social media such as WhatsApp, Twitter, YouTube, and Facebook have started to fact check, label, and limit the spread of misleading information, including the removal of fake news [56,83]. However, these actions can be considered a “quick-patch”, and many times, predictive algorithms aimed at limiting the information by large platforms can be perceived as an attack on individual liberties and freedom of expression. Therefore, this patch can cause even more damage among the general public, leading to greater uncertainty and belief in informational bias. Since digital communication channels are here to stay, continued efforts to combat misinformation and disinformation are critical. Yet, their key resides in building trust in communities, publishing and sharing verified information, improving media and health literacy, and ultimately, educating the citizens [77].
The consequences of this infodemic are directly related to the process of assimilation of the disease by populations, encouraging them to make wrong decisions, such as the cases of bleach intake (cleaning and disinfection product) in the United States, where rumors commented that it could help kill the COVID-19 virus [84]. In South Korea, attendees of a church became infected with COVID-19 after receiving a saltwater spray in their mouths by their leaders, believing that this solution helped to reduce the spread of the disease; the instrument used for the aspersion was the vehicle that allowed the contagion between people [85]. In Iran, around 300 people died from ingesting methanol as a treatment for the COVID-19 disease [86].
It is also important to consider that, given the appearance of new large-scale events such as a pandemic, the uncertainty generated by identifying what is true or false, because the scientific evidence is limited and changing, will influence the behavior and beliefs of the community in general [87]. However, Hameleers et al. identified that people with a perception of misinformation could be motivated to seek information and stimulate benevolent behavior [88].

3.1.4. Main Communication Channels Used

Facing emergency events such as a pandemic, several questions arise that need to be answered immediately and with truthful information. Currently, the media such as the press and local radio have been relegated to the background by their audience, giving greater importance to social networks such as Facebook, Instagram, Twitter, WhatsApp, and YouTube, which play an important role when spreading a message, whether it is real or not [89].
In the COVID-19 pandemic, it has been observed how these mass media have an impact on how the world and daily life are perceived, providing reasons for misinformation related to the disease. These social networks have been the source of conspiracy theories about the creation of the virus as a means of creating a biological war against China to suppress its economic growth [89], as well as the beginning of xenophobic attacks against the Chinese population, such as the trend on Twitter under the hashtag #ChineseDon’tComeToJapan when spreading erroneous information that some passengers residing in Wuhan who presented symptoms of fever violated the quarantine at the Airport Kansai International [59,72].
Likewise, these giants of social networks have made an effort to reduce the false information that is disseminated through their platforms; in the case of Facebook, it has created the Information Center on Coronavirus, in which they publish updated and secure information on the progress of the pandemic [90]. Additionally, Google created an alert in which searches for information received by the public come from the official pages and networks of the World Health Organization and other authorized sources [72].
In this sense, the media is positioned as a fundamental part of the management of any health crisis, since despite the restrictions generated through filters and search generators of social networks, it is not enough to mitigate the dissemination of fake news [90]. eHealth literacy, which is a set of skills based on media literacy that provides people with the ability to navigate online resources and assess effectively the sources of information to make a well-informed opinion, is a key factor to combat misinformation and disinformation threats [91].

3.1.5. Consequences

Since the global decision of confinement to prevent the rapid spread of the virus, social interactions have been drastically reduced [92]. For this reason, social networks and information transmitted through new technology channels became essential to connect people and keep them informed. At a time when there was a great lack of knowledge about the virus, the news was the only way to try to understand what was happening and make sense of the extreme measures that were being implemented worldwide [93]. Thus, data were provided on aspects such as the number of infected people, the number of deaths, the impossibility of providing health care to the sick, and confusion and uncertainty about the near future, among other fears in the general population.
During the pandemic, this information reached the general population on a massive scale, transmitted by communication professionals, health professionals, politicians, scientific disseminators, virologists, and journalists, who gave different visions of the virus [94]. This panorama of public uncertainty and the facility to transmit information to people confined to their homes made it easier for many media reports to spread unverified news, news that had not been adequately verified by professionals dedicated to public health, and other news without an accurate and properly tested scientific basis.
When research on COVID-19 began, governments, pharmaceutical companies and the health industry invested a lot of resources in trying to understand how the virus works and to reduce the spread and number of people affected [95,96]. On this dizzying and innovative path in the current times, the lack of rigorous information and the partial information that reached the population facilitated the emergence of groups of people who began to doubt the veracity of the data and the existence of the pandemic.
The consequences of a constant inundation of scientifically unreliable information have led to the emergence of another pandemic, a global infection of data that has made the public not trust what is transmitted by the main channels of communication [97,98]. This has facilitated increased fears about COVID-19, such as it being is possible sequelae, or the concerns over the reality about the number of people affected in the world. Ultimately, it permitted many people to create movements against the existence of the disease, supported even by health professionals and other fields of expertise [99,100].
This has meant that the measures adopted were not sufficiently relevant to the population, were not respected because they were not believed in, or were even expressly and manifestly disobeyed by the rest of the people, the media, and health, political, and police authorities [101]. This type of actions, which were backed up by unreliable and unverifiable news, obstructed all the measures implemented at the beginning of the spread of the virus and, to this day, its negative effect continues to be present in other relevant areas, such as vaccination [56].
In the last year, medical experts, health authorities and governments around the world have had to deal with two situations that have had a direct impact on the progress of the disease [79]. On the one hand, the presence of an unknown virus, which has spread rapidly and globally, making it necessary to take decisions to avoid endangering people’s lives. Additionally, on the other hand, challenging all the information that was made available to the population and that could endanger the integrity of the people and of the measures taken to protect the public [102].

3.2. Mis–Dis Information in COVID-19 Vaccination Process

Within the COVID-19 pandemic, we find another important moment and where misinformation has been an everyday element. We are talking about the vaccination process. With a series of vaccines developed in record time and with few studies of their validity, reliability, and safety, the amount of information about them has overwhelmed the ordinary citizen of the world. In this section, we are describing the origins of mis–dis information in the COVID-19 vaccination process and the aspects to implement an efficient strategy to combat mis–dis information for COVID-19 vaccination process.

3.2.1. Origin of Mis–Dis Information

Since the 19th century, vaccines have had a major impact on health around the world, resulting in the eradication of diseases such as smallpox, and preventing millions of deaths a year [103]. Smallpox, the disease that accompanied humanity for at least 3000 years, was officially declared eradicated by the WHO in 1980; that is, more than half of the world’s population has not been vaccinated against smallpox, but there is no risk of an outbreak.
However, there is a long tradition of vaccine vacillation, which refers to a delay in the acceptance or rejection of vaccines, despite the availability of vaccination services [104], even before the appearance of the Internet and its services, which offer the possibility to quickly disseminate information of all kinds. However, fear of the risks of vaccination is not irrational because there are examples of vaccination-related deaths. In 1955, a contaminated batch of polio vaccines resulted in the paralysis or death of 56 children [105]. In 2014, an unusual number of events allegedly attributed to the human papillomavirus vaccine (HPV) occurred in a town in northern Colombia, which plummeted coverage and stalled national vaccination [106]. These examples and other regional events may have exacerbated vaccine concerns, especially those related to flu vaccines, as well as COVID-19 vaccines.
Many of the arguments against vaccines are based on the assumption that vaccines are ineffective and carry safety risks [105]. Sources for these arguments can have a high scientific reputation, such as a high-impact journal. One of the best-known cases is the findings by Wakefield et al. in 1998 [107]. In an article published in the Lancet, they concluded that the measles, mumps, and rubella vaccine can predispose to pervasive developmental disorders in children. Despite the small sample size (n = 12), the spurious design, and the speculative nature of the conclusions, this article received wide publicity (today, its retraction has more than 3000 citations registered with NCBI). Vaccination rates against measles, mumps, and rubella began to decline because parents were concerned about the risk of autism after vaccination. In 2010, the article was withdrawn from the Lancet as a fraudulent study that relies on the falsification of data [108]. However, Wakefield’s findings are still used as evidence among people warning of the (alleged and unfounded) risks of COVID-19 vaccines [109,110,111].
There is increasing literature examining how vaccine doubt is discussed on social media [112]. The question about the efficacy and safety of vaccines has gained wider support due to the lack of scientific consensus on the information and how to apply the vaccines. This has led to a greater reliance on health information generated by people with little or no scientific training, thus exposing people to misinformation or misinformation about vaccines [113]. It is often spread in emotional narratives such as blogs, Facebook accounts, Twitter, WhatsApp groups, and Reddit forums, among others, about people who have supposedly been affected by vaccines. Unlike traditional media such as the press and newscasts, published content does not need to undergo editorial selection or scientific research and can represent a more complex mix of pseudo-evidence and personal opinion [114]. Additionally, users frequently remain anonymous, allowing people to express their views without adulteration. The media are also characterized by their potential to reach large audiences and spread information very quickly [115] (Table 1). For example, in the United States, in the first 2 days of the first people receiving the Pfizer COVID-19 vaccine, antivaccine activists amplified stories of allergic reactions or even deaths caused by the vaccine, and even the outbreak of COVID-19 become its golden age [116]. Unfortunately, newspapers can be a sounding board for a few cases that discourage the population from getting vaccinated, and even expect to be vaccinated with less problematic brands. In such narratives, the risks of the vaccine may seem more immediate and tangible compared to the potential benefits of disease prevention through a vaccine [112].

3.2.2. Target of Mis–Dis Information

Regarding the target of misinformation in the COVID-19 vaccine process, we can focus on two different levels of intervention, one at the central level and another more focused on the strategies followed at the community level.

Central Level Strategies to Address Misinformation about the COVID-19 Vaccine

  • Establish a multi-agency national security response effort that prioritizes the management of public health disinformation, both national and international sources, as a national security issue to prevent disinformation campaigns and educate the public on its use.
  • Encourage active, transparent, and non-partisan intervention from the media and news media companies to identify and eliminate, control the spread of, and reduce the generators of false information.
  • Prioritize public health risk communication at the federal, state, and local levels in public health departments and academic research by increasing research staffing, funding, and support.
  • Increase coordination between public health experts, public information systems, and the media to increase the dissemination of accurate information through multiple channels.
  • Promote health and digital literacy through multiple sources including schools, community organizations, social media, media, and others to help consumers choose responsible information sources and increase their awareness of misinformation tactics and approaches.
  • Ensure multisectoral collaboration to combat public health misinformation through collective planning with social media, the media, government, security officials, public health officials, scientists, the public, and others.

Community Strategies to Address Misinformation about the COVID-19 Vaccine

The first step in effectively dealing with misinformation about COVID-19 vaccines is to learn more about it, including where it starts and when, why, and how it is spreading and evolving. The European Centre for Disease Prevention and Control (ECDC) issues the following recommendations to local stakeholders and health authorities to communicate accurate information about COVID-19 vaccines, respond to information gaps, and confront misinformation with evidence-based messages from trusted sources [42]:
  • Listen to and analyze the misinformation circulating: monitor social media channels and traditional media for misinformation and create a record of misinformation to identify trends in your area. This can help to understand where, when, why, and how misinformation is spreading in the community.
  • Interact with community members to identify and analyze perceptions, content gaps, information gaps, and misinformation.
  • Share accurate, clear, and easy-to-find information that addresses common questions about the vaccination process and the effectiveness of vaccines. This can be achieved through official information channels (WHO). Use methods to inform people with limited or no access to the Internet, such as radio or community events. Share details, including addresses and times, about vaccination locations and events, including ages and locations with community organizations and local media. Guarantee the quantities of vaccines necessary to prevent people from making more than one trip to be vaccinated.
  • Use trustworthy people to increase credibility and the likelihood of being seen and believed over misinformation. Some people may not trust public health professionals or visit the health department website, so it is more effective to communicate with them through the channels and sources they seek and trust to obtain health information, such as religious leaders, artists, radio hosts, athletes, influencers, or community organizations.
The United Nations International Children’s Emergency Fund (UNICEF) developed a management guide to combat misinformation to facilitate the development of strategic national action plans to quickly counter misinformation about vaccines and generate demand for vaccination through social listening. This guide is intended for healthcare professionals including national immunization plan coordinators, communication specialists, and social and behavioral change specialists. [126]. The guide is organized in three phases plus a preliminary preparation phase: listening, understanding, and participating [127] (Table 2).

3.2.3. Spread of Mis–Dis Information

As we highlighted in previous sections, the WHO 2020 declared that the COVID-19 outbreak has been accompanied by a massive infodemic [128,129], referring to the overabundance of information, some accurate and some not, that occurs during an epidemic [91]. The increase in the spread of misinformation in the vaccination process of COVID-19 can largely be related to the increase in the use of social networks [128] and the amplification of the social consensus that occurs through it [130].
This has become one of the main challenges for public health, because mis–dis information can favor bad health habits and a greater spread of disease [128,130]. Exposure to false information is more common than is believed: in a survey conducted by Ofcom in the UK, 46% of the British population reported being exposed to fake news about COVID-19, and 66% of those exposed reported seeing it several times [130]. Countries such as Mexico and Spain show a greater belief in erroneous information, compared to countries such as Ireland, the United Kingdom, and the United States [130].
Factors such as distrust of science, journalists, media, government, and a conservative political ideology have been associated with beliefs in mis–dis information [131]. In addition to this, education, analytical thinking, numerical skills, and thinking styles play an important role in processing misinformation. For example, numerical skills are related to greater accuracy in judgment and decision-making [130,132]. Likewise, periods of political and economic turmoil, as well as electoral periods, have been associated with an increase in the dissemination of erroneous information [128,133,134]. The spread of misinformation has focused on older people, women, young people without college degrees, minority ethnic groups, low-income groups, and health risk groups [128,130,135]; however, the impact of misinformation on these groups is still unknown regarding COVID-19 [136].
Fake news online spreads faster than real news [91]; this topic seems to be associated with the various theories circulating in different media, such as the damage of the vaccine to the body, the 5G conspiracy theory, and the association of the vaccine with infertility, among other conspiracy theories [128,132,137]. All this affected the different antivaccine movements around the world [138] and the trust in health systems and medical staff, assisting mis–dis information, the spread of the virus, and the slowness of the vaccination process [128,133].
Strengthening health communication strategies including positive and safe emotions could help favor vaccination processes [139]. It is important to be guided by evidence-based strategies for proper health communication. Strategies include: (a) establishing expert group organizations to monitor and solving fake news about COVID-19, (b) equipping celebrities and politicians with scientific information about vaccines, (c) supporting vaccination through public letters and statements, and (d) having no tolerance for false and manipulated information about COVID-19 [140,141].

3.2.4. Main Communication Channels Used

Among the main channels used to obtain information about COVID-19 vaccination process, the main were the television, radio, local newspapers, family, health authorities, the internet, national newspapers, social networks, alternative sources, medical professionals, and scientists [142,143,144]. In countries such as Germany, television, radio, and newspapers were the media outlets that used the most to obtain information on health issues, in contrast to experts who are rarely listed as sources of information [145].
In the United States, 86% of the people surveyed used traditional media (television and newspapers) to obtain information about COVID-19 vaccination. Likewise, the people who are most suspicious of the vaccination process seem to only use social networks as their only source of information [146].
Likewise, health authorities seem the most appropriate to disseminate issues about vaccination in COVID-19 because it is a widely used and reliable source. On the other hand, information on social media appears to be unreliable and useful in increasing vaccination intent. However, the approach chosen to disseminate this information must take into account each age group, because adults use more media such as newspapers; on the contrary, young people make more use of social networks and the internet [145].
In this line, all people are exposed to misinformation; however, this varies depending on their preferences and demographic data on social networks [136]. The structures of social networks, as well as their algorithms, can lead to selective exposure of disinformation in certain groups [136]. It seems that the internet has become the main source of infodemic in the world [91]. It has been found that, on the YouTube platform, 25% of the videos associated with the topic contained misleading information about coronavirus [128,130]. Likewise, media such as Twitter favor the rapid mass spread of mis–dis information [139,147,148]. However, these same platforms have also been used to provide accurate vaccination information around the world. In Italy, the Ministry of Health has made use of networks such as Facebook to mitigate the spread of mis–dis information and offer information online [149].
The importance of selecting the correct sources to inform us will have an influence on the quality of the information obtained and the susceptibility to mis–dis information [130]. Understanding the management of different communication channels and social networks themselves can help improve health communication campaigns [136]. Regarding the spread of pro-vaccine and antivaccine messages through social networks, it was found that antivaccine communications were mainly based on anecdotal stories, humor, and sarcasm. This framework of communication was often more persuasive than the use of information and participation by the pro-vaccine communications. Interestingly, both approaches used celebrity figures to spread their messages [150].

3.2.5. Consequences

Once health authorities were able to halt the spread of the virus, governments were faced with the need to fight to contain the spread of news that tried to make the population believe that it was all a lie [151]. The combat against fake news became as important as the combat against the virus itself. This was the first pandemic to emerge in the age of communication and technology, which made it much more difficult to contain the spread of fake news [81].
Governments invested all the resources at their disposal to combat these two directions [152]. However, the creation of a vaccine to help reduce the growing number of people dying in the world due to COVID-19 was the main concern [153]. In this line, all kinds of resources and tools, both personal and financial, were made available to the pharmaceutical laboratories with the aim of obtaining a vaccine that would allow the whole world to return to normality, to resume contacts and, above all, to resume the economy and trade [154].
In this race towards a vaccine, several countries were working very fast, as the consequence of not doing so was an uncontrolled increase in the number of deaths [155]. However, there was a feeling in the general population that it was not possible to start a study on the disease and produce an effective vaccine in such a short time [156]. This perception was supported by fake news from groups of people who continue to argue that there is no vaccine for COVID-19 [157].
Once again, the lack of information among the general population, the lack of knowledge of the processes involved in creating a vaccine, and previous experience indicating that the average time to create a vaccine is at least ten years seriously damaged people’s perceptions of the arrival of a solution. In addition, once vaccination could be implemented in the weakest population, the elderly, the appearance of some side effects allowed these people who doubted the efficacy of the vaccine to reinforce these thoughts [128,136].
Another factor to consider, which has damaged the positive view of an effective remedy for the disease, is the appearance of some “effective treatments” for the cure of this virus through the networks and even by some of the world’s leading political figures [158]. Some of these treatments were directly related to conspiracy theories, such as the use of chlorine dioxide, and were based on the influence of the pharmaceutical industry, aiming to not support its use so that there would be a decrease in the sale of their medications [159,160].
All of these factors, combined with the fact that a debate was opened on social media from the beginning of the vaccine development process, have led to the spread of false information and misinformation [145]. These data that were being presented served to seriously alarm people who had an unrealistic perception of the disease and, in general, people who were confused by the events of the last year [130]. Once the vaccination process started, this whole situation made many people reluctant to be vaccinated because of various falsely propagated fears [161]. This has made it difficult to start the vaccination process in all countries, until, as the months have passed and the number of infections and deaths has fallen drastically, the population has become more aware of the benefits of vaccination [162].
An increasing number of people around the world have now been vaccinated to protect themselves and their families and loved ones from the disease [163]. However, there are still several people who do not want to be vaccinated and who remain a risk to themselves and others [164]. These people remain a risk to society, given the still significant presence of a virus that circulates globally and is sometimes lethal [165,166].

4. Study Limitations and Future Research

The main limitation of this review was the small quantity of empirical studies on this topic. It will be interesting to study this issue with more empirical evidence to build knowledge based on empirical evidence and to develop a meta-analysis. Future research should consider the evolution of misinformation and disinformation as the vaccination process evolves.

5. Practical Statements

To combat misinformation and disinformation during a pandemic, institutions should bear in mind the situation of citizens (high stress and uncertainty) and the lack of resources to fight against it. The approach to fight misinformation and disinformation should be well-structured, prepared, and advanced, with previous preparation, social listening, understanding, and engagement. Transparency must be fostered from the institutions and centralized in clearly specified official communication channels. At the same time, institutions need to consider the necessity of the population to keep being informed through social media and public personalities. A multifactorial approach with the collaboration of social media companies and trustworthy public personalities should be enhanced to empower the correctness of valid information while stopping misleading information.

6. Conclusions

A pandemic usually comes along with a change in quality and perception of life because of the context of high uncertainty. It may influence people’s behaviors in different ways, such as skepticism, confusion, general malaise, or stress, which may foster their need to be informed. Technology can help misinformation to go viral and damage trust in scientists. Cybercriminals may find a new approach to steal people’s private data or to sale fake sanitary products and masks. The appearance of a pandemic generates uncertainty about what is true or false due to the lack of scientific evidence and the rapid growth of social media data. The vaccination process also plays an important role in a pandemic and must address similar challenges of untrust, uncertainty, and fear. The institutions should take seriously into account that a great part of the success of the intervention to combat a pandemic has a relationship with the power to stop misinformation and disinformation processes. The response should be well-structured and be addressed from different key points: at central level and community level, with official and clearly centralized communication channels. The approach should be multifactorial and enhanced from the collaboration of social media companies to stop misleading information, and trustworthy people both working and not working in the health care systems to boost the power of a message based on scientific evidence.

Author Contributions

Conceptualization, V.J.C.-S. and J.F.T.-A.; methodology, V.J.C.-S.; investigation, all authors; writing—original draft preparation, all authors; writing—review and editing, Á.B.-S.; visualization, all authors; supervision, Á.B.-S. and V.J.C.-S.; project administration, V.J.C.-S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. World Health Organization. Pandemic Influenza Preparedness Framework for the Sharing of Influenza Viruses and Access to Vaccines and Other Benefits; World Health Organization: Geneva, Switzerland, 2011. [Google Scholar]
  2. World Health Organization. WHO Director-General’s Opening Remarks at the Media Briefing on COVID-19—11 March 2020. 2020. Available online: https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020 (accessed on 26 October 2021).
  3. World Health Organization. WHO Coronavirus (COVID-19) Dashboard. 2021. Available online: https://covid19.who.int/ (accessed on 26 October 2021).
  4. Armocida, B.; Formenti, B.; Ussai, S.; Palestra, F.; Missoni, E. The Italian health system and the COVID-19 challenge. Lancet Public Health 2020, 5, e253. [Google Scholar] [CrossRef]
  5. Legido-Quigley, H.; Mateos-García, J.T.; Campos, V.R.; Gea-Sánchez, M.; Muntaner, C.; McKee, M. The resilience of the Spanish health system against the COVID-19 pandemic. Lancet Public Health 2020, 5, e251–e252. [Google Scholar] [CrossRef] [Green Version]
  6. N.a., Lombardy Region. Sostieni L’emergenza Coronavirus. 2020. Available online: https://www.regione.lombardia.it/wps/portal/istituzionale (accessed on 20 March 2020).
  7. Consip. Emergenza COVID-19: Precisazioni Sulla Qualità e le Modalità di Distribuzione dei Dispositivi di Protezione Individuale. 2020. Available online: https://www.consip.it/media/news-e-comunicati/emergenza-covid-19-precisazioni-sulla-qualit-e-le-modalit-didistribuzione-dei-dispositivi-di-protezioneindividuale (accessed on 15 March 2020).
  8. Gazzetta Ufficiale Della Repubblica Italiana. Ulteriori Disposizioni Attuative del Decretolegge, Recante Misure Urgenti in Materia di Contenimento e Gestione Dell’Emergenza Epidemiologica da COVID-19, Applicabili Sull’Intero Territorio Nazionale. 2020. Available online: https://www.gazzettaufficiale.it/eli/gu/2020/03/09/62/sg/pdf (accessed on 23 February 2020).
  9. Spanish Government. Real Decreto-Ley 7/2020, de 12 de Marzo, por el que se Adoptan Medidas Urgentes para Responder al Impacto Económico del COVID-19. 2020. Available online: https://www.boe.es/buscar/pdf/2020/BOE-A2020-3580-consolidado.pdf (accessed on 14 March 2020).
  10. Community of Madrid. La Comunidad de Madrid Aprueba Medidas Extraordinarias por el Coronavirus; Community of Madrid: Madrid, Spain, 2020. [Google Scholar]
  11. Rubio, T. Un Hospital Privado Ofrece Pruebas de Coronavirus a 300 Euros. 2020. Available online: https://cadenaser.com/ser/2020/03/11/sociedad/1583916237_982230.html (accessed on 14 March 2020).
  12. Spanish Government. Real Decreto-Ley 6/2020, de 10 de Marzo, por el que se Adoptan Determinadas Medidas Urgentes en el Ámbito Económico y para la Protección de la Salud Pública. 2020. Available online: https://boe.es/boe/dias/2020/03/11/pdfs/BOE-A-2020-3434.pdf#BOEn (accessed on 14 March 2020).
  13. El País. Casi 200 Sanitarios Están en Cuarentena por el Virus. 2020. Available online: https://elpais.com/sociedad/2020-03-03/el-gobierno-vasco-convoca-deurgencia-una-oferta-para-medicos-ante-la-crisis-del-coronavirus.html (accessed on 14 March 2020).
  14. Gautam, S.; Trivedi, U. Global implications of bio-aerosol in pandemic. Environ. Dev. Sustain. 2020, 22, 3861–3865. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Catalan Government. El Govern Decreta el Confinament dels Municipis D’igualada, Vilanova del Camí, Santa Margarida de Montbui i Òdena. 2020. Available online: https://govern.cat/salapremsa/notes-premsa/383374/el-governdecreta-el-confinament-dels-municipis-digualada-vilanova-del-cami-santamargarida-de-montbui-odena (accessed on 14 March 2020).
  16. European Centre for Disease Prevention and Control ECDC. Data on Country Response Measures to COVID-19. 2021. Available online: https://www.ecdc.europa.eu/en/publications-data/download-data-response-measures-covid-19 (accessed on 26 October 2021).
  17. Carbon Brief. Analysis: Coronavirus Temporarily Reduced China’s CO2 Emissions by a Quarter. 2020. Available online: https://www.carbonbrief.org/analysis-coronavirus-has-temporarily-reduced-chinas-co2-emissions-by-a-quarter (accessed on 27 April 2020).
  18. UCAR. COVID-19 Impact on Asian Emissions: Insight from Space Observations. 2020. Available online: https://www2.acom.ucar.edu/news/covid-19-impact-asian-emissions-insight-space-observations (accessed on 27 April 2020).
  19. Zambrano-Monserrate, M.A.; Ruano, M.A.; Sanchez-Alcalde, L. Indirect effects of COVID-19 on the environment. Sci. Total Environ. 2020, 728, 138813. [Google Scholar] [CrossRef]
  20. Sarkodie, S.A.; Owusu, P.A. Global assessment of environment, health and economic impact of the novel coronavirus (COVID-19). Environ. Dev. Sustain. 2021, 23, 5005–5015. [Google Scholar] [CrossRef]
  21. Tortajada, C.; Biswas, A.K. COVID-19 heightens water problems around the world. Water Int. 2020, 45, 441–442. [Google Scholar] [CrossRef]
  22. Calma, J. The COVID-19 Pandemic Is Generating Tons of Medical Waste. 2020. Available online: https://buff.ly/2Ui4K7s (accessed on 27 April 2020).
  23. Elgin, C.; Basbug, G.; Yalaman, A. Economic Policy Responses to a Pandemic: Developing the COVID-19 Economic Stimulus Index; Columbia University: Columbia, NY, USA, 2020. [Google Scholar]
  24. McKibbin, W.; Fernando, R. The Global Macroeconomic Impacts of COVID-19: Seven Scenarios. Asian Econ. Pap. 2021, 20, 1–30. [Google Scholar] [CrossRef]
  25. Almeida, F.; Duarte Santos, J.; Augusto Monteiro, J. The Challenges and Opportunities in the Digitalization of Companies in a Post-COVID-19 World. IEEE Eng. Manag. Rev. 2020, 48, 97–103. [Google Scholar] [CrossRef]
  26. Riley, C. 60 Million Europeans could Suffer Furloughs, Layoffs or Wage Cuts. 2020. Available online: https://edition.cnn.com/2020/04/19/business/europe-jobs-coronavirus-mckinsey/index.htm (accessed on 8 May 2020).
  27. Milanesi, C. Digital Transformation and Digital Divide Post COVID-19. 2020. Available online: https://www.forbes.com/sites/carolinamilanesi/2020/05/11/digital-transformation-and-digital-divide-post-covid-19/#6b142e8a1656 (accessed on 8 May 2020).
  28. NSI. Statistics Portugal. 2020. Available online: https://ec.europa.eu/eurostat/cros/content/team-nsi-portugal_en (accessed on 8 May 2020).
  29. Jeong, H.; Yim, H.W.; Song, Y.-J.; Ki, M.; Min, J.-A.; Cho, J.; Chae, J.-H. Mental health status of people isolated due to Middle East Respiratory Syndrome. Epidemiol. Health 2016, 38, e2016048. [Google Scholar] [CrossRef]
  30. Liu, X.; Kakade, M.; Fuller, C.J.; Fan, B.; Fang, Y.; Kong, J.; Guan, Z.; Wu, P. Depression after exposure to stressful events: Lessons learned from the severe acute respiratory syndrome epidemic. Compr. Psychiatry 2012, 53, 15–23. [Google Scholar] [CrossRef]
  31. Storz, M.A. The COVID-19 pandemic: An unprecedented tragedy in the battle against childhood obesity. Clin. Exp. Pediatr. 2020, 63, 477–482. [Google Scholar] [CrossRef] [PubMed]
  32. Blüher, M. Obesity: Global epidemiology and pathogenesis. Nat. Rev. Endocrinol. 2019, 15, 288–298. [Google Scholar] [CrossRef] [PubMed]
  33. Foss, B.; Dyrstad, S.M. Stress in obesity: Cause or consequence? Med. Hypotheses 2011, 77, 7–10. [Google Scholar] [CrossRef]
  34. Wang, G.; Zhang, Y.; Zhao, J.; Zhang, J.; Jiang, F. Mitigate the effects of home confinement on children during the COVID-19 outbreak. Lancet 2020, 395, 945–947. [Google Scholar] [CrossRef]
  35. Clemente-Suárez, V.J.; Navarro-Jiménez, E.; Moreno-Luna, L.; Saavedra-Serrano, M.C.; Jimenez, M.; Simón, J.A.; Tornero-Aguilera, J.F. The Impact of the COVID-19 Pandemic on Social, Health, and Economy. Sustainability 2021, 13, 6314. [Google Scholar] [CrossRef]
  36. Clemente-Suárez, V.J.; Beltrán-Velasco, A.I.; Ramos-Campo, D.J.; Mielgo-Ayuso, J.; Nikolaidis, P.A.; Belando, N.; Tornero-Aguilera, J.F. Physical activity and COVID-19. The basis for an efficient intervention in times of COVID-19 pandemic. Physiol. Behav. 2022, 244, 113667. [Google Scholar] [CrossRef] [PubMed]
  37. Clemente-Suárez, V.J.; Ramos-Campo, D.J.; Mielgo-Ayuso, J.; Dalamitros, A.A.; Nikolaidis, P.A.; Hormeño-Holgado, A.; Tornero-Aguilera, J.F. Nutrition in the Actual COVID-19 Pandemic. A Narrative Review. Nutrients 2021, 13, 1924. [Google Scholar] [CrossRef]
  38. Clemente-Suárez, V.J.; Navarro-Jiménez, E.; Ruisoto, P.; Dalamitros, A.A.; Beltran-Velasco, A.I.; Hormeño-Holgado, A.; Laborde-Cárdenas, C.C.; Tornero-Aguilera, J.F. Performance of Fuzzy Multi-Criteria Decision Analysis of Emergency System in COVID-19 Pandemic. An Extensive Narrative Review. Int. J. Environ. Res. Public Health 2021, 18, 5208. [Google Scholar] [CrossRef]
  39. Clemente-Suárez, V.J.; Navarro-Jiménez, E.; Jimenez, M.; Hormeño-Holgado, A.; Martinez-Gonzalez, M.B.; Benitez-Agudelo, J.C.; Perez-Palencia, N.; Laborde-Cárdenas, C.C.; Tornero-Aguilera, J.F. Impact of COVID-19 Pandemic in Public Mental Health: An Extensive Narrative Review. Sustainability 2021, 13, 3221. [Google Scholar] [CrossRef]
  40. Clemente-Suárez, V.J.; Hormeño-Holgado, A.; Jiménez, M.; Benitez-Agudelo, J.C.; Navarro-Jiménez, E.; Perez-Palencia, N.; Maestre-Serrano, R.; Laborde-Cárdenas, C.C.; Tornero-Aguilera, J.F. Dynamics of Population Immunity Due to the Herd Effect in the COVID-19 Pandemic. Vaccines 2020, 8, 236. [Google Scholar] [CrossRef]
  41. Clemente-Suárez, V.J.; Martínez-González, M.B.; Benitez-Agudelo, J.C.; Navarro-Jiménez, E.; Beltran-Velasco, A.I.; Ruisoto, P.; Diaz Arroyo, E.; Laborde-Cárdenas, C.C.; Tornero-Aguilera, J.F. The Impact of the COVID-19 Pandemic on Mental Disorders. A Critical Review. Int. J. Environ. Res. Public Health 2021, 18, 10041. [Google Scholar] [CrossRef] [PubMed]
  42. Centers for Disease Control and Prevention. How to Address COVID-19 Vaccine Misinformation. In Vaccine Recipient Education; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2021. [Google Scholar]
  43. Kirk Sell, T. Meeting COVID-19 Misinformation and Disinformation Head-On. 2021. Available online: https://publichealth.jhu.edu/meeting-covid-19-misinformation-and-disinformation-head-on (accessed on 8 May 2020).
  44. Stabile, B.; Grant, A.; Purohit, H.; Harris, K. Sex, Lies, and Stereotypes: Gendered Implications of Fake News for Women in Politics. Public Integr. 2019, 21, 491–502. [Google Scholar] [CrossRef]
  45. Allcott, H.; Gentzkow, M. Social Media and Fake News in the 2016 Election. J. Econ. Perspect. 2017, 31, 211–236. [Google Scholar] [CrossRef] [Green Version]
  46. WHO. Infodemic Management: A Key Component of the COVID-19 Global Response. In Weekly Epidemiological Record; WHO: Geneva, Switzerland, 2020; Available online: http://extranet.who.int/iris/restricted/bitstream/handle/10665/331774/WER9516-eng-fre.pdf?ua=1 (accessed on 16 October 2021).
  47. Meese, J.; Frith, J.; Wilken, R. COVID-19, 5G conspiracies and infrastructural futures. Media Int. Aust. 2020, 177, 30–46. [Google Scholar] [CrossRef]
  48. Baker, S.A.; Wade, M.; Walsh, M.J. The challenges of responding to misinformation during a pandemic: Content moderation and the limitations of the concept of harm. Media Int. Aust. 2020, 177, 103–107. [Google Scholar] [CrossRef]
  49. Rodrigues, U.M.; Xu, J. Regulation of COVID-19 fake news infodemic in China and India. Media Int. Aust. 2020, 177, 125–131. [Google Scholar] [CrossRef]
  50. Orso, D.; Federici, N.; Copetti, R.; Vetrugno, L.; Bove, T. Infodemic and the spread of fake news in the COVID-19-era. Eur. J. Emerg. Med. 2020, 27, 327–328. [Google Scholar] [CrossRef]
  51. Zarocostas, J. How to fight an infodemic. Lancet 2020, 395, 676. [Google Scholar] [CrossRef]
  52. Chee, F.Y.; Baczynska, G. EU Justice Chief Urges U.S. Tech Giants to Halt Virus Clickbaits. Reuters. 2020. Available online: https://www.reuters.com/article/us-health-coronavirus-eu-tech/eu-justice-chief-urges-u-s-tech-giants-to-halt-virus-clickbaits-idUSKBN21K2BY?feedType=RSS&feedName=technologyNews&utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+reuters%2Ftechnolog (accessed on 16 October 2021).
  53. Blackbird, A. Volume 2: Delegitimization and Conspiracies. COVID-19 Disinformation Report. 2020. Available online: https://www.blackbird.ai/blog/2020/03/17/covid-19-coronavirus-disinformation-report-volume-2-0/ (accessed on 16 October 2021).
  54. Reporters without Borders. Disinformation. Tracker-19. Available online: https://rsf.org/en/disinformation (accessed on 1 February 2022).
  55. Spring, M. Coronavirus: The Human Cost of Virus Misinformation. BBC News. 27 May 2020. Available online: https://www.bbc.com/news/stories-52731624 (accessed on 17 October 2021).
  56. Brennen, S.; Felix, S.; Howart, P.; Nielsen, R. Types, Sources and Claims of COVID-19 Misinformation. Ph.D. Thesis, University of Oxford, Oxford, UK, 2020. [Google Scholar]
  57. Smith, V.; Wanless, A. Unmasking the Truth: Public Health Experts, the Coronavirus, and the Raucous Marketplace of Ideas; Carnegie Endowment for International Peace: Washington, DC, USA, 2020. [Google Scholar]
  58. Evanega, S.; Lynas, M.; Adams, J.; Smolenyak, K.; Insights, C.G. Coronavirus misinformation: Quantifying sources and themes in the COVID-19 ‘infodemic’. JMIR Prepr. 2020, 19, 2020. [Google Scholar]
  59. Shimizu, K. 2019-nCoV, fake news, and racism. Lancet 2020, 395, 685–686. [Google Scholar] [CrossRef]
  60. Devakumar, D.; Shannon, G.; Bhopal, S.S.; Abubakar, I. Racism and discrimination in COVID-19 responses. Lancet 2020, 395, 1194. [Google Scholar] [CrossRef]
  61. EUROPOL. Catching the Virus Cybercrime, Disinformation and the COVID-19 Pandemic. 2020. Available online: https://www.europol.europa.eu/publications-events/publications/catching-virus-cybercrime-disinformation-and-covid-19-pandemic (accessed on 17 October 2021).
  62. State Department and USAID. The Global Engagement Center: Leading the United Estates Government’s Fight against Global Disinformation Threat. 2020. Available online: https://www.foreign.senate.gov/imo/media/doc/030520--TheGlobalEngagementCenterLeadingtheUnitedStatesGovernmentsFightAgainstGlobalDisinformationThreat.pdf (accessed on 17 October 2021).
  63. Broniatowski, D.A.; Kerchner, D.; Farooq, F.; Huang, X.; Jamison, A.M.; Dredze, M.; Quinn, S.C. Twitter and Facebook posts about COVID-19 are less likely to spread false and low-credibility content compared to other health topics. arXiv 2020, arXiv:2007.09682. [Google Scholar] [CrossRef]
  64. Zhou, P.; Yang, X.-L.; Wang, X.-G.; Hu, B.; Zhang, L.; Zhang, W.; Si, H.-R.; Zhu, Y.; Li, B.; Huang, C.-L.; et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 2020, 579, 270–273. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Broderick, R. Anon Supporters and Anti-Vaxxers Are Spreading a Hoax That Bill Gates Created the Coronavirus. BuzzFeed News. 24 January 2020. Available online: https://www.buzzfeednews.com/article/ryanhatesthis/qanon-supporters-and-anti-vaxxers-are-spreading-a-hoax-that (accessed on 17 October 2021).
  66. Ashrafi-Rizi, H.; Kazempour, Z. Information Typology in Coronavirus (COVID-19) Crisis; a Commentary. Arch. Acad. Emerg. Med. 2020, 8, e19. [Google Scholar] [PubMed]
  67. Tagliabue, F.; Galassi, L.; Mariani, P. The “Pandemic” of Disinformation in COVID-19. SN Compr. Clin. Med. 2020, 2, 1287–1289. [Google Scholar] [CrossRef]
  68. Index on Censorship. Index on Censorship. Disease control? Index’s Global Project to Map Media Freedom during the Coronavirus Crisis. 2021. Available online: https://www.indexoncensorship.org/disease-control/ (accessed on 17 October 2021).
  69. Wood, Z. Amazon Struggles to Halt Tide of Coronavirus Profiteers. The Guardian. 3 March 2020. Available online: https://www.theguardian.com/technology/2020/mar/03/amazon-struggles-to-halt-tide-of-coronavirus-profiteers (accessed on 17 October 2021).
  70. Nguyen, A.; Catalan-Matamoros, D. Digital Mis/Disinformation and Public Engagment with Health and Science Controversies: Fresh Perspectives from COVID-19. Media Commun. 2020, 8, 323–328. [Google Scholar] [CrossRef]
  71. Broniatowski, D.A.; Jamison, A.M.; Qi, S.; AlKulaib, L.; Chen, T.; Benton, A.; Quinn, S.C.; Dredze, M. Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate. Am. J. Public Health 2018, 108, 1378–1384. [Google Scholar] [CrossRef]
  72. López-Pujalte, C.; Nuño-Moral, M.V. La “infodemia” en la crisis del coronavirus: Análisis de desinformaciones en España y Latinoamérica. Rev. Esp. Doc. Cient. 2020, 43, 274. [Google Scholar] [CrossRef]
  73. Scheufele, D.A.; Krause, N.M. Science audiences, misinformation, and fake news. Proc. Natl. Acad. Sci. USA 2019, 116, 7662–7669. [Google Scholar] [CrossRef] [Green Version]
  74. Inkster, B.; O’Brien, R.; Selby, E.; Joshi, S.; Subramanian, V.; Kadaba, M.; Schroeder, K.; Godson, S.; Comley, K.; Vollmer, S.J.; et al. Digital Health Management During and Beyond the COVID-19 Pandemic: Opportunities, Barriers, and Recommendations. JMIR Ment. Health 2020, 7, e19246. [Google Scholar] [CrossRef]
  75. Fox, S.; Duggan, M. Pew Research Center Web Site. 2013. Available online: https://www.pewresearch.org/internet/2013/01/15/health-online-2013/ (accessed on 3 February 2020).
  76. Shandwick, W. The Great American Search for Healthcare Information. 2018. Available online: https://www.webershandwick.com/wp-content/uploads/2018/11/Healthcare-Info-Search-Report.pdf (accessed on 10 February 2020).
  77. Rodgers, K.; Massac, N. Misinformation: A Threat to the Public’s Health and the Public Health System. J. Public Health Manag. Pract. 2020, 26, 294–296. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Igoe, K. Establishing the Truth: Vaccines, Social Media, and the Spread of Misinformation. 2019. Available online: https://www.hsph.harvard.edu/ecpe/vaccines-social-media-spread-misinformation (accessed on 10 February 2020).
  79. Tasnim, S.; Hossain, M.M.; Mazumder, H. Impact of Rumors and Misinformation on COVID-19 in Social Media. J. Prev. Med. Public Health 2020, 53, 171–174. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  80. Scheufele, D.A.; Hoffman, A.J.; Neeley, L.; Reid, C.M. Misinformation about science in the public sphere. Proc. Natl. Acad. Sci. USA 2021, 118, e2104068118. [Google Scholar] [CrossRef] [PubMed]
  81. Solomon, D.H.; Bucala, R.; Kaplan, M.J.; Nigrovic, P.A. The “Infodemic” of COVID-19. Arthritis Rheumatol. 2020, 72, 1806–1808. [Google Scholar] [CrossRef]
  82. Watson, K.E.; Tsuyuki, R.T. Pharmacists must combat mis/disinformation! Can. Pharm. J. Rev. Pharm. Can. 2021, 154, 68–69. [Google Scholar] [CrossRef]
  83. Lwin, M.O.; Lu, J.; Sheldenkar, A.; Schulz, P.J.; Shin, W.; Gupta, R.; Yang, Y. Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends. JMIR Public Health Surveill. 2020, 6, e19447. [Google Scholar] [CrossRef]
  84. Gharpure, R.; Hunter, C.M.; Schnall, A.H.; Barrett, C.E.; Kirby, A.E.; Kunz, J.; Berling, K.; Mercante, J.W.; Murphy, J.L.; Garcia-Williams, A.G. Knowledge and practices regarding safe household cleaning and disinfection for COVID-19 prevention—United States, May 2020. Am. J. Transplant. 2020, 20, 2946–2950. [Google Scholar] [CrossRef]
  85. Park, C. Coronavirus: Saltwater Spray Infects 46 Church-Goers in South Korea 2020. Available online: https://www.scmp.com/week-asia/health-environment/article/3075421/coronavirus-salt-water-spray-infects-46-church-goers (accessed on 10 November 2021).
  86. Associated Press. Coronavirus: In Iran, the False Belief That Toxic Methanol Fights COVID-19 Kills Hundreds. South China Morning Post, 27 March 2020. [Google Scholar]
  87. Kim, H.K.; Ahn, J.; Atkinson, L.; Kahlor, L.A. Effects of COVID-19 Misinformation on Information Seeking, Avoidance, and Processing: A Multicountry Comparative Study. Sci. Commun. 2020, 42, 586–615. [Google Scholar] [CrossRef]
  88. Hameleers, M.; van der Meer, T.; Brosius, A. Feeling ‘Disinformed’ Lowers Compli Ance with COVID-19 Guidelines: Evidence from the US, UK, the Netherlands and Research Questions. Harvard Kennedy School. 2020. Available online: https://misinforeview.hks.harvard.edu/article/feeling-disinformed-lowers-compliance-with-covid-19-guidelines-evidence-from-the-us-uk-netherlands-and-germany/ (accessed on 10 November 2021).
  89. Hussain, W. Role of Social Media in COVID-19 Pandemic. Int. J. Front. Sci. 2020, 4, 59–60. [Google Scholar] [CrossRef]
  90. Catalán-Matamoros, D. La comunicación sobre la pandemia del COVID-19 en la era digital: Manipulación informativa, fake news y redes sociales. Rev. Esp. Comun. Salud 2020, 5. [Google Scholar] [CrossRef]
  91. Dib, F.; Mayaud, P.; Chauvin, P.; Launay, O. Online mis/disinformation and vaccine hesitancy in the era of COVID-19: Why we need an eHealth literacy revolution. Hum. Vaccines Immunother. 2021, 18, 1–3. [Google Scholar] [CrossRef] [PubMed]
  92. Maneck, M.; Günster, C.; Meyer, H.-J.; Heidecke, C.-D.; Rolle, U. Influence of COVID-19 confinement measures on appendectomies in Germany—A claims data analysis of 9797 patients. Langenbeck’s Arch. Surg. 2021, 406, 385–391. [Google Scholar] [CrossRef] [PubMed]
  93. Naeem, S.B.; Bhatti, R.; Khan, A. An exploration of how fake news is taking over social media and putting public health at risk. Health Inf. Libr. J. 2021, 38, 143–149. [Google Scholar] [CrossRef]
  94. Vrdelja, M.; Vrbovšek, S.; Klopčič, V.; Dadaczynski, K.; Okan, O. Facing the Growing COVID-19 Infodemic: Digital Health Literacy and Information-Seeking Behaviour of University Students in Slovenia. Int. J. Environ. Res. Public Health 2021, 18, 8507. [Google Scholar] [CrossRef] [PubMed]
  95. Singh, I.; Bontcheva, K.; Scarton, C. The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis. arXiv 2021, arXiv:2107.12303. [Google Scholar]
  96. Mohamad, E.; Tham, J.S.; Ayub, S.H.; Hamzah, M.R.; Hashim, H.; Azlan, A.A. Relationship Between COVID-19 Information Sources and Attitudes in Battling the Pandemic Among the Malaysian Public: Cross-Sectional Survey Study. J. Med. Internet Res. 2020, 22, e23922. [Google Scholar] [CrossRef]
  97. Johnson, N.F.; Velasquez, N.; Jha, O.K.; Niyazi, H.; Leahy, R.; Restrepo, N.J.; Sear, R.; Manrique, P.; Lupu, Y.; Devkota, P.; et al. COVID-19 Infodemic Reveals New Tipping Point Epidemiology and a Revised $R$ Formula. 2020. Available online: http://arxiv.org/abs/2008.08513 (accessed on 10 November 2021).
  98. O’Hair, H.D.; O’Hair, M.J. (Eds.) Communicating Science in Times of Crisis; Wiley: New York, NY, USA, 2021. [Google Scholar]
  99. Desta, T.T.; Mulugeta, T. Living with COVID-19-triggered pseudoscience and conspiracies. Int. J. Public Health 2020, 65, 713–714. [Google Scholar] [CrossRef]
  100. Gagliardone, I.; Diepeveen, S.; Findlay, K.; Olaniran, S.; Pohjonen, M.; Tallam, E. Demystifying the COVID-19 Infodemic: Conspiracies, Context, and the Agency of Users. Soc. Media Soc. 2021, 7, 205630512110442. [Google Scholar] [CrossRef]
  101. Gupta, L.; Gasparyan, A.Y.; Misra, D.P.; Agarwal, V.; Zimba, O.; Yessirkepov, M. Information and Misinformation on COVID-19: A Cross-Sectional Survey Study. J. Korean Med. Sci. 2020, 35, e256. [Google Scholar] [CrossRef]
  102. Barua, Z.; Barua, S.; Aktar, S.; Kabir, N.; Li, M. Effects of misinformation on COVID-19 individual responses and recommendations for resilience of disastrous consequences of misinformation. Prog. Disaster Sci. 2020, 8, 100119. [Google Scholar] [CrossRef]
  103. Volkman, J.E.; Hokeness, K.L.; Morse, C.R.; Viens, A.; Dickie, A. Information source’s influence on vaccine perceptions: An exploration into perceptions of knowledge, risk and safety. J. Commun. Healthc. 2021, 14, 50–60. [Google Scholar] [CrossRef]
  104. Calnan, M.; Douglass, T. Hopes, hesitancy and the risky business of vaccine development. Health. Risk Soc. 2020, 22, 291–304. [Google Scholar] [CrossRef]
  105. Savolainen, R. Assessing the credibility of COVID-19 vaccine mis/disinformation in online discussion. J. Inf. Sci. 2021, 016555152110406. [Google Scholar] [CrossRef]
  106. Henriquez-Mendoza, G.M. El “evento de El Carmen de Bolívar” en la vacunación contra VPH en Colombia. ¿Causa o desenlace? Rev. Salud Pública 2020, 22, 1–6. [Google Scholar] [CrossRef]
  107. Wakefield, A.; Murch, S.; Anthony, A.; Linnell, J.; Casson, D.; Malik, M.; Berelowitz, M.; Dhillon, A.; Thomson, M.; Harvey, P.; et al. RETRACTED: Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children. Lancet 1998, 351, 637–641. [Google Scholar] [CrossRef]
  108. Godlee, F.; Smith, J.; Marcovitch, H. Wakefield’s article linking MMR vaccine and autism was fraudulent. BMJ 2011, 342, c7452. [Google Scholar] [CrossRef] [Green Version]
  109. Sathyanarayana Rao, T.; Andrade, C. The MMR vaccine and autism: Sensation, refutation, retraction, and fraud. Indian J. Psychiatry 2011, 53, 95. [Google Scholar] [CrossRef]
  110. BBC News. £3m to promote MMR vaccine. BBC News, 6 January 2001. [Google Scholar]
  111. Cohen, N. Anti-vaxxers posing as victims has a history. Look at Andrew Wakefield. The Guardian, 6 January 2021. [Google Scholar]
  112. Puri, N.; Coomes, E.A.; Haghbayan, H.; Gunaratne, K. Social media and vaccine hesitancy: New updates for the era of COVID-19 and globalized infectious diseases. Hum. Vaccin. Immunother. 2020, 16, 2586–2593. [Google Scholar] [CrossRef]
  113. Jenkins, M.C.; Moreno, M.A. Vaccination Discussion among Parents on Social Media: A Content Analysis of Comments on Parenting Blogs. J. Health Commun. 2020, 25, 232–242. [Google Scholar] [CrossRef]
  114. Meleo-Erwin, Z.; Basch, C.; MacLean, S.A.; Scheibner, C.; Cadorett, V. “To each his own”: Discussions of vaccine decision-making in top parenting blogs. Hum. Vaccin. Immunother. 2017, 13, 1895–1901. [Google Scholar] [CrossRef]
  115. Blankenship, E. Sentiment, Contents, and Retweets: A Study of Two Vaccine-Related Twitter Datasets. Perm. J. 2018, 22, 17–138. [Google Scholar] [CrossRef] [PubMed]
  116. DiResta, R. Anti-vaxxers Think This Is Their Moment. The Atlantic. 20 December 2020. Available online: https://www.theatlantic.com/ideas/archive/2020/12/campaign-against-vaccines-already-under-way/617443/ (accessed on 10 February 2020).
  117. Statista. Redes Sociales con Mayor Número de Usuarios Activos a Nivel Mundial en Enero de 2021(en Millones). 2021. Available online: https://es.statista.com/estadisticas/600712/ranking-mundial-de-redes-sociales-por-numero-de-usuarios/#:~:text=Facebook%20encabezaba%20de%20nuevo%20en,seg%C3%BAn%20datos%20facilitados%20por%20DataReportal (accessed on 10 February 2020).
  118. Bloomberg. Facebook Removed 20 Million Pieces of COVID-19 Misinformation. 2021. Available online: https://www.bloomberg.com/news/articles/2021-08-18/facebook-removed-20-million-pieces-of-covid-19-misinformation (accessed on 10 February 2020).
  119. BBC News. COVID Misinformation on Facebook Is Killing People-Biden. BBC News, 17 July 2021. [Google Scholar]
  120. Bowles, J.; Larreguy, H.; Liu, S. Countering misinformation via WhatsApp: Preliminary evidence from the COVID-19 pandemic in Zimbabwe. PLoS ONE 2020, 15, e0240005. [Google Scholar] [CrossRef] [PubMed]
  121. Soares, F.B.; Recuero, R.; Volcan, T.; Fagundes, G.; Sodré, G. Desinformação sobre o COVID-19 no WhatsApp: A pandemia enquadrada como debate político. Ciênc. Inf. Rev. 2021, 8, 74. [Google Scholar] [CrossRef]
  122. Quinn, E.K.; Fazel, S.S.; Peters, C.E. The Instagram Infodemic: Cobranding of Conspiracy Theories, Coronavirus Disease 2019 and Authority-Questioning Beliefs. Cyberpsychol. Behav. Soc. Netw. 2021, 24, 573–577. [Google Scholar] [CrossRef] [PubMed]
  123. Hern, A. Instagram Led Users to COVID Misinformation Amid Pandemic–Report. The Guardian, 9 March 2021. [Google Scholar]
  124. Shahi, G.K.; Dirkson, A.; Majchrzak, T.A. An exploratory study of COVID-19 misinformation on Twitter. Online Soc. Netw. Media 2021, 22, 100104. [Google Scholar] [CrossRef]
  125. Twitter. COVID-19 Misinformation. Available online: https://twitter.com (accessed on 10 February 2020).
  126. UNICEF. Vaccine Misinformation Management Field Guide: Guidance for Addressing a Global Infodemic and Fostering Demand for Immunization; UNICEF: New York, NY, USA, 2020; Available online: https://www.unicef.org/mena/reports/vaccine-misinformation-management-field-guide (accessed on 10 February 2020).
  127. Thomson, A.; Watson, M. Listen, Understand, Engage. Sci. Transl. Med. 2012, 4, 138ed6. [Google Scholar] [CrossRef] [Green Version]
  128. Lockyer, B.; Islam, S.; Rahman, A.; Dickerson, J.; Pickett, K.; Sheldon, T.; Wright, J.; McEachan, R.; Sheard, L. Understanding COVID-19 misinformation and vaccine hesitancy in context: Findings from a qualitative study involving citizens in Bradford, UK. Health Expect. 2021, 24, 1158–1167. [Google Scholar] [CrossRef]
  129. Cuan-Baltazar, J.Y.; Muñoz-Perez, M.J.; Robledo-Vega, C.; Pérez-Zepeda, M.F.; Soto-Vega, E. Misinformation of COVID-19 on the Internet: Infodemiology Study. JMIR Public Health Surveill. 2020, 6, e18444. [Google Scholar] [CrossRef] [Green Version]
  130. Roozenbeek, J.; Schneider, C.R.; Dryhurst, S.; Kerr, J.; Freeman, A.L.J.; Recchia, G.; van der Bles, A.M.; van der Linden, S. Susceptibility to misinformation about COVID-19 around the world. R. Soc. Open Sci. 2020, 7, 201199. [Google Scholar] [CrossRef]
  131. Ali, S.H.; Foreman, J.; Tozan, Y.; Capasso, A.; Jones, A.M.; DiClemente, R.J. Trends and Predictors of COVID-19 Information Sources and Their Relationship with Knowledge and Beliefs Related to the Pandemic: Nationwide Cross-Sectional Study. JMIR Public Health Surveill. 2020, 6, e21071. [Google Scholar] [CrossRef]
  132. Agley, J. Misinformation about COVID-19: Evidence for differential latent profiles and a strong association with trust in science. BMC Public Health 2021, 21, 89. [Google Scholar] [CrossRef] [PubMed]
  133. Jaiswal, J.; LoSchiavo, C.; Perlman, D.C. Disinformation, Misinformation and Inequality-Driven Mistrust in the Time of COVID-19: Lessons Unlearned from AIDS Denialism. AIDS Behav. 2020, 24, 2776–2780. [Google Scholar] [CrossRef] [PubMed]
  134. Motta, M.; Stecula, D.; Farhart, C. How right-leaning media coverage of COVID-19 facilitated the spread of misinformation in the early stages of the pandemic in the U.S. Can. J. Polit. Sci. 2020, 53, 335–342. [Google Scholar] [CrossRef]
  135. Kreps, S.; Dasgupta, N.; Brownstein, J.S.; Hswen, Y.; Kriner, D.L. Public attitudes toward COVID-19 vaccination: The role of vaccine attributes, incentives, and misinformation. NPJ Vaccines 2021, 6, 73. [Google Scholar] [CrossRef] [PubMed]
  136. Loomba, S.; de Figueiredo, A.; Piatek, S.J.; de Graaf, K.; Larson, H.J. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nat. Hum. Behav. 2021, 5, 337–348. [Google Scholar] [CrossRef] [PubMed]
  137. The Japan News. Digital Tech Rushes Forward. The Japan News, 8 June 2021; 1–3. [Google Scholar]
  138. Sobkowicz, P.; Sobkowicz, A. Agent based model of anti-vaccination movements: Simulations and comparison with empirical data. Vaccines 2021, 9, 809. [Google Scholar] [CrossRef]
  139. Chou, W.Y.S.; Budenz, A. Considering Emotion in COVID-19 Vaccine Communication: Addressing Vaccine Hesitancy and Fostering Vaccine Confidence. Health Commun. 2020, 35, 1718–1722. [Google Scholar] [CrossRef]
  140. Rzymski, P.; Borkowski, L.; Flisiak, R.; Jemielity, J.; Krajewski, J. The Strategies to Support the COVID-19 Vaccination with Evidence-Based Communication and Tackling Misinformation. Vaccines 2021, 9, 109. [Google Scholar] [CrossRef]
  141. Curiel, R.P.; Ramírez, H.G. Vaccination strategies against COVID-19 and the diffusion of anti-vaccination views. Sci. Rep. 2021, 11, 6626. [Google Scholar] [CrossRef]
  142. Hanif, S.; Farooq, A.; Mahmood, K.; Isoaho, J.; Zara, , S. From information seeking to information avoidance: Understanding the health information behavior during a global health crisis. Inf. Processing Manag. 2020, 58, 102440. [Google Scholar]
  143. Krawczyk, K.; Chelkowski, T.; Laydon, D.J.; Mishra, S.; Xifara, D.; Flaxman, S.; Flaxman, S.; Mellan, T.; Schwämmle, V.; Röttger, R.; et al. Quantifying online news media coverage of the COVID-19 pandemic: Text mining study and resource. J. Med. Internet Res. 2021, 23, e28253. [Google Scholar] [CrossRef] [PubMed]
  144. Statista. What Sources Do You Actively Use to Keep Informed about the COVID-19/Coronavirus Pandemic? Statista: Hamburg, Germany, 2021. [Google Scholar]
  145. Gehrau, V.; Fujarski, S.; Lorenz, H.; Schieb, C.; Blöbaum, B. The impact of health information exposure and source credibility on COVID-19 vaccination intention in germany. Int. J. Environ. Res. Public Health 2021, 18, 4678. [Google Scholar] [CrossRef] [PubMed]
  146. Piltch-Loeb, R.; Savoia, E.; Goldberg, B.; Hughes, B.; Verhey, T.; Kayyem, J.; Miller-Idriss, C.; Testa, M. Examining the effect of information channel on COVID-19 vaccine acceptance. PLoS ONE 2021, 16, 1–14. [Google Scholar] [CrossRef] [PubMed]
  147. Earnshaw, V.A.; Eaton, L.A.; Kalichman, S.C.; Brousseau, N.M.; Hill, E.C.; Fox, A.B. COVID-19 conspiracy beliefs, health behaviors, and policy support. Transl. Behav. Med. 2020, 10, 850–856. [Google Scholar] [CrossRef]
  148. Ahmed, W.; Vidal-alaball, J.; Downing, J. COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data. J. Med. Internet Res. 2020, 22, 1–9. [Google Scholar] [CrossRef]
  149. Lovari, A. Spreading (Dis) Trust: COVID-19 Misinformation and Government Intervention in Italy. Media Commun. 2020, 8, 458–461. [Google Scholar] [CrossRef]
  150. Scannell, D.; Desens, L.; Guadagno, M.; Tra, Y.; Acker, E.; Sheridan, K.; Rosner, M.; Mathieu, J.; Fulk, M. COVID-19 Vaccine Discourse on Twitter: A Content Analysis of Persuasion Techniques, Sentiment and Mis/Disinformation. J. Health Commun. 2021, 26, 443–459. [Google Scholar] [CrossRef]
  151. Yang, A.; Shin, J.; Zhou, A.; Huang-Isherwood, K.M.; Lee, E.; Dong, C.; Kim, H.M.; Zhang, Y.; Sun, J.; Li, Y.; et al. The Battleground of COVID-19 Vaccine Misinformation on Facebook: Fact Checkers vs. Misinformation Spreaders; Misinformation Review; Harvard Kennedy School: Cambridge, MA, USA, 2021. [Google Scholar] [CrossRef]
  152. Hartley, K.; Vu, M.K. Fighting fake news in the COVID-19 era: Policy insights from an equilibrium model. Policy Sci. 2020, 53, 735–758. [Google Scholar] [CrossRef]
  153. Montagni, I.; Ouazzani-Touhami, K.; Mebarki, A.; Texier, N.; Schück, S.; Tzourio, C. Acceptance of a COVID-19 vaccine is associated with ability to detect fake news and health literacy. J. Public Health 2021, 43, 695–702. [Google Scholar] [CrossRef]
  154. Scerri, M.; Grech, V. WITHDRAWN: COVID-19, its novel vaccination and fake news—What a brew. Early Hum. Dev. 2020, 105256. [Google Scholar] [CrossRef]
  155. Kricorian, K.; Civen, R.; Equils, O. COVID-19 vaccine hesitancy: Misinformation and perceptions of vaccine safety. Hum. Vaccin. Immunother. 2021, 18, 1950504. [Google Scholar] [CrossRef] [PubMed]
  156. Hotez, P.; Batista, C.; Ergonul, O.; Figueroa, J.P.; Gilbert, S.; Gursel, M.; Hassanain, M.; Kang, G.; Kim, J.H.; Lall, B.; et al. Correcting COVID-19 vaccine misinformation. EClinicalMedicine 2021, 33, 100780. [Google Scholar] [CrossRef] [PubMed]
  157. Van der Linden, S.; Dixon, G.; Clarke, C.; Cook, J. Inoculating against COVID-19 vaccine misinformation. EClinicalMedicine 2021, 33, 100772. [Google Scholar] [CrossRef] [PubMed]
  158. Malik, A.A.; McFadden, S.M.; Elharake, J.; Omer, S.B. Determinants of COVID-19 vaccine acceptance in the US. EClinicalMedicine 2020, 26, 100495. [Google Scholar] [CrossRef]
  159. Basch, C.H.; Meleo-Erwin, Z.; Fera, J.; Jaime, C.; Basch, C.E. A global pandemic in the time of viral memes: COVID-19 vaccine misinformation and disinformation on TikTok. Hum. Vaccines Immunother. 2021, 17, 2373–2377. [Google Scholar] [CrossRef]
  160. Islam, M.S.; Kamal, A.-H.M.; Kabir, A.; Southern, D.L.; Khan, S.H.; Hasan, S.M.M.; Sarkar, T.; Sharmin, S.; Das, S.; Roy, T.; et al. COVID-19 vaccine rumors and conspiracy theories: The need for cognitive inoculation against misinformation to improve vaccine adherence. PLoS ONE 2021, 16, e0251605. [Google Scholar] [CrossRef]
  161. Lewandowsky, S.; Cook, J.; Schmid, P.; Holford, D.L.; Finn, A.; Leask, J.; Vraga, E.K.; The COVID-19 Vaccine Communication Handbook. A Practical Guide for Improving Vaccine Communication and Fighting Misinformation. 2021. Available online: https://www.movementdisorders.org/MDS-Files1/The_COVID-19_Vaccine_Communication_Handbook.pdf (accessed on 26 October 2021).
  162. Rutschman, A.S. The COVID-19 vaccine race: Intellectual property, collaboration(s), nationalism and misinformation. Wash. UJL Policy 2021, 64, 167–201. [Google Scholar]
  163. Lazarus, J.V.; Ratzan, S.C.; Palayew, A.; Gostin, L.O.; Larson, H.J.; Rabin, K.; Kimball, S.; El-Mohandes, A. A global survey of potential acceptance of a COVID-19 vaccine. Nat. Med. 2021, 27, 225–228. [Google Scholar] [CrossRef]
  164. Motta, M.; Sylvester, S.; Callaghan, T.; Lunz-Trujillo, K. Encouraging COVID-19 Vaccine Uptake Through Effective Health Communication. Front. Polit. Sci. 2021, 3, 1. [Google Scholar] [CrossRef]
  165. Dickerson, J.; Lockyer, B.; Moss, R.H.; Endacott, C.; Kelly, B.; Bridges, S.; Crossley, K.L.; Bryant, M.; Sheldon, T.A.; Wright, J.; et al. COVID-19 vaccine hesitancy in an ethnically diverse community: Descriptive findings from the Born in Bradford study. Wellcome Open Res. 2021, 6, 23. [Google Scholar] [CrossRef]
  166. Li, C.; Wang, Z. Research on the Applications of Information Technology in Sport Management. In International Conference on Information and Business Intelligence; Qu, X., Yang, Y., Eds.; Springer: Berlin/Heidelberg, Germany, 2012; Volume 268, pp. 247–252. [Google Scholar]
Table 1. Social media platforms and their characteristics.
Table 1. Social media platforms and their characteristics.
Social Media PlatformStart YearNumber of Monthly Active Users Worldwide in 2021 [117]CharacteristicsDis/Misinformation Spread
Facebook20042500 thousands of millionsPlatform that allows users to upload, share and like various images, videos, live videos, stories, and specific pages.It has deleted more than 20 million posts on its main social network and photo-sharing app Instagram for violating COVID-19 misinformation rules since the start of the pandemic. Facebook seeks to address criticism that its platforms have been used to spread fear about vaccines and misleading information about coronavirus. The company implemented new policies against COVID-19 misinformation, including a ban on repeat offenders spreading falsehoods and directing users to a central COVID-19 clearinghouse [118]. However, US President Joe Biden warned in July 2021 that the spread of misinformation about COVID-19 on social media is “killing people”, when questioned about the alleged role of “platforms like Facebook” in spreading falsehoods about vaccines and the pandemic [119].
YouTube20052291 thousands of millionsVideo sharing platform that allows users to upload, bookmark, and share videos.YouTube said it removed 130,000 videos from its platform in 2020 and 2021 when it implemented a ban on content that spreads misinformation about COVID vaccines. Policy includes termination of antivaccine influencer accounts [119].
WhatsApp20092000 thousands of millionsInstant messaging application for smartphones, in which messages are sent and received via the Internet, as well as images, videos, audio, audio recordings (voice notes), and calls and video calls with several participants at the same time, among other functions.The ease of dissemination of messages from this social network and the relative anonymity that it provides to the first replicator of a chain message allows the sending of false and incomplete messages. In a study carried out in Zimbabwe countering misinformation through WhatsApp, it was found that potentially harmful behavior that does not comply with blocking guidelines decreased by 30 percentage points. The results show that social media posts from trusted sources can have substantially large effects not only on people’s knowledge but ultimately on related behavior [120]. Brazilian researchers questioned the role in the spread of the COVID-19 outbreak in their country and the disinformation through WhatsApp of President Bolsonaro’s narrative to minimize the impact of the disease in Brazil [121]
Instagram20101000 thousand of millionsImage-sharing platform that allows users to upload, share, and like images and short videos.An analysis of pages with hashtags frequently used by antivaccine conspirators found that general mistrust of vaccines was the most common, including the idea that the government and/or the media have fabricated or concealed information related to COVID-19. Conspiracy theories were the second most prevalent topic among the publications. In general, COVID-19 was frequently presented in association with beliefs that question authority [122].
A March 2021 report found that Instagram recommendations in the UK pushed users toward COVID disinformation, antivaccine content, and antisemitic material during the peak of the pandemic. Misinformation was most frequently displayed to new users who followed a combination of accounts on the platform that included leading personalities in the fight against vaccination or wellness influencers who disdained the efficacy of vaccines [123].
Twitter20063295 thousands of millionsPlatform that allows you to share short messages that can be accompanied by images.Twitter introduced a feature in August 2021 that allows users to report misinformation they find on the platform, flagging it to the company as “misleading.” An exploratory study of my information found that false claims spread faster than partially false ones. Compared to a background corpus of COVID-19 tweets, misinformation tweets are more often concerned with discrediting other information on social media [124].
In August 2021, Twitter suspended 229 accounts and removed 5579 accounts that violated the antimisinformation policy of COVID-19 [125].
Table 2. Stages of intervention for management to combat misinformation.
Table 2. Stages of intervention for management to combat misinformation.
StageCharacteristics
PreparaciónIt involves developing a personalized strategy for the public receiving the information, an evaluation of the information ecosystem, and the creation of the team with the right personnel.
Social listeningA social listening system can help optimize the detection of signs of misinformation and identification of emergencies or concerns from community members. The development of a social listening system must be guided by triangulation
between the various tools available and the mapping of the information ecosystem, in particular, of the channels in which information related to vaccines is disseminated and discussed. Teams must ensure that they are equipped with the necessary skills to use these tools and make sense of the data to deliver actionable insights.
UnderstandingAnalyzing the potential impact of misinformation in a structured way helps classify rumors and identify rumors that require a response. It can be challenging to determine conclusively if something is true. The process requires research to obtain as much information as possible: verify the real origin of the information, the date of creation of the content, and the motivation for creating the content.
EngagementMake sure that vaccine promotional content is more attractive (sticky) than misinformation. This can be achieved by capturing attention with high impact and visual media, presenting information clearly and continuously. Show the vaccination experience as positive avoiding the presentation of the act of vaccinating and crying children. Present stories of successful vaccination experiences.
Note. Source: Adapted from Unicef. Vaccine misinformation management field guide: Guidance for addressing a global infodemic and fostering demand for immunization (2020).
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Clemente-Suárez, V.J.; Navarro-Jiménez, E.; Simón-Sanjurjo, J.A.; Beltran-Velasco, A.I.; Laborde-Cárdenas, C.C.; Benitez-Agudelo, J.C.; Bustamante-Sánchez, Á.; Tornero-Aguilera, J.F. Mis–Dis Information in COVID-19 Health Crisis: A Narrative Review. Int. J. Environ. Res. Public Health 2022, 19, 5321. https://doi.org/10.3390/ijerph19095321

AMA Style

Clemente-Suárez VJ, Navarro-Jiménez E, Simón-Sanjurjo JA, Beltran-Velasco AI, Laborde-Cárdenas CC, Benitez-Agudelo JC, Bustamante-Sánchez Á, Tornero-Aguilera JF. Mis–Dis Information in COVID-19 Health Crisis: A Narrative Review. International Journal of Environmental Research and Public Health. 2022; 19(9):5321. https://doi.org/10.3390/ijerph19095321

Chicago/Turabian Style

Clemente-Suárez, Vicente Javier, Eduardo Navarro-Jiménez, Juan Antonio Simón-Sanjurjo, Ana Isabel Beltran-Velasco, Carmen Cecilia Laborde-Cárdenas, Juan Camilo Benitez-Agudelo, Álvaro Bustamante-Sánchez, and José Francisco Tornero-Aguilera. 2022. "Mis–Dis Information in COVID-19 Health Crisis: A Narrative Review" International Journal of Environmental Research and Public Health 19, no. 9: 5321. https://doi.org/10.3390/ijerph19095321

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop