Respiratory Infectious Disease Epidemiology and Control

A special issue of Tropical Medicine and Infectious Disease (ISSN 2414-6366). This special issue belongs to the section "Infectious Diseases".

Deadline for manuscript submissions: 29 August 2025 | Viewed by 7527

Special Issue Editors


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Guest Editor
WHO Collaborating Centre for Infectious Disease Epidemiology and Control, Division of Epidemiology & Biostatistics, School of Public Health, Faculty of Medicine, The University of Hong Kong, 1/F Patrick Manson Building (North Wing), 7 Sassoon Road, Hong Kong
Interests: infectious diseases epidemiology; transmission dynamics; prediction and forecast; environmental epidemiology; mitigation and control of epidemics; biostatistics; public health
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Guest Editor
Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College Public Health, Georgia Southern University, PO Box 7989, Statesboro, GA 30460, USA
Interests: statistical methods in diagnostic accuracy; mathematical modeling in infectious diseases; Bayesian data analysis; machine learning
Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou 510515, China
Interests: infectious diseases; epidemiology; biostatistics; time series; evaluation of public health intervention

Special Issue Information

Dear Colleagues,

Respiratory infectious diseases pose a significant global health burden, accounting for many associated infections and high severity, highlighting the continuous need for effective, proactive, and timely interventions to control or mitigate the spread of diseases. These interventions, through public health and social measures (PHSMs) and vaccination schemes, were found to have clear data-driven capabilities in mitigating respiratory viruses, including influenza, respiratory syncytial virus (RSV), hand-foot-and-mouth disease (HFMD) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

The detailed data on the recent COVID-19 pandemic have raised several research questions at various levels of infectious disease epidemiology and modeling. At the parametric level, it is highlighted with regard to the improvement in the inference of epidemiological parameters and their time-varying characteristics across the outbreak’s span. Such temporal parametric information could allow us to assess the impacts of these PHSMs better and, thus, provide better real-time intervention policies. Furthermore, the epidemiological dynamics and the characteristics of these respiratory viruses would be interesting to assess during the post-COVID-19 pandemic period, accounting for their coexistence and co-circulation.

In this Special Issue, we welcome submissions of studies covering topics including, but not limited to, the epidemiology and transmission dynamics of these respiratory diseases and their control strategies, impact assessments of these interventions, predictions of population immunity, and the dynamics and disease burdens of these respiratory viruses during the pre- and post-COVID-19 pandemic periods. We also welcome original research using qualitative and quantitative data, meta-analyses, or systematic reviews, as well as various types of study including brief research reports, perspectives, general commentaries, methodologies, and policy briefs.

Dr. Sheikh Taslim Ali
Dr. Jing X. Kersey
Dr. Li Li
Guest Editors

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Keywords

  • respiratory diseases
  • epidemiology
  • dynamics
  • prediction
  • mitigation and control
  • public health policy

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Published Papers (6 papers)

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Research

15 pages, 6168 KiB  
Article
Global Trends and Attributable Risk Factors in the Disease Burden of Lower Respiratory Infections
by E Yu and Chunhui Li
Trop. Med. Infect. Dis. 2025, 10(7), 180; https://doi.org/10.3390/tropicalmed10070180 - 26 Jun 2025
Viewed by 309
Abstract
Background: Lower respiratory infections (LRIs) are the leading cause of the global disease burden, accounting for millions of deaths each year. Methods: Data on LRIs, including deaths, disability-adjusted life years (DALYs), and incidence, were obtained from the Global Burden of Disease Study 2021. [...] Read more.
Background: Lower respiratory infections (LRIs) are the leading cause of the global disease burden, accounting for millions of deaths each year. Methods: Data on LRIs, including deaths, disability-adjusted life years (DALYs), and incidence, were obtained from the Global Burden of Disease Study 2021. Joinpoint regression was employed to assess temporal trends in the LRIs’ burden, while the age–period–cohort model was used to evaluate age, period, and cohort effects. Pearson’s correlation coefficients were calculated to examine the relationship between DALYs attributable to risk factors and the socio-demographic index (SDI). Results: Over recent decades, the average annual percentage change in age-standardized mortality rate, age-standardized DALYs rate, and age-standardized incidence rate of LRIs globally were −2.4%, −3.5%, and −1.3%, respectively. Notably, the LRIs’ burden dropped considerably from 2019 to 2021. The disease burden was higher among children under five and individuals over 60 compared to other age groups. In terms of gender, males had a higher burden. The age-standardized DALYs rate of LRIs was strongly and negatively correlated with SDI (r = −0.84; p < 0.05). Streptococcus pneumoniae remained the leading pathogen, followed by Staphylococcus aureus, and Klebsiella pneumoniae. Conclusions: In recent years, the global burden of LRIs has declined, but regional, gender, and age disparities persist. Targeted measures are needed to address high-risk populations and major risk factors. Full article
(This article belongs to the Special Issue Respiratory Infectious Disease Epidemiology and Control)
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18 pages, 797 KiB  
Article
Risk of Incidence and Lethality by Etiology of Severe Acute Respiratory Syndrome in Hospitalized Children Under 1 Year of Age in Brazil in 2024: A Cross-Sectional Study
by Tamires de Nazaré Soares, Natasha Cristina Oliveira Andrade, Suziane do Socorro dos Santos, Marcela Raíssa Asevedo Dergan, Karina Faine Freitas Takeda, Jully Greyce Freitas de Paula Ramalho, Luany Rafaele da Conceição Cruz, Perla Katheleen Valente Corrêa, Marli de Oliveira Almeida, Joyce dos Santos Freitas, Wilker Alves Silva, Marcos Jessé Abrahão Silva, Daniele Melo Sardinha and Luana Nepomuceno Gondim Costa Lima
Trop. Med. Infect. Dis. 2025, 10(6), 168; https://doi.org/10.3390/tropicalmed10060168 - 14 Jun 2025
Viewed by 520
Abstract
Severe Acute Respiratory Syndrome (SARS) represents a significant cause of morbidity and mortality in children under one year of age, a particularly vulnerable population due to immunological and respiratory immaturity. The diverse etiology includes multiple respiratory viruses such as Respiratory Syncytial Virus (RSV), [...] Read more.
Severe Acute Respiratory Syndrome (SARS) represents a significant cause of morbidity and mortality in children under one year of age, a particularly vulnerable population due to immunological and respiratory immaturity. The diverse etiology includes multiple respiratory viruses such as Respiratory Syncytial Virus (RSV), influenza, rhinovirus, and SARS-CoV-2, each with distinct potential to cause severe illness and death. Understanding the specific incidence and lethality by etiological agents in the recent Brazilian context (2024), after the COVID-19 pandemic, is essential to guide surveillance and public health strategies. This study aimed to analyze the risk of incidence and lethality by specific etiology of SARS in children under one year of age hospitalized in Brazil during the year 2024. A descriptive cross-sectional study was performed using secondary data from the 2024 Influenza Epidemiological Surveillance Information System (SIVEP-Gripe), obtained via OpenDataSUS. Reported cases of SARS hospitalized in children <1 year of age in Brazil were included. Distribution by final classification and epidemiological week (EW) was analyzed; the incidence rate by Federative Unit (FU) (cases/100,000 < 1 year) with risk classification (Low/Moderate/High) was assessed; and, for cases with positive viral RT-PCR, the etiological frequency and virus-specific lethality rate (deaths/total cases of etiology ×100), also with risk classification, were extracted. A multivariate logistic regression model was performed for the risk factors of death. A total of 66,170 cases of SARS were reported in children under 1 year old (national incidence: 2663/100,000), with a seasonal peak between April and May. The majority of cases were classified as “SARS due to another respiratory virus” (49.06%) or “unspecified” (37.46%). Among 36,009 cases with positive RT-PCR, RSV (50.06%) and rhinovirus (26.97%) were the most frequent. The overall lethality in RT-PCR-positive cases was 1.28%. Viruses such as parainfluenza 4 (8.57%), influenza B (2.86%), parainfluenza 3 (2.49%), and SARS-CoV-2 (2.47%) had higher lethality. The multivariate model identified parainfluenza 4 (OR = 6.806), chronic kidney disease (OR = 3.820), immunodeficiency (OR = 3.680), Down Syndrome (OR = 3.590), heart disease (OR = 3.129), neurological disease (OR = 2.250), low O2 saturation (OR = 1.758), SARS-CoV-2 (OR = 1.569) and respiratory distress (OR = 1.390) as risk factors for death. Cough (OR = 0.477) and RSV (OR = 0.736) were associated with a lower chance of death. The model had good calibration (Hosmer–Lemeshow p = 0.693) and overall significance (p < 0.001). SARS represented a substantial burden of hospitalizations, with marked seasonal and geographic patterns. RSV and rhinovirus were the main agents responsible for the volume of confirmed cases but had a relatively low to moderate risk of lethality. In contrast, less frequent viruses such as parainfluenza 4, influenza B, parainfluenza 3, and SARS-CoV-2 were associated with a significantly higher risk of death. These findings highlight the importance of dissociating frequency from lethality and reinforce the need to strengthen etiological surveillance, improve diagnosis, and direct preventive strategies (such as immunizations) considering the specific risk of each pathogen for this vulnerable population. Full article
(This article belongs to the Special Issue Respiratory Infectious Disease Epidemiology and Control)
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13 pages, 1041 KiB  
Article
Development and Validation of a New Set of Primers for Identification of Circulating Lineages and Palivizumab/Nirsevimab Resistance in HRSV Isolates from Cabo Verde
by María Paula Reyes-Zuluaga, José Antonio Pérez-Pérez, Wilson Correia, Isabel Inês M. de Pina Araújo and Emma Carmelo
Trop. Med. Infect. Dis. 2025, 10(6), 160; https://doi.org/10.3390/tropicalmed10060160 - 10 Jun 2025
Viewed by 1511
Abstract
In Cabo Verde, Acute Respiratory Infection caused by various pathogens was the most reported condition in children under 5 years old between 2014–2020, and the fourth leading cause of mortality in this age group, with Human Respiratory Syncytial Virus (HRSV) being one of [...] Read more.
In Cabo Verde, Acute Respiratory Infection caused by various pathogens was the most reported condition in children under 5 years old between 2014–2020, and the fourth leading cause of mortality in this age group, with Human Respiratory Syncytial Virus (HRSV) being one of the main etiological agents. However, limited literature on the subject hinders the study of its epidemiology and the evaluation of potential implications for public health. In this work, we developed and validated a primer collection for the amplification and sequencing of the G and F genes of HRSV, using a sequential workflow including conventional and semi-nested PCR, followed by Sanger sequencing. This strategy not only allowed for the identification of HRSV linages but also facilitated the detection of mutants in the HRSV F protein, a critical step towards evaluating and ensuring the continued efficacy of Nirsevimab or Palivizumab as prophylactic therapies. Our analysis revealed the presence of the HRSV lineages A.D.2.2.1, A.D.3, B.D.4.1.1, and B.D.E.1, corresponding to the globally circulating lineages during the study period (years 2019 and 2022). No previously described mutations in the F protein that confer resistance to Palivizumab and Nirsevimab were found. However, continuous monitoring of HRSV genotypes is crucial to promptly identifying resistant viruses, considering their potential impact on public health. Full article
(This article belongs to the Special Issue Respiratory Infectious Disease Epidemiology and Control)
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11 pages, 423 KiB  
Article
Acute Respiratory Viral Infections Among Adult Patients in Edirne, Turkey
by Sebnem Bukavaz, Kultural Gungor, Merve Köle and Galip Ekuklu
Trop. Med. Infect. Dis. 2025, 10(2), 58; https://doi.org/10.3390/tropicalmed10020058 - 19 Feb 2025
Cited by 1 | Viewed by 894
Abstract
Background/Objectives: This study aimed to evaluate the prevalence of viral agents identified by Multiplex PCR in acute respiratory viral infection (ARVI) patients at Edirne Sultan 1, Murat State Hospital, from April 2023 to April 2024, and to investigate the relationship between monthly average [...] Read more.
Background/Objectives: This study aimed to evaluate the prevalence of viral agents identified by Multiplex PCR in acute respiratory viral infection (ARVI) patients at Edirne Sultan 1, Murat State Hospital, from April 2023 to April 2024, and to investigate the relationship between monthly average humidity and viral positivity rates. Methods: The study included 764 adult patients (aged 18 and older) diagnosed with influenza symptoms. Respiratory viral samples were collected and analyzed for COVID-19, influenza A and B, and RSV using Multiplex PCR, with results evaluated retrospectively. Continuous variables in the study were compared using a t-test, and categorical variables were compared with a chi-square test. A logistic regression analysis was performed for the analysis of COVID-19. In this analysis, PCR positivity was the dependent variable, while age, gender, and humidity level served as independent variables. Results: COVID-19 PCR positivity was detected in 142 patients (18.6%), with INF-A (influenza A) in 13 (3.7%), INF-B (influenza B) in 15 (4.2%), and RSV in 2 (0.6%). Higher humidity (over 60%) was associated with reduced viral PCR positivity rates for COVID-19 and influenza B, while low (up to 40%)/normal (40–60%) humidity correlated with positivity rate (p < 0.05 for both). Logistic regression analysis indicated that high humidity levels offer protection against COVID-19 (OR: 0.356; 95% CI: 0.245–0.518). Conclusions: Our study provides essential epidemiological data by summarizing monthly virus distribution in Edirne. Full article
(This article belongs to the Special Issue Respiratory Infectious Disease Epidemiology and Control)
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24 pages, 2048 KiB  
Article
Assessing the Impact of Air Quality and Socioeconomic Conditions on Respiratory Disease Incidence
by Mustfa Faisal Alkhanani
Trop. Med. Infect. Dis. 2025, 10(2), 56; https://doi.org/10.3390/tropicalmed10020056 - 17 Feb 2025
Cited by 2 | Viewed by 1709
Abstract
Background and Objective: Air pollution poses significant risks to global public health and has well-established links to respiratory diseases. This study investigates the associations between air pollution markers—Air Quality Index (AQI), ambient ozone, and nitrogen dioxide (NO2)—and the incidence of chronic [...] Read more.
Background and Objective: Air pollution poses significant risks to global public health and has well-established links to respiratory diseases. This study investigates the associations between air pollution markers—Air Quality Index (AQI), ambient ozone, and nitrogen dioxide (NO2)—and the incidence of chronic obstructive pulmonary disease (COPD), asthma, and tuberculosis. It also examines how socioeconomic factors such as gross domestic product (GDP) per capita, tobacco prevalence, and healthcare expenditure influence these relationships. This study includes data from 27 countries, thereby offering a global perspective to inform public health interventions and policy reforms. Methods: Data on average air pollution levels, respiratory disease incidence, and socioeconomic factors were collected from publicly available sources spanning four years. The 27 countries included in the study were selected to represent a broad range of pollution levels, income brackets, and geographical regions. Statistical analyses were performed using Python 3.12.0 to explore the relationships between these variables. Key Findings: AQI and NO2 levels were significantly associated with increased incidences of COPD and tuberculosis, with rates rising especially during periods of heightened pollution. Conversely, ambient ozone exhibited inconsistent relationships with respiratory diseases, heavily influenced by socioeconomic factors. Higher GDP per capita and healthcare expenditure were linked to improved management of infectious diseases like tuberculosis, though they also corresponded with higher reporting of chronic conditions such as COPD. Tobacco smoking emerged as a critical risk factor for COPD across all regions. Conclusions: This study underscores the strong associations between air pollutants and respiratory diseases, particularly tuberculosis and COPD, with socioeconomic factors significantly influencing these relationships. Reducing air pollution and improving healthcare systems, particularly in low-income regions, are essential to mitigating the global burden of respiratory diseases. Full article
(This article belongs to the Special Issue Respiratory Infectious Disease Epidemiology and Control)
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14 pages, 3089 KiB  
Article
Factors Associated with IgG/IgM Levels after SARS-CoV-2 Vaccination in Patients with Head and Neck Cancer
by Wei Liao, Haoyu Liang, Yujian Liang, Xianlu Gao, Guichan Liao, Shaohang Cai, Lili Liu and Shuwei Chen
Trop. Med. Infect. Dis. 2024, 9(10), 234; https://doi.org/10.3390/tropicalmed9100234 - 8 Oct 2024
Cited by 1 | Viewed by 1620
Abstract
This study evaluated the factors influencing IgG/IgM antibody levels in 120 patients with head and neck cancer (HNC) following vaccination with inactivated SARS-CoV-2 vaccines. Each patient’s demographic and clinical data were documented, and serum IgG and IgM antibodies were detected using a commercial [...] Read more.
This study evaluated the factors influencing IgG/IgM antibody levels in 120 patients with head and neck cancer (HNC) following vaccination with inactivated SARS-CoV-2 vaccines. Each patient’s demographic and clinical data were documented, and serum IgG and IgM antibodies were detected using a commercial magnetic chemiluminescence enzyme immunoassay kit. The results indicated that while all patients had received at least one vaccine dose, 95 tested positive for IgG and 25 were negative. A higher proportion of IgG-positive patients had received three vaccine doses. Comparatively, gamma-glutamyl transferase levels were elevated in IgM-negative patients. The study further differentiated patients based on their treatment status: 46 were treatment-naive and 74 had received chemotherapy combined with immune checkpoint inhibitors (ICT) at enrollment. Despite similar baseline characteristics and time from vaccination to antibody detection, IgM positivity was significantly lower in the ICT group, with no significant difference in IgG positivity between the treatment-naive and ICT groups. A multivariable analysis identified the number of vaccine doses as an independent factor of IgG positivity, while ICT emerged as an independent risk factor for IgM positivity. Additionally, IgG titers generally declined over time, although patients with higher baseline IgG levels maintained higher titers longer. In conclusion, ICT in patients with HNC does not significantly affect IgG levels post-vaccination. However, booster vaccinations have been shown to be associated with higher IgG positivity, although these levels gradually decrease over time. Full article
(This article belongs to the Special Issue Respiratory Infectious Disease Epidemiology and Control)
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