Next Article in Journal
The Impact of the COVID-19 Pandemic in The Netherlands on Primary Healthcare Use and Clinical Outcomes in Persons with Type 2 Diabetes
Previous Article in Journal
Transmission of COVID-19 in Cities with Weather Conditions of High Air Humidity: Lessons Learned from Turkish Black Sea Region to Face Next Pandemic Crisis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Prevalence of Post COVID-19 Condition among Healthcare Workers: Self-Reported Online Survey in Four African Countries, December 2021–January 2022

by
Hager Elnadi
1,
Ahmad I. Al-Mustapha
1,2,3,*,
Ismail A. Odetokun
4,
AbdulAzeez Adeyemi Anjorin
5,6,
Rasha Mosbah
7,8,
Folorunso O. Fasina
9,10,
Youssef Razouqi
11,
Kwame Sherrif Awiagah
12,
Jean Baptiste Nyandwi
13,14,
Zuhal E. Mhgoob
15,
George Gachara
16,
Mohamed Farah Yusuf Mohamud
17,18,
Bamu F. Damaris
19,
Aala Mohamed Osman Maisara
20 and
Mona Radwan
21
1
Infectious Disease and One Health, Faculty of Pharmaceutical Sciences, Universite de Tours, 37200 Tours, France
2
Department of Veterinary Services, Kwara State Ministry of Agriculture and Rural Development, Ilorin 240001, Nigeria
3
Department of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, 00014 Helsinki, Finland
4
Department of Veterinary Public Health & Preventive Medicine, Faculty of Veterinary Medicine, University of Ilorin, Ilorin 240003, Nigeria
5
Department of Microbiology (Virology Research), Lagos State University, Lagos 102101, Nigeria
6
Africa Center of Excellence for Innovative and Transformative STEM Education, Lagos State University, Lagos 102101, Nigeria
7
Faculty of Oral and Dental Medicine, Ahram Canadian University, Giza Governorate 12451, Egypt
8
Infection Control Unit, Zagazig University, Zagazig 44519, Egypt
9
Food and Agricultural Organization of the United Nations (FAO), I-00100 Rome, Italy
10
Department of Veterinary Tropical Disease, University of Pretoria, Pretoria 0028, South Africa
11
Interdisciplinary Research Laboratory in Biotechnology and Health, Mohammed VI University of Health Sciences, Casablanca 82403, Morocco
12
Training and Research Unit, Korle Bu Teaching Hospital, Accra P.O. Box 77, Ghana
13
Department of Pharmacy, University of Rwanda, Kigali P.O. Box 4285, Rwanda
14
East Africa Community Regional Center of Excellence for Vaccines, Immunization, and Health Supply Chain Management, Kigali P.O. Box 4285, Rwanda
15
Department of Public Health & Infection Control, Aljawda Hospital & El Nileen University Community Development College, Khartoum 11111, Sudan
16
Department of Medical Laboratory Science, Kenyatta University, Nairobi 00609, Kenya
17
Department of Emergency Medicine, Mogadishu Somali Turkish Training and Research Hospital, Mogadishu 2526, Somalia
18
Department of Research, Jazeera University, Mogadishu 00968, Somalia
19
Hannover Medical School, 30625 Hannover, Germany
20
Department of Nephrology and Hemodialysis, International University of Africa, Khartoum 11111, Sudan
21
Department of Public Health, Faculty of Medicine, Zagazig University, Ash Sharqia Governorate 44588, Egypt
*
Author to whom correspondence should be addressed.
COVID 2023, 3(11), 1663-1676; https://doi.org/10.3390/covid3110114
Submission received: 26 August 2023 / Revised: 4 October 2023 / Accepted: 20 October 2023 / Published: 30 October 2023

Abstract

:
The impact of Post COVID-19 Condition (PCC) is ongoing despite the declaration that the 2019 COVID-19 pandemic has ended. In this study, we explore the prevalence of PCC among healthcare workers (HCWs) in four African Countries and its influence on their professional performance. This study was conducted as an online cross-sectional survey of healthcare workers from four African countries (Cameroon, Egypt, Nigeria, and Somalia) between the 20th of December 2021 to 12th of January 2022. We determined the prevalence of PCC based on the WHO case definition and assessed variables associated with a higher prevalence of PCC in these countries using univariable and multivariable logistic regression analyses. A total of 706 HCWs from four African countries were included in this survey. Most of the HCWs were aged between 18–34 years (75.8%, n = 535). Our findings showed that 19.5% (n = 138) of the HCWs had tested positive for SARS-CoV-2. However, 8.4% (n = 59) were symptomatic for COVID-19 but tested negative or were never tested. Two-thirds of the HCWs (66.4%, n = 469) have received a COVID-19 vaccine and 80.6% (n = 378) of those vaccinated had been fully vaccinated. The self-reported awareness rate of PCC among the HCWs was 16.1% (n = 114/706) whereas the awareness rate of PCC among COVID-19-positive HCWs was 55.3% (n = 109/197). The prevalence of PCC among HCWs was 58.8% (n = 116). These changes include the self-reported symptoms of PCC which included headache (58.4%, n = 115), fatigue (58.8%, n = 116), and muscle pain (39.6%, n = 78). Similarly, 30% (n = 59) and 20.8% (n = 41) of the HCWs reported the loss of smell and loss of taste long after their COVID-19 infection, respectively. Some HCWs (42%, n = 83) believed that their work performance has been affected by their ongoing symptoms of PCC. There was no significant difference in the prevalence of PCC among the vaccinated and unvaccinated HCWs (p > 0.05). Of the socio-demographic variables, age (older HCWs between 45–54 years; OR:1.7; 95% CI: 1.06, 10.59; p = 0.001) and location (Egypt; OR:14.57; 95% CI: 2.62, 26.76; p = 0.001) were more likely to have experienced PCC than other age groups and countries respectively. The study revealed a low prevalence of PCC among the surveyed HCWs. In addition, it observed the need for adequate medical and psychological support to HCWs with PCC and improved mass advocacy campaigns on PCC.

1. Introduction

The 2019 coronavirus disease (COVID-19) pandemic resulted in loss of lives as well as severe socio-economic implications. The disease, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) mainly affects the respiratory system and has various clinical presentations, which vary from mild to severe, especially among elderly and immunocompromised patients [1,2]. The accelerated and efficient development, production, distribution, and acceptance of the COVID-19 vaccines have helped to curb the disease spread, reduce hospitalization rates, and reduce the severity of the disease, particularly among infected patients [3]. A combination of several factors such as non-pharmaceutical interventions, vaccines, political decisions, and the attitude of the populace, among other factors have resulted in the reduction of the SARS-CoV-2 transmission and accelerated the return of routine daily life worldwide. The reduced transmission led to the declaration that the pandemic was over on the 5 May 2023 [4].
Although the pandemic is over, several long-term effects of COVID-19 are still being studied. After infection with SARS-CoV-2, most of the ill patients return to their normal health status within days to a few weeks. However, some patients continue to suffer from ongoing, recurrent, or long-term health issues post-infection [5,6]. For instance, some patients were reported to experience a wide range of symptoms such as headache, fatigue, change in taste or smell, irregular menstruation, and mood changes among others, for months, post-infection [7,8].
In October 2021, the WHO announced that symptoms/signs that were previously termed long-term COVID-19, chronic COVID-19, or Post COVID-19 syndrome, should be identified as Post COVID-19 Condition (PCC) [6]. The WHO defined PCC as a history of probable or confirmed SARS-CoV-2 infection, usually 3 months from the onset of COVID-19, with symptoms lasting for at least 2 months that could not be explained by an alternative diagnosis [6]. Despite the identification of these COVID-19 sequelae as PCC by WHO, they lack clear classifications, and several things remain unclear [6]. For instance, the impact of vaccinations on the incidence of PCC requires further studies.
Given the insufficient information about its effects on individuals’ health during the illness, or long after recovery, PCC may have a negative impact not only on the patient’s health but also on their personal and professional life. For instance, PCC has been reported in COVID-19 survivors regardless of their COVID-19 severity (mild or severe), presentation (acute, sub-acute, or chronic), and whether the patient was hospitalized or not [8,9]. Thus, the USA considered PCC a disability under the Americans with Disabilities Act (ADA) since July 2021 [4].
In Sub-Saharan Africa, Healthcare Workers (HCWs) represent some of the frontline staff that are crucial to the primary healthcare system. They are involved with clinical case management and routine immunization activities amongst other duties which include significant roles in improving COVID-19 vaccine uptake [10]. Several systematic reviews and meta-analysis studies have reported a high incidence of COVID-19 among HCWs [11,12,13,14,15,16]. For instance, Gomes-Ochoa et al. [17] reported that 11% (95% CI: 7−15) of HCWs tested positive for COVID-19. In addition, studies such as those of Štěpánek et al. [18] reported that 59.3% of HCWs reported persisting symptoms attributable to PCC. There is a paucity of reliable data about the COVID-19 pandemic and PCC in Africa.
The objective of this study was to assess the prevalence of COVID-19, the COVID-19 vaccination rate, as well as the awareness, symptoms, and prevalence of PCC among HCWs in four selected countries in Sub-Saharan Africa.

2. Materials and Methods

2.1. Ethical Clearance

The ethical clearance for this study was obtained from the Kwara State Ministry of Health, Ilorin, Nigeria with reference number MOH/KS/EHC/777/502 as well as the ethical review board of the Faculty of Human Medicine of the University of Zagazig, Egypt (Reference number: ZU-IRB #9241/2-1-2022). We obtained written informed consent from each respondent after brief information on the purpose of the study was provided to them. To participate in the study, a respondent must tick the consent box in the mobile application (ODK). Participation in this survey was voluntary and without prejudice, as participants could withdraw from the survey at any time.

2.2. Study Participants and Survey Methodology

This study presented the preliminary findings from a larger study that was conducted as a cross-sectional online survey of HCWs across Africa between the 20 December 2021 to 12 January 2022. HCWs include anyone who provides health services and advice based on formal training and experience. Hence, they included physicians, nurses, veterinarians, etc. The questionnaire was designed using Google Forms (Google incorporated) and administered via online social media platforms such as WhatsApp, Facebook, and E-mails. The sample size was calculated using the formula for cross-section surveys: n = (Z1-α/2)2 P (1−P)/d2 where “n” is the calculated sample size for post-COVID condition, “Z1-α/2” is the degree of confidence (1.96), “P” is the expected prevalence of post-COVID condition, and d is the desired absolute precision (0.04). In this study, an expected prevalence of 50% was used. Therefore, n = 600. A contingency of 15% was added to the calculated sample size to address non-response. In this study, a minimum number of 690 respondents were recruited into the survey across African countries. Respondents from four African countries: Cameroon (Central), Egypt (North), Nigeria (West), and Somalia (East) were purposefully selected to participate in the survey. Our inclusion criteria were age (18 years and above) and occupation (healthcare worker). The questionnaire was also distributed among healthcare workers in other African countries. However, countries with less than 100 respondents were excluded from this preliminary analysis.

2.3. Study Variables

This study evaluated four self-reported variables among HCWs in each country. These were: (1). COVID-19 positivity rate, (2). COVID-19 full vaccination rate, (3). awareness of PCC, and (4). prevalence of PCC among HCWs. The COVID-19 positivity rate among HCWs was essential to understanding the prevalence of COVID-19 in HCWs and evaluating the occupational exposure of HCWs in these countries. The second study variable evaluated the vaccination coverage of HCWs in these countries. Although HCWs were designated as priority recipients for the COVID-19 vaccination, acceptance of the vaccine is voluntary. Hence, our interest in the vaccination status of HCWs. The third variable evaluated the awareness of PCC (especially its symptoms and clinical presentation). This is crucial to the diagnosis of PCC among patients. The final study variable evaluated the prevalence of PCC among HCWs. Based on the WHO case definition, a respondent was classified as having PCC if the individual had a history of probable or confirmed SARS-CoV-2 infection, usually 3 months from the onset of COVID-19, with symptoms lasting for at least 2 months that could not be explained by an alternative diagnosis [6]. So, only respondents that fit the four criteria of the WHO case definition of PCC were regarded as having PCC.

2.4. Questionnaire Design

The awareness of PCC among HCWs was assessed using a semi-structured pre-validated questionnaire. The survey instrument was further validated by three independent academic examiners to ascertain the content and face validity of the adapted questionnaire as well as observe for any technical glitches. In addition, the reliability of the survey instrument was assessed using the Cronbach Alpha test (with a score of 0.72) based on 11 purposefully selected questions. Finally, the questionnaire was pre-tested among 10 HCWs from each of the four countries before the deployment of the final version for data collection. The results of the pre-test were not included in the final analysis.
The questionnaire was designed in three of the most common languages in Africa (Arabic, English, and French). The back-to-back translation was validated by two linguists to ensure that the intended meaning of each question was not lost. In each of the translations, the questionnaire was divided into 4 sections: (a). Socio-demographic information on HCWs; (b). history and course of COVID-19 infection; (c). Awareness of PCC among HCWs; (d). Impact on work performance. The form is available here: https://forms.gle/f6NUTDw5HjVZ2VjK9 (Accessed on 14 December 2021).

2.5. Data Analysis

The data obtained from this survey were analyzed using Statistical Package for Social Sciences (SPSS) version 26 (IBM Corp., Armonk, NY, USA). We conducted descriptive statistics and summarized the information as frequency and percentages. Chi-square analysis was used to test for association between the four key study variables (COVID-19 positivity rate, COVID-19 full vaccination rate, awareness of PCC, and the prevalence of PCC) in the four countries. Finally, the significant variables (p-value < 0.05) were entered into a logistic regression model (univariable and multivariable) to determine the association between the socio-demographic variables (age, gender, occupation, and their country of origin) and the outcome variable (prevalence of PCC in HCWs). The odds ratios generated from the multivariable logistic regression analysis were used for all the inferences in this study.

3. Results

3.1. Healthcare Worker Demographics

A total of 713 HCWs filled out the survey instrument out of which 99% (n = 706) gave consent and responded to the questionnaire (Table 1). The distribution from the four African countries was Egypt (n = 281), Nigeria (n = 210), Somalia (n = 111), and Cameroon (n = 104). Most of the HCWs were aged between 18–34 years (75.8%, n = 535). Of the respondents, nurses represented 36.3% (n = 256) and more female respondents were recruited (55.8%, n = 394). Some 60 respondents (8.5%) reported that they had known underlying disease conditions such as hypertension (n = 24/60), Diabetes mellitus (n = 18/60), Asthma (n = 16/60), and autoimmune diseases such as rheumatoid arthritis (n = 7/60).

3.2. COVID-19 Infection among Healthcare Workers

Of the 706 HCWs included in this survey, 19.5% (n = 138/706) tested positive for SARS-CoV-2 by real-time polymerase chain reaction (RT-PCR), rapid diagnostic test (RDT), or reverse transcription loop-mediated isothermal amplification (RT-LAMP). In addition, 8.4% (n = 59/706) of the HCWs were probable COVID-19 cases. During their COVID-19 infection, 22.3% of them had moderate to severe symptoms and were admitted to a health facility (Table 2). Our findings showed that two-thirds of the HCWs (66.4%, n = 469) in these countries have received a COVID-19 vaccine and 80.6% (n = 378) of those vaccinated had received their second dose (fully vaccinated). A quarter of the HCWs (27.5%, n = 38) were tested less than a month before this survey.
The awareness rate of PCC among the general HCWs was 16.1% (n = 114/706) whereas the awareness rate of PCC among COVID-19-positive HCWs was 55.3% (n = 109/197). Based on the WHO case definition, more than half of the COVID-19-positive HCWs (58.8%, n = 116/197) were deemed to have PCC, and one-third (35.5%, n = 70/197) of them noticed changes in their health status due to the PCC. These changes include the symptoms of PCC which included headache (58.4%, n = 115), fatigue (58.8%, n = 116), and muscle pain (39.6%, n = 78). Similarly, 30% (n = 59) of the HCWs reported the loss of smell after their COVID-19 infection and 20.8% (n = 41) of the HCWs experienced the loss of taste long after their COVID-19 infection. Other less frequent COVID-19 symptoms experienced by HCWs in the 4 African countries included rash, pins and needles, and memory problems (Figure 1). Half of the HCWs (53.3%, n = 105) reported that their symptoms of PCC were mostly mild, and only 6.9% of them (n = 14) were admitted due to their PCC or its symptoms (Table 3).

3.3. Work Performance

Only 29.7% (n = 58) of the HCWs who experienced COVID-19 and PCC described their work environment as more stressful. In addition, 42% (n = 83) of them believed that their performance at work has been affected by their PCC. Approximately half of the HCWs (49.3%, n = 97) got tired faster than usual whereas 16.2% of them (n = 32) got more forgetful after their COVID-19 infection (Table 4).

3.4. Post-COVID Condition among African Healthcare Workers

Across the four countries, there were statistically significant differences in the positivity rate of COVID-19 infection among HCWs, their vaccination rates, their awareness of PCC, and the prevalence of PCC among HCWs (Table S2). HCWs in Somalia tested more positive for COVID-19 than HCWs in other countries (p < 0.05). However, more HCWs in Nigeria (73.8%, n = 155) had received full COVID-19 vaccines than in the three other countries (p < 0.05). The highest awareness rate of PCC was in Somalia HCWs where 25.2% of them knew about PCC (Table S2). The prevalence of PCC among COVID-19-positive HCWs was 58.8% (n = 116). However, there were no significant differences in the prevalence of PCC among the vaccinated and un-vaccinated HCWs (p > 0.05).
Of the sociodemographic variables, only nationality significantly impacted the prevalence of PCC among HCWs in Africa. Hence, HCWs in Egypt were more likely (OR:14.57; 95% CI: 2.62, 60.76; p = 0.001) to have experienced PCC than HCWs in the three other countries (Table 5). This is further evident in the fact that 90.7% (n = 49) of the 54 Egyptian HCWs who tested positive for SARS-CoV-2, experienced PCC.

4. Discussion

Globally, HCWs play vital roles as frontline response personnel during the COVID-19 pandemic, especially in emergency responses, public education, and case management. This, however, exposes them to a higher risk of COVID-19. One of the problems associated with the COVID-19 infection is the persistence of symptoms which is generally referred to as “long COVID” or “PCC” [6]. Here, we present the first PCC survey that targeted HCWs across four African countries (Cameroon, Egypt, Nigeria, and Somalia).
Our findings showed that 19.5% of HCWs who participated in this study had confirmed the COVID-19 diagnostic test, while 8.4% had COVID-like symptoms and signs but without a confirmatory test. Therefore, the prevalence of SARS-CoV-2 infection among the HCWs was 27.9% (n = 197) in the aforementioned four African countries. The highest COVID-19 positivity rate was among Somali HCWs (52.1%).
Our results showed a higher prevalence rate than recorded by studies such as those of Galanis et al. [17] and Gómez-Ochoa et al. [18], where they observed the seroprevalence of SARS-CoV-2 in African HCWs around 8.2% and 7–11% in 2021 respectively. However, another study in the same year observed a wider range of prevalence (0–45.1%) of COVID-19 among HCWs in 11 African countries [19]. A recent meta-analysis reported that 10.1% of COVID-19 patients were healthcare workers [20]. The variability in the prevalence rate of COVID-19 among HCWs could be attributed to the sensitivities and specificities of the diagnostic tests used (self-reported vs. serosurveillance), the study design, the wave of the pandemic in each country, the period the samples were taken, and the country-specific contextual differences. For instance, Muller et al. [19] solely relied on rapid antibody diagnostic tests and their results differed between African countries, with 45.1% seroprevalence in Nigeria and 1.3% seropositive prevalence in Egypt by the end of 2021.
Our findings showed that among the 197 HCWs who suffered from COVID-19, 58.8% of them experienced PCC based on the clinical symptoms and the WHO clinical case definition. This PCC prevalence rate is in line with the reports of Osikomaiya et al. [21] who reported a prevalence of 40.9% for PCC among the general populace in Lagos, Nigeria in 2020. In the same vein, a systematic review of 57 studies with more than 250,000 participants by Groff et al. [22], reported a PCC prevalence of 54% among recovered COVID-19 patients in 2021. Also, Taquet et al. [23] reported that the prevalence of PCC in the USA was 57% during the first 6 months after a positive COVID-19 test in the year 2021.
In addition, Hyassat D, et al. [24] reported that 59.3% of the healthcare providers in Jordan reported more than one persisting COVID-19 symptom, and among them, 97.5%, 62.6%, and 40.9% reported more than one COVID-19 symptom at 1–3, 3–6 and 6–12 months, respectively, after the acute phase of the infection. This finding is in consonant with our findings. However, Menges et al. [25] reported a much lower PCC prevalence of 26% within 6 to 8 months in COVID-19-positive patients. The slightly higher prevalence of PCC in older health professionals (45–54 years old) than in other age groups could be attributed to the fact that older persons could have underlying conditions and they usually have more symptomatic COVID-19 than younger age groups [26].
Like other studies across the globe, the most reported symptoms of PCC in this study were fatigue, headache, malaise, headache, myalgia, cough, and loss of smell among other symptoms. These symptoms have been the most common among patients diagnosed with PCC across the globe. For instance, Montenegro et al. [27] and Iwu et al. [28] reported that fatigue, anosmia, headache, and dyspnoea have been the most common complaints among PCC patients. In addition, Osikomaiya et al. [23] observed that 12.8% of patients with PCC in Nigeria had persistent fatigability and another 12.8% had a headache after their discharge from the hospital. In the same vein, fatigue was the most reported symptom among Jordanian HCWs [24]. These results opined that most PCC manifestations were ongoing COVID-19 symptoms.
Our findings showed that a large proportion of the HCWs who participated in this study had no prior knowledge about PCC as only 16.6% of them were aware of PCC. For instance, Somali HCWs had the highest awareness rate (25.2%) than the other three countries whilst HCWs from Cameroon had the least awareness rate of PCC as only 4.8% (n = 5/104) of them were aware of PCC or its symptoms. The differences in the awareness rate of PCC could be due to the differences in the health systems of each country, the HCW training schedule of each country, and the designation of the HCWs. However, the PCC awareness rate was high among COVID-19-positive HCWs as 55.3% of them were aware of PCC.
The COVID-19 vaccination rate was different in the four countries. Study participants from Cameroon had the lowest vaccination rate as only 17.3% of them were vaccinated. These low vaccination rates could be because Cameroon has the lowest national COVID-19 vaccination rates of the four countries (Table S1) [29]. Although our findings showed that HCWs from Nigeria had the highest vaccination rate, Egypt has the highest national COVID-19 vaccination rate with over 71.8 million vaccinations and 41.5% (42.34 million) of its populace fully vaccinated. These results were supported by a previous study in 34 African countries which showed that only 63% of their study participants were willing to accept the COVID-19 vaccine [30].
More longitudinal research is needed to evaluate the impact of vaccinations on the incidence of PCC. Our data showed that the vaccination status had no impact on the prevalence of PCC as there was no significant difference (p > 0.05) in the fully vaccinated, partially vaccinated, and un-vaccinated HCWs. This is contrary to the findings of several studies which reported that COVID-19 vaccines reduced the likelihood of PCC in COVID-19 patients [31]. Also, Al-Aly et al. [32] reported that COVID-19 vaccines reduced the likelihood of PCC in people who had been infected by only about 15% whereas Antonelli et al., reported that two doses of the COVID-19 vaccines halved the risk of PCC [33].
In the same vein, the category of the HCW (dentist, nurses, physicians, laboratory technicians, veterinarians, and others) was not associated with the prevalence of PCC in the four countries.
Besides the clinical manifestations of COVID-19, several studies have reported the psychological burden of the current pandemic on HCWs irrespective of their SARS-CoV-2 infection status [34,35,36,37,38]. While HCWs know that their profession poses a high infection risk, most of them were afraid to transmit the disease to their families [39]. Furthermore, other studies have observed anxiety, stress, exhaustion, and depression, with increasing rates of burnout among HCWs in Africa especially due to the insufficiency of personal protective equipment and the limited number of standardized care facilities in most African countries [39,40,41].
Similar to the findings of these studies, our findings showed that psychological symptoms were experienced by HCWs in the four African countries included in this study. For instance, 12.2%, 8.6%, and 6.1% of the HCWs had anxiety issues, mood changes, and depression respectively. This psychological burden could affect the perceived stress level in HCWs. Previously, Salazar et al. [42], Schwartz et al. [43], and Chew et al. [44] reported that the stress level at health facilities during the pandemic was considered more apparent than pre-pandemic era, with rising levels of burnout syndrome. Conversely, the majority of the HCWs felt the work environment had been either less stressful (44%) or no change in the work stress level (26.3%) during the pandemic compared to the pre-pandemic era, and only 29.7% of the HCWs felt higher stress level after the pandemic at their workplaces.
This general perception among the general HCWs was different from the PCC-affected HCWs, as 42% of the latter felt that because of their PCC, their work performance has been negatively affected. For instance, 49.3% of them got easily fatigued, while others were more stressed (24.9%), and lost their enthusiasm (22.3%). In an international study involving 56 countries, Davis et al. [45] reported that 45.2% of their study participants (n = 3762) required a reduced workload due to ongoing symptoms of PCC. In addition, Twycross, A. [46] opined that the current support scheme for healthcare professionals with PCC in the UK requires immediate review.
Despite the several challenges of each country’s healthcare system, HCWs in this study opined that their respective work institutions provided their affected professionals with appropriate work support when they got back to work as reported by 56.5% of our HCWs that had PCC. Recently, several studies have discussed the importance of modifying the health services settings in Africa to deliver better care for COVID-19 patients and especially for healthcare workers in African countries [39,47,48,49,50,51,52,53]. On a general note, Politics often play a significant role in shaping healthcare systems, policies, and resource allocation [54]. Furthermore, the government’s attitude towards healthcare could significantly affect the awareness of PCC, the vaccination rate, and the impact of PCC on work. Interestingly, several African countries are making remarkable strides in handling PCC in Africa [21]. These strides started with the recognition of PCC, its burdens, as well as its management and control. In addition, Egypt recently established the first clinic dedicated to PCC patients’ care and treatment [55].

Study Limitations

This study has several limitations. Firstly, the sample size is small and the findings should not be generalized for each country. In addition, online, self-reported surveys could be biased and usually skewed toward the younger, urban population with access to the internet. In addition, since the prevalence of PCC was based on self-reports, there was a high likelihood of misclassification, misunderstanding of some questions, and overestimation of the prevalence of PCC, especially in the probable COVID-19 cases. Despite the limitations of our survey methodology (which makes it impossible to generalize for the HCWs in each country), we believe that this study will provide baseline information on PCC among HCWs in Africa.

5. Conclusions

This study presented the COVID-19 positivity rate, vaccination rate, awareness of PCC, and prevalence of PCC among HCWs in four African countries. The COVID-19 positivity rate was high in Nigeria and Somalia. Hence, improved IPC measures such as PPE as well as regular training should be instituted for HCWs in these countries. The very low PCC awareness in HCWs from Cameroon is worrying and the relevant health authorities in Cameroon should provide advocacy campaigns on PCC and its varying implications. Finally, HCWs from Egypt had the highest prevalence of PCC. Hence, adequate medical and psychological support should be provided.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/covid3110114/s1, Table S1: COVID-19 vaccination status in the four African countries as of 6th June 2023 [30]. Table S2: Association between the nationality of HCWs and their COVID-19 positivity, vaccination rate, and awareness of PCC.

Author Contributions

Conceptualization, H.E., A.I.A.-M., R.M., F.O.F., J.B.N., Z.E.M., G.G., M.F.Y.M., B.F.D., A.M.O.M. and M.R.; Formal analysis, H.E. and A.I.A.-M.; Investigation, A.I.A.-M., I.A.O., A.A.A., R.M., K.S.A. and G.G.; Methodology, H.E., A.I.A.-M., I.A.O., A.A.A., R.M., F.O.F., Y.R., K.S.A., G.G., M.F.Y.M., B.F.D. and A.M.O.M.; Software, Y.R., J.B.N., Z.E.M. and M.R.; Validation, H.E., A.A.A. and F.O.F.; Visualization, H.E. and K.S.A.; Writing—original draft, H.E. and A.I.A.-M.; Writing—review & editing, A.I.A.-M., I.A.O., A.A.A., R.M., F.O.F., Y.R., K.S.A., J.B.N., Z.E.M., G.G., M.F.Y.M., B.F.D., A.M.O.M. and M.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The ethical approval for this study was obtained from the ethical review board (ERB) of the Kwara State Ministry of Health, Ilorin, Nigeria (reference number MOH/KS/EHC/777/502) as well as the ERB of the Faculty of Human Medicine of the University of Zagazig, Egypt (Reference number: ZU-IRB #9241/2-1-2022). This study was conducted in accordance with the World Medical Association’s Declaration of Helsinki and written informed consent was obtained from each respondent.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Acknowledgments

We acknowledge Abubakar Musa Imam for reviewing the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Desai, A.D.; Lavelle, M.; Boursiquot, B.C.; Wan, E.Y. Long-term complications of COVID-19. Am. J. Physiol. Cell Physiol. 2022, 322, C1–C11. [Google Scholar] [CrossRef] [PubMed]
  2. WHO Coronavirus (COVID-19) Dashboard. WHO Coronavirus (COVID-19) Dashboard with Vaccination Data. Available online: https://covid19.who.int/ (accessed on 8 March 2022).
  3. Eroglu, B.; Nuwarda, R.F.; Ramzan, I.; Kayser, V. A Narrative Review of COVID-19 Vaccines. Vaccines 2021, 10, 62. [Google Scholar] [CrossRef] [PubMed]
  4. WHO. Coronavirus Disease (COVID-19) Pandemic, World Health Organization. Available online: https://www.who.int/europe/emergencies/situations/covid-19 (accessed on 15 June 2023).
  5. CDC. National Center for Immunization and Respiratory Diseases (NCIRD), Division of Viral Diseases. Available online: https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html (accessed on 22 February 2022).
  6. WHO. A Clinical Case Definition of Post COVID-19 Condition by a Delphi Consensus, 6 October 2021. Available online: https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021 (accessed on 8 December 2021).
  7. Pavli, A.; Theodoridou, M.; Maltezou, H.C. Post-COVID Syndrome: Incidence, Clinical Spectrum, and Challenges for Primary Healthcare Professionals. Arch. Med. Res. 2021, 52, 575–581. [Google Scholar] [CrossRef] [PubMed]
  8. Yong, S.J. Long COVID or post-COVID-19 syndrome: Putative pathophysiology, risk factors, and treatments. Infect. Dis. 2021, 53, 737–754. [Google Scholar] [CrossRef] [PubMed]
  9. Lechner-Scott, J.; Levy, M.; Hawkes, C.; Yeh, A.; Giovannoni, G. Long COVID or post COVID-19 syndrome. Mult. Scler. Relat. Disord. 2021, 55, 103268. [Google Scholar] [CrossRef] [PubMed]
  10. Iheanacho, T.; Stefanovics, E.; Okoro, U.G.; Anyaehie, U.E.; Njoku, P.O.; Adimekwe, A.I. Assessing knowledge, attitude, practice and training related to COVID-19: A cross-sectional survey of frontline healthcare workers in Nigeria. BMJ Open 2021, 11, e050138. [Google Scholar] [CrossRef]
  11. Silva Andrade, B.; Siqueira, S.; de Assis Soares, W.R.; de Souza Rangel, F.; Santos, N.O.; dos Santos Freitas, A. Long-COVID and post-COVID health complications: An up-to-date review on clinical conditions and their possible molecular mechanisms. Viruses 2021, 13, 700. [Google Scholar] [CrossRef]
  12. Chen, C.; Haupert, S.R.; Zimmermann, L.; Shi, X.; Fritsche, L.G.; Mukherjee, B. Global prevalence of post-coronavirus disease 2019 (COVID-19) condition or long COVID: A meta-analysis and systematic review. J. Infect. Dis. 2022, 226, 1593–1607. [Google Scholar] [CrossRef]
  13. Das, K.M.; Lee, E.Y.; Singh, R.; Enani, M.A.; Al Dossari, K.; Van Gorkom, K.; Larsson, S.G.; Langer, R.D. Follow-up chest radiographic findings in patients with MERS-CoV after recovery. Indian. J. Radiol. Imaging 2017, 27, 342–349. [Google Scholar] [CrossRef]
  14. Rogers, J.P.; Chesney, E.; Oliver, D.; Pollak, T.A.; McGuire, P.; Fusar-Poli, P.; Zandi, M.S.; Lewis, G.; David, A.S. Psychiatric and neuropsychiatric presentations associated with severe coronavirus infections: A systematic review and meta-analysis with comparison to the COVID-19 pandemic. Lancet Psychiatry 2020, 7, 611–627. [Google Scholar] [CrossRef]
  15. Zhang, P.; Li, J.; Liu, H.; Han, N.; Ju, J.; Kou, Y.; Chen, L.; Jiang, M.; Pan, F.; Zheng, Y.; et al. Long-term bone and lung consequences associated with hospital-acquired severe acute respiratory syndrome: A 15-year follow-up from a prospective cohort study. Bone Res. 2020, 8, 8. [Google Scholar] [CrossRef] [PubMed]
  16. Galanis, P.; Vraka, I.; Fragkou, D.; Bilali, A.; Kaitelidou, D. Seroprevalence of SARS-CoV-2 antibodies and associated factors in healthcare workers: A systematic review and meta-analysis. J. Hosp. Infect. 2021, 108, 120–134. [Google Scholar] [CrossRef] [PubMed]
  17. Gómez-Ochoa, S.A.; Franco, O.H.; Rojas, L.Z.; Raguindin, P.F.; Roa-Díaz, Z.M.; Wyssmann, B.M. COVID-19 in Health-Care Workers: A Living Systematic Review and Meta-Analysis of Prevalence, Risk Factors, Clinical Characteristics, and Outcomes. Am. J. Epidemiol. 2021, 190, 161–175. [Google Scholar] [CrossRef] [PubMed]
  18. Štěpánek, L.; Nakládalová, M.; Janošíková, M.; Štěpánek, L.; Kabrhelová, K.; Boriková, A. Predictors and characteristics of post-acute COVID-19 syndrome in healthcare workers. Infect. Diseases. 2023, 55, 125–131. [Google Scholar] [CrossRef] [PubMed]
  19. Müller, S.A.; Wood, R.R.; Hanefeld, J.; El-Bcheraoui, C. Seroprevalence and Risk Factors of COVID-19 in Healthcare Workers From Eleven African Countries: A Scoping Review and Appraisal of Existing Evidence. Health Policy Plan. 2022, 37, 505–513. [Google Scholar] [CrossRef]
  20. Sahu, A.K.; Amrithanand, V.T.; Mathew, R.; Aggarwal, P.; Nayer, J.; Bhoi, S. COVID-19 in health care workers—A systematic review and meta-analysis. Am. J. Emerg. Med. 2020, 38, 1727–1731. [Google Scholar] [CrossRef]
  21. Osikomaiya, B.; Erinoso, O.; Wright, K.O.; Odusola, A.O.; Thomas, B.; Adeyemi, O.; Bowale, A.; Adejumo, O.; Falana, A.; Abdus-Salam, I.; et al. “Long COVID”: Persistent COVID-19 symptoms in survivors managed in Lagos State, Nigeria. BMC Infect. Dis. 2021, 21, 304. [Google Scholar] [CrossRef]
  22. Groff, D.; Sun, A.; Ssentongo, A.E.; Ba, D.M.; Parsons, N.; Poudel, G.R.; Lekoubou, A.; Oh, J.S.; Ericson, J.E.; Ssentongo, P.; et al. Short-Term and Long-Term Rates of Postacute Sequelae of SARS-CoV-2 Infection: A Systematic Review. JAMA Netw. Open 2021, 4, e2128568. [Google Scholar] [CrossRef]
  23. Taquet, M.; Dercon, Q.; Luciano, S.; Geddes, J.R.; Husain, M.; Harrison, P.J. Incidence, co-occurrence, and evolution of long-COVID features: A 6-month retrospective cohort study of 273,618 survivors of COVID-19. PLoS Med. 2021, 18, e1003773. [Google Scholar] [CrossRef]
  24. Hyassat, D.; El-Khateeb, M.; Dahbour, A.; Shunnaq, S.; Naji, D.; Ata, E.B.; Abujbara, M.; Khawaja, N.; Batieha, A.; Ajlouni, K. Post-COVID-19 syndrome among healthcare workers in Jordan. East. Mediterr. Health J. 2023, 29, 247–253. [Google Scholar] [CrossRef]
  25. Menges, D.; Ballouz, T.; Anagnostopoulos, A.; Aschmann, H.E.; Domenghino, A.; Fehr, J.S.; Puhan, M.A. Burden of post-COVID-19 syndrome and implications for healthcare service planning: A population-based cohort study. PLoS ONE. 2021, 16, e0254523. [Google Scholar] [CrossRef] [PubMed]
  26. Davies, N.G.; Klepac, P.; Liu, Y.; Prem, K.; Jit, M.; Eggo, R.M. Age-dependent effects in the transmission and control of COVID-19 epidemics. Nat. Med. 2020, 26, 1205–1211. [Google Scholar] [CrossRef] [PubMed]
  27. Montenegro, P.; Moral, I.; Puy, A.; Cordero, E.; Chantada, N.; Cuixart, L.; Brotons, C. Prevalence of Post COVID-19 Condition in Primary Care: A Cross Sectional Study. Int. J. Environ. Res. Public Health 2022, 19, 1836. [Google Scholar] [CrossRef] [PubMed]
  28. Iwu, C.J.; Iwu, C.D.; Wiysonge, C.S. The occurrence of long COVID: A rapid review. Pan Afr. Med. J. 2021, 38, 65. [Google Scholar] [CrossRef] [PubMed]
  29. Mathieu, E.; Ritchie, H.; Ortiz-Ospina, E.; Roser, M.; Hasell, J.; Appel, C. A global database of COVID-19 vaccinations. Nat. Hum. Behav. 2021, 5, 947–953. [Google Scholar] [CrossRef]
  30. Anjorin, A.A.; Odetokun, I.A.; Abioye, A.I.; Elnadi, H.; Umoren, M.V.; Damaris, B.F. Will Africans take COVID-19 vaccination? PLoS ONE 2021, 16, e0260575. [Google Scholar] [CrossRef]
  31. Venkatesan, P. Do vaccines protect from long COVID? Lancet Respir. Med. 2022, 10, e30. [Google Scholar] [CrossRef]
  32. Al-Aly, Z.; Bowe, B.; Xie, Y. Long COVID after breakthrough SARS-CoV-2 infection. Nat. Med. 2022, 28, 1461–1467. [Google Scholar] [CrossRef]
  33. Antonelli, M.; Penfold, R.S.; Merino, J.; Sudre, C.H.; Molteni, E.; Berry, S.; Canas, L.S.; Graham, M.S.; Klaser, K.; Modat, M.; et al. Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: A prospective, community-based, nested, case-control study. Lancet Infect. Dis. 2022, 22, 43–55. [Google Scholar] [CrossRef]
  34. Spoorthy, M.S.; Pratapa, S.K.; Mahant, S. Mental health problems faced by healthcare workers due to the COVID-19 pandemic–A review. Asian J. Psychiatry. 2020, 51, 102119. [Google Scholar] [CrossRef]
  35. Tan, B.Y.; Chew, N.W.; Lee, G.K.; Jing, M.; Goh, Y.; Yeo, L.L.; Zhang, K.; Chin, H.K.; Ahmad, A.; Khan, F.A.; et al. Psychological impact of the COVID-19 pandemic on health care workers in Singapore. Ann. Intern. Med. 2020, 173, 317–320. [Google Scholar] [CrossRef]
  36. Temsah, M.H.; Al-Sohime, F.; Alamro, N.; Al-Eyadhy, A.; Al-Hasan, K.; Jamal, A.; Al-Maglouth, I.; Aljamaan, F.; Al Amri, M.; Barry, M.; et al. The psychological impact of COVID-19 pandemic on health care workers in a MERS-CoV endemic country. J. Infect. Public Health 2020, 13, 877–882. [Google Scholar] [CrossRef]
  37. Vizheh, M.; Qorbani, M.; Arzaghi, S.M.; Muhidin, S.; Javanmard, Z.; Esmaeili, M. The mental health of healthcare workers in the COVID-19 pandemic: A systematic review. J. Diabetes Metab. Disord. 2020, 19, 1967–1978. [Google Scholar] [CrossRef] [PubMed]
  38. Yan, L.; Sun, P.; Wang, M.; Song, T.; Wu, Y.; Luo, J.; Chen, L. The psychological impact of COVID-19 pandemic on health care workers: A systematic review and meta-analysis. Front. Psychol. 2021, 12, 2382. [Google Scholar]
  39. Chersich, M.F.; Gray, G.; Fairlie, L.; Eichbaum, Q.; Mayhew, S.; Allwood, B.; English, R.; Scorgie, F.; Luchters, S.; Simpson, G.; et al. COVID-19 in Africa: Care and protection for frontline healthcare workers. Glob. Health 2020, 16, 46. [Google Scholar] [CrossRef]
  40. Jalili, M.; Niroomand, M.; Hadavand, F.; Zeinali, K.; Fotouhi, A. Burnout among healthcare professionals during COVID-19 pandemic: A cross-sectional study. Int. Arch. Occup. Environ. Health 2021, 94, 1345–1352. [Google Scholar] [CrossRef]
  41. Torrente, M.; Sousa, P.A.; Sánchez-Ramos, A.; Pimentao, J.; Royuela, A.; Franco, F.; Collazo-Lorduy, A.; Menasalvas, E.; Provencio, M. To burn-out or not to burn-out: A cross-sectional study in healthcare professionals in Spain during COVID-19 pandemic. BMJ Open 2021, 11, e044945. [Google Scholar] [CrossRef]
  42. de Pablo, G.S.; Vaquerizo-Serrano, J.; Catalan, A.; Arango, C.; Moreno, C.; Ferre, F.; Shin, J.I.; Sullivan, S.; Brondino, N.; Solmi, M.; et al. Impact of coronavirus syndromes on physical and mental health of health care workers: Systematic review and meta-analysis. J. Affect. Disord. 2020, 275, 48–57. [Google Scholar] [CrossRef] [PubMed]
  43. Schwartz, R.M.; McCann-Pineo, M.; Bellehsen, M.; Singh, V.; Malhotra, P.; Rasul, R.; Corley, S.S.; Jan, S.; Parashar, N.; George, S.; et al. The Impact of Physicians’ COVID-19 Pandemic Occupational Experiences on Mental Health. J. Occup. Environ. Med. 2022, 64, 151–157. [Google Scholar] [CrossRef] [PubMed]
  44. Chew, N.W.S.; Lee, G.K.H.; Tan, B.Y.Q.; Jing, M.; Goh, Y.; Ngiam, N.J.H.; Yeo, L.L.L.; Ahmad, A.; Ahmed Khan, F.; Napolean Shanmugam, G.N.; et al. A multinational, multicentre study on the psychological outcomes and associated physical symptoms amongst healthcare workers during COVID-19 outbreak. Brain Behav. Immun. 2020, 88, 559–565. [Google Scholar] [CrossRef]
  45. Davis, H.E.; Assaf, G.S.; McCorkell, L.; Wei, H.; Low, R.J.; Re’Em, Y.; Redfield, S.; Austin, J.P.; Akrami, A. Characterizing long COVID in an international cohort: 7 months of symptoms and their impact. Eclinicalmedicine 2021, 38, 101019. [Google Scholar] [CrossRef]
  46. Twycross, A. Living with long COVID: Some reflections 14 months down the line. Evid. Based Nurs. 2021, 24, 69–70. [Google Scholar] [CrossRef] [PubMed]
  47. Loewenson, R. COVID-19 in East and Southern Africa: Rebuilding Differently and Better Must Start Now. MEDICC Rev. 2020, 22, 59–60. [Google Scholar] [CrossRef] [PubMed]
  48. Mendelson, M.; Nel, J.; Blumberg, L.; Madhi, S.A.; Dryden, M.; Stevens, W.; Venter, F.W.D. Long-COVID: An evolving problem with an extensive impact. S. Afr. Med. J. 2020, 111, 10–12. [Google Scholar] [CrossRef] [PubMed]
  49. Randremanana, R.; Lazoumar, R.H.; Tejiokem, M.C.; Manirakiza, A.; Bicaba, B.W.; Rajatonirina, S.; Battaglia, S.; Pons, G.; Richard, V. Institut Pasteur International Network’s efforts to guide control measures against the coronavirus disease 2019 (COVID-19) epidemic among healthcare workers in Africa. Int. J. Infect. Dis. 2021, 103, 525–526. [Google Scholar] [CrossRef]
  50. van Kessel, S.A.M.; Hartman, T.C.O.; Lucassen, P.L.B.J.; van Jaarsveld, C.H.M. Post-acute and long-COVID-19 symptoms in patients with mild diseases: A systematic review. Fam. Pract. 2022, 39, 159–167. [Google Scholar] [CrossRef]
  51. Hopman, J.; Allegranzi, B.; Mehtar, S. Managing COVID-19 in Low- and Middle-Income Countries. JAMA 2020, 323, 1549–1550. [Google Scholar] [CrossRef]
  52. Lam, M.H. Mental morbidities and chronic fatigue in severe acute respiratory syndrome survivors: Long-term follow-up. Arch. Intern. Med. 2009, 169, 2142–2147. [Google Scholar] [CrossRef]
  53. Ngai, J.C.; Ko, F.W.; Ng, S.S.; To, K.-W.; Tong, M.; Hui, D.S. The long-term impact of severe acute respiratory syndrome on pulmonary function, exercise capacity and health status. Respirology 2010, 15, 543–550. [Google Scholar] [CrossRef]
  54. Karacic, J.; Bursztajn, H.J.; Arvanitakis, M. Who Cares What the Doctor Feels: The Responsibility of Health Politics for Burnout in the Pandemic. InHealthcare 2021, 9, 1550. [Google Scholar] [CrossRef]
  55. Aiash, H.; Khodor, M.; Shah, J.; Ghozy, S.; Sheble, A.; Hassan, A.; Abbadi, S.; Sabry, K.; Zeid, A.A.; Abdelbary, A. Integrated multidisciplinary post-COVID-19 care in Egypt [published correction appears in Lancet Glob Health. Lancet Glob. Health 2021, 9, e908–e909. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Frequency of PCC symptoms among COVID-19-positive healthcare workers from four African countries, 2022 (n = 197/706).
Figure 1. Frequency of PCC symptoms among COVID-19-positive healthcare workers from four African countries, 2022 (n = 197/706).
Covid 03 00114 g001
Table 1. Demographics of HCWs recruited into this study (n = 706).
Table 1. Demographics of HCWs recruited into this study (n = 706).
VariablesNumber (%)
Nationality
Cameroon104 (14.7)
Egypt281 (39.8)
Nigeria210 (29.8)
Somalia111 (15.7)
Occupation
Dentist38 (5.4)
Nurse256 (36.3)
Physician143 (20.3)
Pharmacist42 (6.1)
Laboratory technician74 (6.7)
Veterinarian79 (11.2)
Others *74 (6.7)
Age
18–24283 (40.1)
25–34252 (35.7)
35–44125 (17.7)
45–5436 (5.1)
>5510 (1.4)
Gender
Female394 (55.8)
Male301 (42.6)
Prefer not to say11 (1.6)
Do you have a known underlying disease?
No646 (91.5)
Yes60 (8.5)
Others *: scientific officers, health information technologists, and clinical medical students who work or study in a health facility.
Table 2. History of COVID-19 infection among healthcare workers recruited into this study.
Table 2. History of COVID-19 infection among healthcare workers recruited into this study.
VariablesNumber (%)
1.
Have you ever been diagnosed with COVID-19? (n = 706)
No 568 (80.5)
Yes138 (19.5)
2.
Have you noticed the symptoms of COVID-19 which were not confirmed (probable cases)? (n = 568)
No509 (72)
Yes59 (8.4)
3.
When was your last COVID-19 test conducted? (n = 127)
<1 month ago38 (27.5)
2–3 months13 (9.4)
3–6 Months20 (14.5)
6–12 months30 (21.7)
12–18 months24 (17.4)
>18 months2 (2.2)
4.
Were you admitted to a health facility during your COVID-19 infection? (n = 197)
No153 (77.7)
Yes44 (22.3)
5.
Have you received any of the approved COVID-19 vaccines? (n = 706)
No237 (33.6)
Yes469 (66.4)
6.
Are you fully vaccinated against COVID-19? (n = 469)
No91 (19.4)
Yes378 (80.6)
Table 3. Structure of PCC among HCWs in four African countries (n = 197).
Table 3. Structure of PCC among HCWs in four African countries (n = 197).
VariableNumber (%)
1.
Are you aware of the term “post-COVID-19 condition”? (n = 706)
No592 (83.9)
Yes114 (16.1)
2.
Have you noticed any changes in your health status after the COVID-19 infection? (n = 197)
No127 (64.5)
Yes70 (35.5)
3.
How would you describe the severity of your PCC? (n = 192)
Mild/moderate 181 (94.3)
Severe10 (5.2)
Very severe1 (0.5)
4.
Have you been admitted to a health facility due to the PCC? (n = 197)
No183 (93.1)
Yes14 (6.9)
5.
Have you received any treatment for your PCC? (n = 197)
No125 (63.4)
Yes72 (36.6)
Table 4. Perception of COVID-19 infection and PCC on work performance among HCWs (n = 197).
Table 4. Perception of COVID-19 infection and PCC on work performance among HCWs (n = 197).
VariableNumber (%)
1.
How would you describe your work environment stress level after experiencing the PCC?
Less stressful87 (44)
The same environmental stress level52 (26.3)
More stressful58 (29.7)
2.
Has your performance at work been affected by your PCC?
No114 (58)
Yes83 (42)
3.
On a scale of 5, how severely has the COVID-19 pandemic affected your work as an HCW?
176 (38.8)
243 (22)
3 47 (24)
423 (11.7)
57 (3.5)
4.
How has the PCC affected your work performance?
I get tired faster now97 (49.3)
I feel less motivated44 (22.3)
I feel more stressed49 (24.9)
I have less tolerability39 (19.8)
I get more forgetful32 (16.2)
5.
Have you received proper support from your workplace?
No63 (43.5)
Yes82 (56.5)
Table 5. Logistic regression analysis of demographic variables that affected the prevalence of PCC among HCWs.
Table 5. Logistic regression analysis of demographic variables that affected the prevalence of PCC among HCWs.
Outcome VariableVariableBaseline Category OR (95% CI)p-ValueOR (95% CI)p-Value
Univariable analysisMultivariable analysis
Prevalence of PCC among HCWsAge (years)18–2425–343.50 (2.17, 5.65)0.0270.47 (0.08, 2.71)<0.001
35–442.27 (1.26, 4.09)0.86 (0.11, 6.52)
45–544.00 (1.78, 9.00)1.70 (1.01, 10.59)
>556.1 (1.61, 22.81)0.34 (0.01, 6.01)
Admission due to COVID-19NoYes1.14 (0.53, 2.47)0.738--
GenderMaleFemale0.89 (0.42, 1.86)0.322--
NationalityCameroonEgypt10.14 (3.00, 34.27)<0.0114.57 (2.62, 26.76)0.002
Nigeria 3.28 (0.92,11.78)3.18 (0.51, 19.78)
Somalia0.78 (0.47, 1.31)0.82 (0.47, 1.48)
OccupationPhysicianNurse2.47 (0.87,6.95)0.051--
Pharmacist3.57 (0.94, 13.44)
Technician1.91 (0.50, 7.23)
Veterinarian0.35 (0.06, 1.83)
Others0.59 (0.14, 2.56)
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Elnadi, H.; Al-Mustapha, A.I.; Odetokun, I.A.; Anjorin, A.A.; Mosbah, R.; Fasina, F.O.; Razouqi, Y.; Awiagah, K.S.; Nyandwi, J.B.; Mhgoob, Z.E.; et al. Prevalence of Post COVID-19 Condition among Healthcare Workers: Self-Reported Online Survey in Four African Countries, December 2021–January 2022. COVID 2023, 3, 1663-1676. https://doi.org/10.3390/covid3110114

AMA Style

Elnadi H, Al-Mustapha AI, Odetokun IA, Anjorin AA, Mosbah R, Fasina FO, Razouqi Y, Awiagah KS, Nyandwi JB, Mhgoob ZE, et al. Prevalence of Post COVID-19 Condition among Healthcare Workers: Self-Reported Online Survey in Four African Countries, December 2021–January 2022. COVID. 2023; 3(11):1663-1676. https://doi.org/10.3390/covid3110114

Chicago/Turabian Style

Elnadi, Hager, Ahmad I. Al-Mustapha, Ismail A. Odetokun, AbdulAzeez Adeyemi Anjorin, Rasha Mosbah, Folorunso O. Fasina, Youssef Razouqi, Kwame Sherrif Awiagah, Jean Baptiste Nyandwi, Zuhal E. Mhgoob, and et al. 2023. "Prevalence of Post COVID-19 Condition among Healthcare Workers: Self-Reported Online Survey in Four African Countries, December 2021–January 2022" COVID 3, no. 11: 1663-1676. https://doi.org/10.3390/covid3110114

APA Style

Elnadi, H., Al-Mustapha, A. I., Odetokun, I. A., Anjorin, A. A., Mosbah, R., Fasina, F. O., Razouqi, Y., Awiagah, K. S., Nyandwi, J. B., Mhgoob, Z. E., Gachara, G., Yusuf Mohamud, M. F., Damaris, B. F., Maisara, A. M. O., & Radwan, M. (2023). Prevalence of Post COVID-19 Condition among Healthcare Workers: Self-Reported Online Survey in Four African Countries, December 2021–January 2022. COVID, 3(11), 1663-1676. https://doi.org/10.3390/covid3110114

Article Metrics

Back to TopTop