Chibwana, Marah ORCID: 0000-0002-8940-3855, Jere, Khuzwayo ORCID: 0000-0003-3376-8529, Kamng'ona, Raphael, Mandolo, Jonathan, Katunga-Phiri, Vincent, Tembo, Dumizulu, Mitole, Ndaona, Musasa, Samantha, Sichone, Simon, Lakudzala, Agness et al (show 13 more authors)
(2020)
High SARS-CoV-2 seroprevalence in health care workers but relatively low numbers of deaths in urban Malawi.
Wellcome Open Research, 5.
p. 199.
Abstract
<h4>Background: </h4> In low-income countries, like Malawi, important public health measures including social distancing or a lockdown have been challenging to implement owing to socioeconomic constraints, leading to predictions that the COVID-19 pandemic would progress rapidly. However, due to limited capacity to test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, there are no reliable estimates of the true burden of infection and death. We, therefore, conducted a SARS-CoV-2 serosurvey amongst health care workers (HCWs) in Blantyre city to estimate the cumulative incidence of SARS-CoV-2 infection in urban Malawi. <h4>Methods: </h4> We recruited 500 otherwise asymptomatic HCWs from Blantyre City (Malawi) from 22 nd May 2020 to 19 th June 2020 and serum samples were collected from all participants. A commercial ELISA was used to measure SARS-CoV-2 IgG antibodies in serum. <h4>Results: </h4> A total of 84 participants tested positive for SARS-CoV-2 antibodies. The HCWs with positive SARS-CoV-2 antibody results came from different parts of the city. The adjusted seroprevalence of SARS-CoV-2 antibodies was 12.3% [CI 8.2 - 16.5]. Using age-stratified infection fatality estimates reported from elsewhere, we found that at the observed adjusted seroprevalence, the number of predicted deaths was eight times the number of reported deaths. <h4>Conclusions: </h4> The high seroprevalence of SARS-CoV-2 antibodies among HCWs and the discrepancy in the predicted versus reported deaths suggests that there was early exposure but slow progression of COVID-19 epidemic in urban Malawi. This highlights the urgent need for development of locally parameterised mathematical models to more accurately predict the trajectory of the epidemic in sub-Saharan Africa for better evidence-based policy decisions and public health response planning.
Item Type: | Article |
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Uncontrolled Keywords: | Infectious Diseases, Lung, Emerging Infectious Diseases, Vaccine Related, Prevention, Pneumonia, Biodefense, Infection, 3 Good Health and Well Being |
Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Infection, Veterinary and Ecological Sciences |
Depositing User: | Symplectic Admin |
Date Deposited: | 25 May 2021 09:56 |
Last Modified: | 12 Apr 2024 03:22 |
DOI: | 10.12688/wellcomeopenres.16188.2 |
Open Access URL: | http://doi.org/10.12688/wellcomeopenres.16188.2 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3123975 |