High seroprevalence of SARS-CoV-2 in Burkina-Faso, Ghana and Madagascar in 2021: a population-based study
Abstract Background The current COVID-19 pandemic affects the entire world population and has serious health, economic and social consequences. Assessing the prevalence of COVID-19 through population-based serological surveys is essential to monitor the progression of the epidemic, especially in Afr...
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BMC
2022-09-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-022-13918-y |
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| author | Nicole S. Struck Eva Lorenz Christina Deschermeier Daniel Eibach Jenny Kettenbeil Wibke Loag Steven A. Brieger Anna M. Ginsbach Christian Obirikorang Oumou Maiga-Ascofare Yaw Adu Sarkodie Eric Ebenezer Amprofi Boham Evans Asamoah Adu Gracelyn Asare Amos Amoako-Adusei Alfred Yawson Alexander Owusu Boakye James Deke Nana Safi Almoustapha Louis Adu-Amoah Ibrahim Kwaku Duah Thierry A. Ouedraogo Valentin Boudo Ben Rushton Christa Ehmen Daniela Fusco Leonard Gunga Dominik Benke Yannick Höppner Zaraniaina Tahiry Rasolojaona Tahinamandranto Rasamoelina Rivo A. Rakotoarivelo Raphael Rakotozandrindrainy Boubacar Coulibaly Ali Sié Anthony Afum-Adjei Awuah John H. Amuasi Aurélia Souares Jürgen May |
| author_facet | Nicole S. Struck Eva Lorenz Christina Deschermeier Daniel Eibach Jenny Kettenbeil Wibke Loag Steven A. Brieger Anna M. Ginsbach Christian Obirikorang Oumou Maiga-Ascofare Yaw Adu Sarkodie Eric Ebenezer Amprofi Boham Evans Asamoah Adu Gracelyn Asare Amos Amoako-Adusei Alfred Yawson Alexander Owusu Boakye James Deke Nana Safi Almoustapha Louis Adu-Amoah Ibrahim Kwaku Duah Thierry A. Ouedraogo Valentin Boudo Ben Rushton Christa Ehmen Daniela Fusco Leonard Gunga Dominik Benke Yannick Höppner Zaraniaina Tahiry Rasolojaona Tahinamandranto Rasamoelina Rivo A. Rakotoarivelo Raphael Rakotozandrindrainy Boubacar Coulibaly Ali Sié Anthony Afum-Adjei Awuah John H. Amuasi Aurélia Souares Jürgen May |
| author_sort | Nicole S. Struck |
| collection | DOAJ |
| description | Abstract Background The current COVID-19 pandemic affects the entire world population and has serious health, economic and social consequences. Assessing the prevalence of COVID-19 through population-based serological surveys is essential to monitor the progression of the epidemic, especially in African countries where the extent of SARS-CoV-2 spread remains unclear. Methods A two-stage cluster population-based SARS-CoV-2 seroprevalence survey was conducted in Bobo-Dioulasso and in Ouagadougou, Burkina Faso, Fianarantsoa, Madagascar and Kumasi, Ghana between February and June 2021. IgG seropositivity was determined in 2,163 households with a specificity improved SARS-CoV-2 Enzyme-linked Immunosorbent Assay. Population seroprevalence was evaluated using a Bayesian logistic regression model that accounted for test performance and age, sex and neighbourhood of the participants. Results Seroprevalence adjusted for test performance and population characteristics were 55.7% [95% Credible Interval (CrI) 49·0; 62·8] in Bobo-Dioulasso, 37·4% [95% CrI 31·3; 43·5] in Ouagadougou, 41·5% [95% CrI 36·5; 47·2] in Fianarantsoa, and 41·2% [95% CrI 34·5; 49·0] in Kumasi. Within the study population, less than 6% of participants performed a test for acute SARS-CoV-2 infection since the onset of the pandemic. Conclusions High exposure to SARS-CoV-2 was found in the surveyed regions albeit below the herd immunity threshold and with a low rate of previous testing for acute infections. Despite the high seroprevalence in our study population, the duration of protection from naturally acquired immunity remains unclear and new virus variants continue to emerge. This highlights the importance of vaccine deployment and continued preventive measures to protect the population at risk. |
| first_indexed | 2024-12-10T14:42:51Z |
| format | Article |
| id | doaj.art-ab0a0a03932f4434b8e49e5bf336070c |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-12-10T14:42:51Z |
| publishDate | 2022-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-ab0a0a03932f4434b8e49e5bf336070c2022-12-22T01:44:39ZengBMCBMC Public Health1471-24582022-09-012211910.1186/s12889-022-13918-yHigh seroprevalence of SARS-CoV-2 in Burkina-Faso, Ghana and Madagascar in 2021: a population-based studyNicole S. Struck0Eva Lorenz1Christina Deschermeier2Daniel Eibach3Jenny Kettenbeil4Wibke Loag5Steven A. Brieger6Anna M. Ginsbach7Christian Obirikorang8Oumou Maiga-Ascofare9Yaw Adu Sarkodie10Eric Ebenezer Amprofi Boham11Evans Asamoah Adu12Gracelyn Asare13Amos Amoako-Adusei14Alfred Yawson15Alexander Owusu Boakye16James Deke17Nana Safi Almoustapha18Louis Adu-Amoah19Ibrahim Kwaku Duah20Thierry A. Ouedraogo21Valentin Boudo22Ben Rushton23Christa Ehmen24Daniela Fusco25Leonard Gunga26Dominik Benke27Yannick Höppner28Zaraniaina Tahiry Rasolojaona29Tahinamandranto Rasamoelina30Rivo A. Rakotoarivelo31Raphael Rakotozandrindrainy32Boubacar Coulibaly33Ali Sié34Anthony Afum-Adjei Awuah35John H. Amuasi36Aurélia Souares37Jürgen May38Infectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineDiagnostics Development Laboratory, Bernhard Nocht Institute for Tropical MedicineInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineUniversity of Sussex Business School, University of SussexInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and TechnologyInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineDepartment of Clinical Microbiology, Kwame Nkrumah University of Science and TechnologyKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and TechnologyKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and TechnologyKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and TechnologyKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and TechnologyDepartment of Community Health, University of GhanaKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and TechnologyKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and TechnologyKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and TechnologyKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and TechnologyKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and TechnologyCentre de Recherche en Santé de NounaCentre de Recherche en Santé de NounaDiagnostics Development Laboratory, Bernhard Nocht Institute for Tropical MedicineDiagnostics Development Laboratory, Bernhard Nocht Institute for Tropical MedicineInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineCentre d’Infectiologie Charles MéreiuxCentre d’Infectiologie Charles MéreiuxUniversity of FianarantsoaUniversity of AntananarivoGerman Center for Infection Research (DZIF), Hamburg-Borstel-Lübeck-RiemsGerman Center for Infection Research (DZIF), Hamburg-Borstel-Lübeck-RiemsKumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and TechnologyInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineGerman Center for Infection Research (DZIF), Hamburg-Borstel-Lübeck-RiemsInfectious Disease Epidemiology, Bernhard Nocht Insitute for Tropical MedicineAbstract Background The current COVID-19 pandemic affects the entire world population and has serious health, economic and social consequences. Assessing the prevalence of COVID-19 through population-based serological surveys is essential to monitor the progression of the epidemic, especially in African countries where the extent of SARS-CoV-2 spread remains unclear. Methods A two-stage cluster population-based SARS-CoV-2 seroprevalence survey was conducted in Bobo-Dioulasso and in Ouagadougou, Burkina Faso, Fianarantsoa, Madagascar and Kumasi, Ghana between February and June 2021. IgG seropositivity was determined in 2,163 households with a specificity improved SARS-CoV-2 Enzyme-linked Immunosorbent Assay. Population seroprevalence was evaluated using a Bayesian logistic regression model that accounted for test performance and age, sex and neighbourhood of the participants. Results Seroprevalence adjusted for test performance and population characteristics were 55.7% [95% Credible Interval (CrI) 49·0; 62·8] in Bobo-Dioulasso, 37·4% [95% CrI 31·3; 43·5] in Ouagadougou, 41·5% [95% CrI 36·5; 47·2] in Fianarantsoa, and 41·2% [95% CrI 34·5; 49·0] in Kumasi. Within the study population, less than 6% of participants performed a test for acute SARS-CoV-2 infection since the onset of the pandemic. Conclusions High exposure to SARS-CoV-2 was found in the surveyed regions albeit below the herd immunity threshold and with a low rate of previous testing for acute infections. Despite the high seroprevalence in our study population, the duration of protection from naturally acquired immunity remains unclear and new virus variants continue to emerge. This highlights the importance of vaccine deployment and continued preventive measures to protect the population at risk.https://doi.org/10.1186/s12889-022-13918-ySARS-CoV-2SeroprevalencePopulation-basedSub-Saharan AfricaBayesian model |
| spellingShingle | Nicole S. Struck Eva Lorenz Christina Deschermeier Daniel Eibach Jenny Kettenbeil Wibke Loag Steven A. Brieger Anna M. Ginsbach Christian Obirikorang Oumou Maiga-Ascofare Yaw Adu Sarkodie Eric Ebenezer Amprofi Boham Evans Asamoah Adu Gracelyn Asare Amos Amoako-Adusei Alfred Yawson Alexander Owusu Boakye James Deke Nana Safi Almoustapha Louis Adu-Amoah Ibrahim Kwaku Duah Thierry A. Ouedraogo Valentin Boudo Ben Rushton Christa Ehmen Daniela Fusco Leonard Gunga Dominik Benke Yannick Höppner Zaraniaina Tahiry Rasolojaona Tahinamandranto Rasamoelina Rivo A. Rakotoarivelo Raphael Rakotozandrindrainy Boubacar Coulibaly Ali Sié Anthony Afum-Adjei Awuah John H. Amuasi Aurélia Souares Jürgen May High seroprevalence of SARS-CoV-2 in Burkina-Faso, Ghana and Madagascar in 2021: a population-based study BMC Public Health SARS-CoV-2 Seroprevalence Population-based Sub-Saharan Africa Bayesian model |
| title | High seroprevalence of SARS-CoV-2 in Burkina-Faso, Ghana and Madagascar in 2021: a population-based study |
| title_full | High seroprevalence of SARS-CoV-2 in Burkina-Faso, Ghana and Madagascar in 2021: a population-based study |
| title_fullStr | High seroprevalence of SARS-CoV-2 in Burkina-Faso, Ghana and Madagascar in 2021: a population-based study |
| title_full_unstemmed | High seroprevalence of SARS-CoV-2 in Burkina-Faso, Ghana and Madagascar in 2021: a population-based study |
| title_short | High seroprevalence of SARS-CoV-2 in Burkina-Faso, Ghana and Madagascar in 2021: a population-based study |
| title_sort | high seroprevalence of sars cov 2 in burkina faso ghana and madagascar in 2021 a population based study |
| topic | SARS-CoV-2 Seroprevalence Population-based Sub-Saharan Africa Bayesian model |
| url | https://doi.org/10.1186/s12889-022-13918-y |
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