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Incidence rate and predictors of COVID-19 in the two largest cities of Burkina Faso - prospective cohort study in 2021 (ANRS-COV13)

BACKGROUND: Early data on COVID-19 (based primarily on PCR testing) indicated a low burden in Sub-Saharan Africa. To better understand this, this study aimed to estimate the incidence rate and identify predictors of SARS-CoV-2 seroconversion in the two largest cities of Burkina Faso. This study is p...

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Autores principales: Kaboré, Nongodo Firmin, Ouédraogo, Samiratou, Mamguem, Ariane Kamga, Traoré, Isidore Tiandiogo, Kania, Dramane, Badolo, Hermann, Sanou, Guillaume, Koné, Amariane, Yara, Mimbouré, Kagoné, Thérèse, Ouédraogo, Esperance, Konaté, Blahima, Médah, Rachel, de Rekeneire, Nathalie, Poda, Armel, Diendéré, Arnaud Eric, Ouédraogo, Boukary, Billa, Oumar, Paradis, Gilles, Dabakuyo-Yonli, Tienhan Sandrine, Tinto, Halidou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258776/
https://www.ncbi.nlm.nih.gov/pubmed/37308819
http://dx.doi.org/10.1186/s12879-023-08361-2
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author Kaboré, Nongodo Firmin
Ouédraogo, Samiratou
Mamguem, Ariane Kamga
Traoré, Isidore Tiandiogo
Kania, Dramane
Badolo, Hermann
Sanou, Guillaume
Koné, Amariane
Yara, Mimbouré
Kagoné, Thérèse
Ouédraogo, Esperance
Konaté, Blahima
Médah, Rachel
de Rekeneire, Nathalie
Poda, Armel
Diendéré, Arnaud Eric
Ouédraogo, Boukary
Billa, Oumar
Paradis, Gilles
Dabakuyo-Yonli, Tienhan Sandrine
Tinto, Halidou
author_facet Kaboré, Nongodo Firmin
Ouédraogo, Samiratou
Mamguem, Ariane Kamga
Traoré, Isidore Tiandiogo
Kania, Dramane
Badolo, Hermann
Sanou, Guillaume
Koné, Amariane
Yara, Mimbouré
Kagoné, Thérèse
Ouédraogo, Esperance
Konaté, Blahima
Médah, Rachel
de Rekeneire, Nathalie
Poda, Armel
Diendéré, Arnaud Eric
Ouédraogo, Boukary
Billa, Oumar
Paradis, Gilles
Dabakuyo-Yonli, Tienhan Sandrine
Tinto, Halidou
author_sort Kaboré, Nongodo Firmin
collection PubMed
description BACKGROUND: Early data on COVID-19 (based primarily on PCR testing) indicated a low burden in Sub-Saharan Africa. To better understand this, this study aimed to estimate the incidence rate and identify predictors of SARS-CoV-2 seroconversion in the two largest cities of Burkina Faso. This study is part of the EmulCOVID-19 project (ANRS-COV13). METHODS: Our study utilized the WHO Unity protocol for cohort sero-epidemiological studies of COVID-19 in general population. We conducted random sampling stratified by age group and sex. Individuals aged 10 years and older in the cities of Ouagadougou and Bobo-Dioulasso, Burkina Faso were included and surveyed at 4 time points, each 21 days apart, from March 3 to May 15, 2021. WANTAI SARS-CoV-2 Ab ELISA serological tests were used to detect total antibodies (IgM, IgG) in serum. Predictors were investigated using Cox proportional hazards regression. RESULTS: We analyzed the data from 1399 participants (1051 in Ouagadougou, 348 in Bobo-Dioulasso) who were SARS-CoV-2 seronegative at baseline and had at least one follow-up visit. The incidence rate of SARS-CoV-2 seroconversion was 14.3 cases [95%CI 13.3–15.4] per 100 person-weeks. The incidence rate was almost three times higher in Ouagadougou than in Bobo-Dioulasso (Incidence rate ratio: IRR = 2.7 [2.2–3.2], p < 0.001). The highest incidence rate was reported among women aged 19–59 years in Ouagadougou (22.8 cases [19.6–26.4] per 100 person-weeks) and the lowest among participants aged 60 years and over in Bobo-Dioulasso, 6.3 cases [4.6–8.6] per 100 person-weeks. Multivariable analysis showed that participants aged 19 years and older were almost twice as likely to seroconvert during the study period compared with those aged 10 to 18 years (Hazard ratio: HR = 1.7 [1.3–2.3], p < 0.001). Those aged 10–18 years exhibited more asymptomatic forms than those aged 19 years and older, among those who achieved seroconversion (72.9% vs. 40.4%, p < 0.001). CONCLUSION: The spread of COVID-19 is more rapid in adults and in large cities. Strategies to control this pandemic in Burkina Faso, must take this into account. Adults living in large cities should be the priority targets for vaccination efforts against COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08361-2.
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spelling pubmed-102587762023-06-13 Incidence rate and predictors of COVID-19 in the two largest cities of Burkina Faso - prospective cohort study in 2021 (ANRS-COV13) Kaboré, Nongodo Firmin Ouédraogo, Samiratou Mamguem, Ariane Kamga Traoré, Isidore Tiandiogo Kania, Dramane Badolo, Hermann Sanou, Guillaume Koné, Amariane Yara, Mimbouré Kagoné, Thérèse Ouédraogo, Esperance Konaté, Blahima Médah, Rachel de Rekeneire, Nathalie Poda, Armel Diendéré, Arnaud Eric Ouédraogo, Boukary Billa, Oumar Paradis, Gilles Dabakuyo-Yonli, Tienhan Sandrine Tinto, Halidou BMC Infect Dis Research BACKGROUND: Early data on COVID-19 (based primarily on PCR testing) indicated a low burden in Sub-Saharan Africa. To better understand this, this study aimed to estimate the incidence rate and identify predictors of SARS-CoV-2 seroconversion in the two largest cities of Burkina Faso. This study is part of the EmulCOVID-19 project (ANRS-COV13). METHODS: Our study utilized the WHO Unity protocol for cohort sero-epidemiological studies of COVID-19 in general population. We conducted random sampling stratified by age group and sex. Individuals aged 10 years and older in the cities of Ouagadougou and Bobo-Dioulasso, Burkina Faso were included and surveyed at 4 time points, each 21 days apart, from March 3 to May 15, 2021. WANTAI SARS-CoV-2 Ab ELISA serological tests were used to detect total antibodies (IgM, IgG) in serum. Predictors were investigated using Cox proportional hazards regression. RESULTS: We analyzed the data from 1399 participants (1051 in Ouagadougou, 348 in Bobo-Dioulasso) who were SARS-CoV-2 seronegative at baseline and had at least one follow-up visit. The incidence rate of SARS-CoV-2 seroconversion was 14.3 cases [95%CI 13.3–15.4] per 100 person-weeks. The incidence rate was almost three times higher in Ouagadougou than in Bobo-Dioulasso (Incidence rate ratio: IRR = 2.7 [2.2–3.2], p < 0.001). The highest incidence rate was reported among women aged 19–59 years in Ouagadougou (22.8 cases [19.6–26.4] per 100 person-weeks) and the lowest among participants aged 60 years and over in Bobo-Dioulasso, 6.3 cases [4.6–8.6] per 100 person-weeks. Multivariable analysis showed that participants aged 19 years and older were almost twice as likely to seroconvert during the study period compared with those aged 10 to 18 years (Hazard ratio: HR = 1.7 [1.3–2.3], p < 0.001). Those aged 10–18 years exhibited more asymptomatic forms than those aged 19 years and older, among those who achieved seroconversion (72.9% vs. 40.4%, p < 0.001). CONCLUSION: The spread of COVID-19 is more rapid in adults and in large cities. Strategies to control this pandemic in Burkina Faso, must take this into account. Adults living in large cities should be the priority targets for vaccination efforts against COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08361-2. BioMed Central 2023-06-12 /pmc/articles/PMC10258776/ /pubmed/37308819 http://dx.doi.org/10.1186/s12879-023-08361-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kaboré, Nongodo Firmin
Ouédraogo, Samiratou
Mamguem, Ariane Kamga
Traoré, Isidore Tiandiogo
Kania, Dramane
Badolo, Hermann
Sanou, Guillaume
Koné, Amariane
Yara, Mimbouré
Kagoné, Thérèse
Ouédraogo, Esperance
Konaté, Blahima
Médah, Rachel
de Rekeneire, Nathalie
Poda, Armel
Diendéré, Arnaud Eric
Ouédraogo, Boukary
Billa, Oumar
Paradis, Gilles
Dabakuyo-Yonli, Tienhan Sandrine
Tinto, Halidou
Incidence rate and predictors of COVID-19 in the two largest cities of Burkina Faso - prospective cohort study in 2021 (ANRS-COV13)
title Incidence rate and predictors of COVID-19 in the two largest cities of Burkina Faso - prospective cohort study in 2021 (ANRS-COV13)
title_full Incidence rate and predictors of COVID-19 in the two largest cities of Burkina Faso - prospective cohort study in 2021 (ANRS-COV13)
title_fullStr Incidence rate and predictors of COVID-19 in the two largest cities of Burkina Faso - prospective cohort study in 2021 (ANRS-COV13)
title_full_unstemmed Incidence rate and predictors of COVID-19 in the two largest cities of Burkina Faso - prospective cohort study in 2021 (ANRS-COV13)
title_short Incidence rate and predictors of COVID-19 in the two largest cities of Burkina Faso - prospective cohort study in 2021 (ANRS-COV13)
title_sort incidence rate and predictors of covid-19 in the two largest cities of burkina faso - prospective cohort study in 2021 (anrs-cov13)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258776/
https://www.ncbi.nlm.nih.gov/pubmed/37308819
http://dx.doi.org/10.1186/s12879-023-08361-2
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