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Open Access 01-12-2023 | COVID-19 | Research

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

Authors: Nongodo Firmin Kaboré, Samiratou Ouédraogo, Ariane Kamga Mamguem, Isidore Tiandiogo Traoré, Dramane Kania, Hermann Badolo, Guillaume Sanou, Amariane Koné, Mimbouré Yara, Thérèse Kagoné, Esperance Ouédraogo, Blahima Konaté, Rachel Médah, Nathalie de Rekeneire, Armel Poda, Arnaud Eric Diendéré, Boukary Ouédraogo, Oumar Billa, Gilles Paradis, Tienhan Sandrine Dabakuyo-Yonli, Halidou Tinto

Published in: BMC Infectious Diseases | Issue 1/2023

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Abstract

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.
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Literature
1.
go back to reference Akande OW, Akande TM. COVID-19 pandemic: a global health burden. Niger Postgrad Med J sept. 2020;27(3):147–55.CrossRef Akande OW, Akande TM. COVID-19 pandemic: a global health burden. Niger Postgrad Med J sept. 2020;27(3):147–55.CrossRef
2.
go back to reference Gebru AA, Birhanu T, Wendimu E, Ayalew AF, Mulat S, Abasimel HZ, et al. Global burden of COVID-19: situational analyis and review. Hum Antibodies. 2021;29(2):139–48.CrossRefPubMed Gebru AA, Birhanu T, Wendimu E, Ayalew AF, Mulat S, Abasimel HZ, et al. Global burden of COVID-19: situational analyis and review. Hum Antibodies. 2021;29(2):139–48.CrossRefPubMed
3.
go back to reference Wamai RG, Hirsch JL, Van Damme W, Alnwick D, Bailey RC, Hodgins S et al. What Could Explain the Lower COVID-19 Burden in Africa despite Considerable Circulation of the SARS-CoV-2 Virus? Int J Environ Res Public Health. 16 août 2021;18(16):8638. Wamai RG, Hirsch JL, Van Damme W, Alnwick D, Bailey RC, Hodgins S et al. What Could Explain the Lower COVID-19 Burden in Africa despite Considerable Circulation of the SARS-CoV-2 Virus? Int J Environ Res Public Health. 16 août 2021;18(16):8638.
4.
go back to reference Lone SA, Ahmad A. COVID-19 pandemic – an african perspective. Emerg Microbes Infect 1 janv. 2020;9(1):1300–8.CrossRef Lone SA, Ahmad A. COVID-19 pandemic – an african perspective. Emerg Microbes Infect 1 janv. 2020;9(1):1300–8.CrossRef
5.
go back to reference PACES J, STRIZOVA Z. COVID-19 and the Immune System. Physiol Res 29 mai. 2020;69(3):379–88.CrossRef PACES J, STRIZOVA Z. COVID-19 and the Immune System. Physiol Res 29 mai. 2020;69(3):379–88.CrossRef
6.
go back to reference Yan L, Liu P, pan, Li X gui, Zhou S, jing, Li H, Wang Z et al. yin,. Neutralizing Antibodies and Cellular Immune Responses Against SARS-CoV-2 Sustained One and a Half Years After Natural Infection. Front Microbiol. 3 mars 2022;12:803031. Yan L, Liu P, pan, Li X gui, Zhou S, jing, Li H, Wang Z et al. yin,. Neutralizing Antibodies and Cellular Immune Responses Against SARS-CoV-2 Sustained One and a Half Years After Natural Infection. Front Microbiol. 3 mars 2022;12:803031.
7.
go back to reference Mancuso P, Venturelli F, Vicentini M, Perilli C, Larosa E, Bisaccia E, et al. Temporal profile and determinants of viral shedding and of viral clearance confirmation on nasopharyngeal swabs from SARS-CoV-2-positive subjects: a population-based prospective cohort study in Reggio Emilia, Italy. BMJ Open 1 août. 2020;10(8):e040380.CrossRef Mancuso P, Venturelli F, Vicentini M, Perilli C, Larosa E, Bisaccia E, et al. Temporal profile and determinants of viral shedding and of viral clearance confirmation on nasopharyngeal swabs from SARS-CoV-2-positive subjects: a population-based prospective cohort study in Reggio Emilia, Italy. BMJ Open 1 août. 2020;10(8):e040380.CrossRef
8.
go back to reference Carmo A, Pereira-Vaz J, Mota V, Mendes A, Morais C, da Silva AC, et al. Clearance and persistence of SARS-CoV-2 RNA in patients with COVID-19. J Med Virol. 2020;92(10):2227–31.CrossRefPubMedPubMedCentral Carmo A, Pereira-Vaz J, Mota V, Mendes A, Morais C, da Silva AC, et al. Clearance and persistence of SARS-CoV-2 RNA in patients with COVID-19. J Med Virol. 2020;92(10):2227–31.CrossRefPubMedPubMedCentral
9.
go back to reference Bobrovitz N, Arora RK, Cao C, Boucher E, Liu M, Donnici C, et al. Global seroprevalence of SARS-CoV-2 antibodies: a systematic review and meta-analysis. PLOS ONE 23 juin. 2021;16(6):e0252617.CrossRef Bobrovitz N, Arora RK, Cao C, Boucher E, Liu M, Donnici C, et al. Global seroprevalence of SARS-CoV-2 antibodies: a systematic review and meta-analysis. PLOS ONE 23 juin. 2021;16(6):e0252617.CrossRef
11.
go back to reference Traoré IT, Ouedraogo S, Kania D, Kaboré FN, Konaté B, Médah R, et al. COVID-19 epidemiological, sociological and anthropological investigation: study protocol for a multidisciplinary mixed methods research in Burkina Faso. BMC Infect Dis. sept 2021;3(1):896. Traoré IT, Ouedraogo S, Kania D, Kaboré FN, Konaté B, Médah R, et al. COVID-19 epidemiological, sociological and anthropological investigation: study protocol for a multidisciplinary mixed methods research in Burkina Faso. BMC Infect Dis. sept 2021;3(1):896.
14.
go back to reference White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med. 2011;30(4):377–99.CrossRefPubMed White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med. 2011;30(4):377–99.CrossRefPubMed
16.
go back to reference Katz MH, Hauck WW. Proportional hazards (Cox) regression. J Gen Intern Med déc. 1993;8(12):702–11.CrossRef Katz MH, Hauck WW. Proportional hazards (Cox) regression. J Gen Intern Med déc. 1993;8(12):702–11.CrossRef
17.
go back to reference Daily cases and deaths by date reported to WHO. https://covid19.who.int/data. [cité 3 juin 2022]. Disponible sur: https://covid19.who.int/WHO-COVID-19-global-data.csv. Daily cases and deaths by date reported to WHO. https://​covid19.​who.​int/​data. [cité 3 juin 2022]. Disponible sur: https://​covid19.​who.​int/​WHO-COVID-19-global-data.​csv.​
18.
go back to reference Sagna T, OUEDRAOGO H, Zouré AA, Zida S, Compaore TR, Kambiré D, et al. Le laboratoire et la pandémie COVID Burkina Le Laboratoire à l’épreuve de la pandémie de la COVID-19 au Burkina Faso: Quels défis pour la régularité de l’offre de diagnostic the COVID-19 pandemic-proof laboratory in Burkina Faso: what challenges for the regularity of the diagnostic? 31 janv. 2021;16:32–7. Sagna T, OUEDRAOGO H, Zouré AA, Zida S, Compaore TR, Kambiré D, et al. Le laboratoire et la pandémie COVID Burkina Le Laboratoire à l’épreuve de la pandémie de la COVID-19 au Burkina Faso: Quels défis pour la régularité de l’offre de diagnostic the COVID-19 pandemic-proof laboratory in Burkina Faso: what challenges for the regularity of the diagnostic? 31 janv. 2021;16:32–7.
19.
go back to reference Gao W, Lv J, Pang Y, Li LM. Role of asymptomatic and pre-symptomatic infections in covid-19 pandemic. BMJ 2 déc. 2021;375:n2342.CrossRef Gao W, Lv J, Pang Y, Li LM. Role of asymptomatic and pre-symptomatic infections in covid-19 pandemic. BMJ 2 déc. 2021;375:n2342.CrossRef
20.
go back to reference You Y, Yang X, Hung D, Yang Q, Wu T, Deng M. Asymptomatic COVID-19 infection: diagnosis, transmission, population characteristics. BMJ Support Palliat Care. 30 juill 2021;bmjspcare-2020-002813. You Y, Yang X, Hung D, Yang Q, Wu T, Deng M. Asymptomatic COVID-19 infection: diagnosis, transmission, population characteristics. BMJ Support Palliat Care. 30 juill 2021;bmjspcare-2020-002813.
21.
go back to reference Olatunji OS, Ayandele O, Ashirudeen D, Olaniru OS. Infodemic” in a pandemic: COVID-19 conspiracy theories in an african country. Soc Health Behav 10 janv. 2020;3(4):152.CrossRef Olatunji OS, Ayandele O, Ashirudeen D, Olaniru OS. Infodemic” in a pandemic: COVID-19 conspiracy theories in an african country. Soc Health Behav 10 janv. 2020;3(4):152.CrossRef
22.
go back to reference Oyekan AO. Conspiracy theories and pandemic management in Africa: critical reflections on contexts, contradictions and challenges. Acta Acad. 2021;53(2):38–59.CrossRef Oyekan AO. Conspiracy theories and pandemic management in Africa: critical reflections on contexts, contradictions and challenges. Acta Acad. 2021;53(2):38–59.CrossRef
23.
go back to reference Mansour S, Al Kindi A, Al-Said A, Al-Said A, Atkinson P. Sociodemographic determinants of COVID-19 incidence rates in Oman: geospatial modelling using multiscale geographically weighted regression (MGWR). Sustain Cities Soc 1 févr. 2021;65:102627.CrossRef Mansour S, Al Kindi A, Al-Said A, Al-Said A, Atkinson P. Sociodemographic determinants of COVID-19 incidence rates in Oman: geospatial modelling using multiscale geographically weighted regression (MGWR). Sustain Cities Soc 1 févr. 2021;65:102627.CrossRef
24.
go back to reference Hamidi S, Sabouri S, Ewing R. Does Density aggravate the COVID-19 pandemic? J Am Plann Assoc 1 oct. 2020;86(4):495–509.CrossRef Hamidi S, Sabouri S, Ewing R. Does Density aggravate the COVID-19 pandemic? J Am Plann Assoc 1 oct. 2020;86(4):495–509.CrossRef
25.
go back to reference Cohen C, Kleynhans J, von Gottberg A, McMorrow ML, Wolter N, Bhiman JN, et al. SARS-CoV-2 incidence, transmission, and reinfection in a rural and an urban setting: results of the PHIRST-C cohort study, South Africa, 2020–21. Lancet Infect Dis 1 juin. 2022;22(6):821–34.CrossRef Cohen C, Kleynhans J, von Gottberg A, McMorrow ML, Wolter N, Bhiman JN, et al. SARS-CoV-2 incidence, transmission, and reinfection in a rural and an urban setting: results of the PHIRST-C cohort study, South Africa, 2020–21. Lancet Infect Dis 1 juin. 2022;22(6):821–34.CrossRef
26.
go back to reference Gudina EK, Ali S, Girma E, Gize A, Tegene B, Hundie GB, et al. Seroepidemiology and model-based prediction of SARS-CoV-2 in Ethiopia: longitudinal cohort study among front-line hospital workers and communities. Lancet Glob Health 1 nov. 2021;9(11):e1517–27.CrossRef Gudina EK, Ali S, Girma E, Gize A, Tegene B, Hundie GB, et al. Seroepidemiology and model-based prediction of SARS-CoV-2 in Ethiopia: longitudinal cohort study among front-line hospital workers and communities. Lancet Glob Health 1 nov. 2021;9(11):e1517–27.CrossRef
27.
go back to reference Liu X, Huang J, Li C, Zhao Y, Wang D, Huang Z, et al. The role of seasonality in the spread of COVID-19 pandemic. Environ Res avr. 2021;195:110874.CrossRef Liu X, Huang J, Li C, Zhao Y, Wang D, Huang Z, et al. The role of seasonality in the spread of COVID-19 pandemic. Environ Res avr. 2021;195:110874.CrossRef
28.
go back to reference Kaplin A, Junker C, Kumar A, Ribeiro MA, Yu E, Wang M, et al. Evidence and magnitude of the effects of meteorological changes on SARS-CoV-2 transmission. PLoS ONE. 2021;16(2):e0246167.CrossRefPubMedPubMedCentral Kaplin A, Junker C, Kumar A, Ribeiro MA, Yu E, Wang M, et al. Evidence and magnitude of the effects of meteorological changes on SARS-CoV-2 transmission. PLoS ONE. 2021;16(2):e0246167.CrossRefPubMedPubMedCentral
29.
go back to reference Alsohime F, Temsah MH, Al-Nemri AM, Somily AM, Al-Subaie S. COVID-19 infection prevalence in pediatric population: etiology, clinical presentation, and outcome. J Infect Public Health déc. 2020;13(12):1791–6.CrossRef Alsohime F, Temsah MH, Al-Nemri AM, Somily AM, Al-Subaie S. COVID-19 infection prevalence in pediatric population: etiology, clinical presentation, and outcome. J Infect Public Health déc. 2020;13(12):1791–6.CrossRef
30.
go back to reference Nikolopoulou GB, Maltezou HC. COVID-19 in children: where do we stand? Arch Med Res janv. 2022;53(1):1–8.CrossRef Nikolopoulou GB, Maltezou HC. COVID-19 in children: where do we stand? Arch Med Res janv. 2022;53(1):1–8.CrossRef
31.
go back to reference Levin AT, Hanage WP, Owusu-Boaitey N, Cochran KB, Walsh SP, Meyerowitz-Katz G. Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications. Eur J Epidemiol. 2020;35(12):1123–38.CrossRefPubMedPubMedCentral Levin AT, Hanage WP, Owusu-Boaitey N, Cochran KB, Walsh SP, Meyerowitz-Katz G. Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications. Eur J Epidemiol. 2020;35(12):1123–38.CrossRefPubMedPubMedCentral
32.
go back to reference Simeni Njonnou SR, Noumedem Anangmo NC, Kemta Lekpa F, Noukeu Njinkui D, Enyama D, Ngongang Ouankou C et al. The COVID-19 prevalence among children: hypotheses for low infection rate and few severe forms among this Age Group in Sub-Saharan Africa. Interdiscip Perspect Infect Dis 12 oct 2021;2021:e4258414. Simeni Njonnou SR, Noumedem Anangmo NC, Kemta Lekpa F, Noukeu Njinkui D, Enyama D, Ngongang Ouankou C et al. The COVID-19 prevalence among children: hypotheses for low infection rate and few severe forms among this Age Group in Sub-Saharan Africa. Interdiscip Perspect Infect Dis 12 oct 2021;2021:e4258414.
33.
go back to reference Zar HJ, Dawa J, Fischer GB, Castro-Rodriguez JA. Challenges of COVID-19 in children in low- and middle-income countries. Paediatr Respir Rev sept. 2020;35:70–4. Zar HJ, Dawa J, Fischer GB, Castro-Rodriguez JA. Challenges of COVID-19 in children in low- and middle-income countries. Paediatr Respir Rev sept. 2020;35:70–4.
34.
go back to reference Waterfield T, Watson C, Moore R, Ferris K, Tonry C, Watt A, et al. Seroprevalence of SARS-CoV-2 antibodies in children: a prospective multicentre cohort study. Arch Dis Child 1 juill. 2021;106(7):680–6.CrossRef Waterfield T, Watson C, Moore R, Ferris K, Tonry C, Watt A, et al. Seroprevalence of SARS-CoV-2 antibodies in children: a prospective multicentre cohort study. Arch Dis Child 1 juill. 2021;106(7):680–6.CrossRef
35.
go back to reference Levorson RE, Christian E, Hunter B, Sayal J, Sun J, Bruce SA, et al. A cross-sectional investigation of SARS-CoV-2 seroprevalence and associated risk factors in children and adolescents in the United States. PLOS ONE 8 nov. 2021;16(11):e0259823.CrossRef Levorson RE, Christian E, Hunter B, Sayal J, Sun J, Bruce SA, et al. A cross-sectional investigation of SARS-CoV-2 seroprevalence and associated risk factors in children and adolescents in the United States. PLOS ONE 8 nov. 2021;16(11):e0259823.CrossRef
Metadata
Title
Incidence rate and predictors of COVID-19 in the two largest cities of Burkina Faso - prospective cohort study in 2021 (ANRS-COV13)
Authors
Nongodo Firmin Kaboré
Samiratou Ouédraogo
Ariane Kamga Mamguem
Isidore Tiandiogo Traoré
Dramane Kania
Hermann Badolo
Guillaume Sanou
Amariane Koné
Mimbouré Yara
Thérèse Kagoné
Esperance Ouédraogo
Blahima Konaté
Rachel Médah
Nathalie de Rekeneire
Armel Poda
Arnaud Eric Diendéré
Boukary Ouédraogo
Oumar Billa
Gilles Paradis
Tienhan Sandrine Dabakuyo-Yonli
Halidou Tinto
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2023
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-023-08361-2

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