Cargando…
Seroprevalence and risk factors of SARS-CoV-2 infection in an urban informal settlement in Nairobi, Kenya, December 2020
Introduction: Urban informal settlements may be disproportionately affected by the COVID-19 pandemic due to overcrowding and other socioeconomic challenges that make adoption and implementation of public health mitigation measures difficult. We conducted a seroprevalence survey in the Kibera informa...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065925/ https://www.ncbi.nlm.nih.gov/pubmed/35528961 http://dx.doi.org/10.12688/f1000research.72914.2 |
_version_ | 1784699695700901888 |
---|---|
author | Munywoki, Patrick K Nasimiyu, Caroline Alando, Moshe Dayan Otieno, Nancy Ombok, Cynthia Njoroge, Ruth Kikwai, Gilbert Odhiambo,, Dennis Osita, Mike Powel Ouma, Alice Odour, Clifford Juma, Bonventure Ochieng, Caroline A Mutisya, Immaculate Ngere, Isaac Dawa, Jeanette Osoro, Eric Njenga, M Kariuki Bigogo, Godfrey Munyua, Peninah Lo, Terrence Q Hunsperger, Elizabeth Herman-Roloff, Amy |
author_facet | Munywoki, Patrick K Nasimiyu, Caroline Alando, Moshe Dayan Otieno, Nancy Ombok, Cynthia Njoroge, Ruth Kikwai, Gilbert Odhiambo,, Dennis Osita, Mike Powel Ouma, Alice Odour, Clifford Juma, Bonventure Ochieng, Caroline A Mutisya, Immaculate Ngere, Isaac Dawa, Jeanette Osoro, Eric Njenga, M Kariuki Bigogo, Godfrey Munyua, Peninah Lo, Terrence Q Hunsperger, Elizabeth Herman-Roloff, Amy |
author_sort | Munywoki, Patrick K |
collection | PubMed |
description | Introduction: Urban informal settlements may be disproportionately affected by the COVID-19 pandemic due to overcrowding and other socioeconomic challenges that make adoption and implementation of public health mitigation measures difficult. We conducted a seroprevalence survey in the Kibera informal settlement, Nairobi, Kenya, to determine the extent of SARS-CoV-2 infection. Methods: Members of randomly selected households from an existing population-based infectious disease surveillance (PBIDS) provided blood specimens between 27 (th) November and 5 (th) December 2020. The specimens were tested for antibodies to the SARS-CoV-2 spike protein. Seroprevalence estimates were weighted by age and sex distribution of the PBIDS population and accounted for household clustering. Multivariable logistic regression was used to identify risk factors for individual seropositivity. Results: Consent was obtained from 523 individuals in 175 households, yielding 511 serum specimens that were tested. The overall weighted seroprevalence was 43.3% (95% CI, 37.4 – 49.5%) and did not vary by sex. Of the sampled households, 122(69.7%) had at least one seropositive individual. The individual seroprevalence increased by age from 7.6% (95% CI, 2.4 – 21.3%) among children (<5 years), 32.7% (95% CI, 22.9 – 44.4%) among children 5 – 9 years, 41.8% (95% CI, 33.0 – 51.1%) for those 10-19 years, and 54.9%(46.2 – 63.3%) for adults (≥20 years). Relative to those from medium-sized households (3 and 4 individuals), participants from large (≥5 persons) households had significantly increased odds of being seropositive, aOR, 1.98(95% CI, 1.17 – 1.58), while those from small-sized households (≤2 individuals) had increased odds but not statistically significant, aOR, 2.31 (95% CI, 0.93 – 5.74). Conclusion: In densely populated urban settings, close to half of the individuals had an infection to SARS-CoV-2 after eight months of the COVID-19 pandemic in Kenya. This highlights the importance to prioritize mitigation measures, including COVID-19 vaccine distribution, in the crowded, low socioeconomic settings. |
format | Online Article Text |
id | pubmed-9065925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-90659252022-05-06 Seroprevalence and risk factors of SARS-CoV-2 infection in an urban informal settlement in Nairobi, Kenya, December 2020 Munywoki, Patrick K Nasimiyu, Caroline Alando, Moshe Dayan Otieno, Nancy Ombok, Cynthia Njoroge, Ruth Kikwai, Gilbert Odhiambo,, Dennis Osita, Mike Powel Ouma, Alice Odour, Clifford Juma, Bonventure Ochieng, Caroline A Mutisya, Immaculate Ngere, Isaac Dawa, Jeanette Osoro, Eric Njenga, M Kariuki Bigogo, Godfrey Munyua, Peninah Lo, Terrence Q Hunsperger, Elizabeth Herman-Roloff, Amy F1000Res Research Article Introduction: Urban informal settlements may be disproportionately affected by the COVID-19 pandemic due to overcrowding and other socioeconomic challenges that make adoption and implementation of public health mitigation measures difficult. We conducted a seroprevalence survey in the Kibera informal settlement, Nairobi, Kenya, to determine the extent of SARS-CoV-2 infection. Methods: Members of randomly selected households from an existing population-based infectious disease surveillance (PBIDS) provided blood specimens between 27 (th) November and 5 (th) December 2020. The specimens were tested for antibodies to the SARS-CoV-2 spike protein. Seroprevalence estimates were weighted by age and sex distribution of the PBIDS population and accounted for household clustering. Multivariable logistic regression was used to identify risk factors for individual seropositivity. Results: Consent was obtained from 523 individuals in 175 households, yielding 511 serum specimens that were tested. The overall weighted seroprevalence was 43.3% (95% CI, 37.4 – 49.5%) and did not vary by sex. Of the sampled households, 122(69.7%) had at least one seropositive individual. The individual seroprevalence increased by age from 7.6% (95% CI, 2.4 – 21.3%) among children (<5 years), 32.7% (95% CI, 22.9 – 44.4%) among children 5 – 9 years, 41.8% (95% CI, 33.0 – 51.1%) for those 10-19 years, and 54.9%(46.2 – 63.3%) for adults (≥20 years). Relative to those from medium-sized households (3 and 4 individuals), participants from large (≥5 persons) households had significantly increased odds of being seropositive, aOR, 1.98(95% CI, 1.17 – 1.58), while those from small-sized households (≤2 individuals) had increased odds but not statistically significant, aOR, 2.31 (95% CI, 0.93 – 5.74). Conclusion: In densely populated urban settings, close to half of the individuals had an infection to SARS-CoV-2 after eight months of the COVID-19 pandemic in Kenya. This highlights the importance to prioritize mitigation measures, including COVID-19 vaccine distribution, in the crowded, low socioeconomic settings. F1000 Research Limited 2022-04-11 /pmc/articles/PMC9065925/ /pubmed/35528961 http://dx.doi.org/10.12688/f1000research.72914.2 Text en Copyright: © 2022 Munywoki PK et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Munywoki, Patrick K Nasimiyu, Caroline Alando, Moshe Dayan Otieno, Nancy Ombok, Cynthia Njoroge, Ruth Kikwai, Gilbert Odhiambo,, Dennis Osita, Mike Powel Ouma, Alice Odour, Clifford Juma, Bonventure Ochieng, Caroline A Mutisya, Immaculate Ngere, Isaac Dawa, Jeanette Osoro, Eric Njenga, M Kariuki Bigogo, Godfrey Munyua, Peninah Lo, Terrence Q Hunsperger, Elizabeth Herman-Roloff, Amy Seroprevalence and risk factors of SARS-CoV-2 infection in an urban informal settlement in Nairobi, Kenya, December 2020 |
title | Seroprevalence and risk factors of SARS-CoV-2 infection in an urban informal settlement in Nairobi, Kenya, December 2020 |
title_full | Seroprevalence and risk factors of SARS-CoV-2 infection in an urban informal settlement in Nairobi, Kenya, December 2020 |
title_fullStr | Seroprevalence and risk factors of SARS-CoV-2 infection in an urban informal settlement in Nairobi, Kenya, December 2020 |
title_full_unstemmed | Seroprevalence and risk factors of SARS-CoV-2 infection in an urban informal settlement in Nairobi, Kenya, December 2020 |
title_short | Seroprevalence and risk factors of SARS-CoV-2 infection in an urban informal settlement in Nairobi, Kenya, December 2020 |
title_sort | seroprevalence and risk factors of sars-cov-2 infection in an urban informal settlement in nairobi, kenya, december 2020 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065925/ https://www.ncbi.nlm.nih.gov/pubmed/35528961 http://dx.doi.org/10.12688/f1000research.72914.2 |
work_keys_str_mv | AT munywokipatrickk seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT nasimiyucaroline seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT alandomoshedayan seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT otienonancy seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT ombokcynthia seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT njorogeruth seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT kikwaigilbert seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT odhiambodennis seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT ositamikepowel seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT oumaalice seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT odourclifford seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT jumabonventure seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT ochiengcarolinea seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT mutisyaimmaculate seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT ngereisaac seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT dawajeanette seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT osoroeric seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT njengamkariuki seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT bigogogodfrey seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT munyuapeninah seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT loterrenceq seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT hunspergerelizabeth seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 AT hermanroloffamy seroprevalenceandriskfactorsofsarscov2infectioninanurbaninformalsettlementinnairobikenyadecember2020 |