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Quantifying excess mortality during the COVID-19 pandemic in 2020 in The Gambia: a time-series analysis of three health and demographic surveillance systems
OBJECTIVES: Estimates for COVID-19-related excess mortality for African populations using local data are needed to design and implement effective control policies. METHODS: We applied time-series analysis using data from three health and demographic surveillance systems in The Gambia (Basse, Farafen...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780021/ https://www.ncbi.nlm.nih.gov/pubmed/36566776 http://dx.doi.org/10.1016/j.ijid.2022.12.017 |
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author | Mohammed, Nuredin I. Mackenzie, Grant Ezeani, Esu Sidibeh, Mamadi Jammeh, Lamin Sarwar, Golam Saine, Aji Kumba Folawiyo Sonko, Bakary Gomez, Pierre Dondeh, Bai Lamin Hossain, M. Jahangir Jasseh, Momodou Usuf, Effua Prentice, Andrew M. Jeffries, David Dalessandro, Umberto Roca, Anna |
author_facet | Mohammed, Nuredin I. Mackenzie, Grant Ezeani, Esu Sidibeh, Mamadi Jammeh, Lamin Sarwar, Golam Saine, Aji Kumba Folawiyo Sonko, Bakary Gomez, Pierre Dondeh, Bai Lamin Hossain, M. Jahangir Jasseh, Momodou Usuf, Effua Prentice, Andrew M. Jeffries, David Dalessandro, Umberto Roca, Anna |
author_sort | Mohammed, Nuredin I. |
collection | PubMed |
description | OBJECTIVES: Estimates for COVID-19-related excess mortality for African populations using local data are needed to design and implement effective control policies. METHODS: We applied time-series analysis using data from three health and demographic surveillance systems in The Gambia (Basse, Farafenni, and Keneba) to examine pandemic-related excess mortality during 2020, when the first SARS-CoV-2 wave was observed, compared to the pre-pandemic period (2016-2019). RESULTS: Across the three sites, average mortality during the pre-pandemic period and the total deaths during 2020 were 1512 and 1634, respectively (Basse: 1099 vs 1179, Farafenni: 316 vs 351, Keneba: 98 vs 104). The overall annual crude mortality rates per 100,000 (95% CI) were 589 (559, 619) and 599 (571, 629) for the pre-pandemic and 2020 periods, respectively. The adjusted excess mortality rate was 8.8 (-34.3, 67.6) per 100,000 person-month with the adjusted rate ratio (aRR) = 1.01 (0.94,1.11). The age-stratified analysis showed excess mortality in Basse for infants (aRR = 1.22 [1.04, 1.46]) and in Farafenni for the 65+ years age group (aRR = 1.19 [1, 1.44]). CONCLUSION: We did not find significant excess overall mortality in 2020 in The Gambia. However, some age groups may have been at risk of excess death. Public health response in countries with weak health systems needs to consider vulnerable age groups and the potential for collateral damage. |
format | Online Article Text |
id | pubmed-9780021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97800212022-12-23 Quantifying excess mortality during the COVID-19 pandemic in 2020 in The Gambia: a time-series analysis of three health and demographic surveillance systems Mohammed, Nuredin I. Mackenzie, Grant Ezeani, Esu Sidibeh, Mamadi Jammeh, Lamin Sarwar, Golam Saine, Aji Kumba Folawiyo Sonko, Bakary Gomez, Pierre Dondeh, Bai Lamin Hossain, M. Jahangir Jasseh, Momodou Usuf, Effua Prentice, Andrew M. Jeffries, David Dalessandro, Umberto Roca, Anna Int J Infect Dis Article OBJECTIVES: Estimates for COVID-19-related excess mortality for African populations using local data are needed to design and implement effective control policies. METHODS: We applied time-series analysis using data from three health and demographic surveillance systems in The Gambia (Basse, Farafenni, and Keneba) to examine pandemic-related excess mortality during 2020, when the first SARS-CoV-2 wave was observed, compared to the pre-pandemic period (2016-2019). RESULTS: Across the three sites, average mortality during the pre-pandemic period and the total deaths during 2020 were 1512 and 1634, respectively (Basse: 1099 vs 1179, Farafenni: 316 vs 351, Keneba: 98 vs 104). The overall annual crude mortality rates per 100,000 (95% CI) were 589 (559, 619) and 599 (571, 629) for the pre-pandemic and 2020 periods, respectively. The adjusted excess mortality rate was 8.8 (-34.3, 67.6) per 100,000 person-month with the adjusted rate ratio (aRR) = 1.01 (0.94,1.11). The age-stratified analysis showed excess mortality in Basse for infants (aRR = 1.22 [1.04, 1.46]) and in Farafenni for the 65+ years age group (aRR = 1.19 [1, 1.44]). CONCLUSION: We did not find significant excess overall mortality in 2020 in The Gambia. However, some age groups may have been at risk of excess death. Public health response in countries with weak health systems needs to consider vulnerable age groups and the potential for collateral damage. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2023-03 2022-12-23 /pmc/articles/PMC9780021/ /pubmed/36566776 http://dx.doi.org/10.1016/j.ijid.2022.12.017 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Mohammed, Nuredin I. Mackenzie, Grant Ezeani, Esu Sidibeh, Mamadi Jammeh, Lamin Sarwar, Golam Saine, Aji Kumba Folawiyo Sonko, Bakary Gomez, Pierre Dondeh, Bai Lamin Hossain, M. Jahangir Jasseh, Momodou Usuf, Effua Prentice, Andrew M. Jeffries, David Dalessandro, Umberto Roca, Anna Quantifying excess mortality during the COVID-19 pandemic in 2020 in The Gambia: a time-series analysis of three health and demographic surveillance systems |
title | Quantifying excess mortality during the COVID-19 pandemic in 2020 in The Gambia: a time-series analysis of three health and demographic surveillance systems |
title_full | Quantifying excess mortality during the COVID-19 pandemic in 2020 in The Gambia: a time-series analysis of three health and demographic surveillance systems |
title_fullStr | Quantifying excess mortality during the COVID-19 pandemic in 2020 in The Gambia: a time-series analysis of three health and demographic surveillance systems |
title_full_unstemmed | Quantifying excess mortality during the COVID-19 pandemic in 2020 in The Gambia: a time-series analysis of three health and demographic surveillance systems |
title_short | Quantifying excess mortality during the COVID-19 pandemic in 2020 in The Gambia: a time-series analysis of three health and demographic surveillance systems |
title_sort | quantifying excess mortality during the covid-19 pandemic in 2020 in the gambia: a time-series analysis of three health and demographic surveillance systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780021/ https://www.ncbi.nlm.nih.gov/pubmed/36566776 http://dx.doi.org/10.1016/j.ijid.2022.12.017 |
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