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Spatial factors for COVID-19 associated community deaths in an urban area of Lusaka, Zambia: an observational study
We retrospectively analyzed spatial factors for coronavirus disease 2019 (COVID-19)-associated community deaths i.e., brought-in-dead (BID) in Lusaka, Zambia, between March and July 2020. A total of 127 cases of BID with geocoordinate data of their houses were identified during the study period. Med...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The African Field Epidemiology Network
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403767/ https://www.ncbi.nlm.nih.gov/pubmed/37545603 http://dx.doi.org/10.11604/pamj.2023.45.32.37069 |
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author | Hamukale, Amos Imamura, Tadatsugu Kapina, Muzala Borkovska, Olena Musuka, Chisenga Abel Tembo, Emmanuel Xie, Yingtao Tedesco, Carmen Zulu, Paul Msanzya Sakubita, Patrick Kapaya, Fred Hamoonga, Raymond Mazaba, Mazyanga Lucy Nagata, Chie Ishiguro, Akira Kapata, Nathan Mukonka, Victor Sinyange, Nyambe |
author_facet | Hamukale, Amos Imamura, Tadatsugu Kapina, Muzala Borkovska, Olena Musuka, Chisenga Abel Tembo, Emmanuel Xie, Yingtao Tedesco, Carmen Zulu, Paul Msanzya Sakubita, Patrick Kapaya, Fred Hamoonga, Raymond Mazaba, Mazyanga Lucy Nagata, Chie Ishiguro, Akira Kapata, Nathan Mukonka, Victor Sinyange, Nyambe |
author_sort | Hamukale, Amos |
collection | PubMed |
description | We retrospectively analyzed spatial factors for coronavirus disease 2019 (COVID-19)-associated community deaths i.e., brought-in-dead (BID) in Lusaka, Zambia, between March and July 2020. A total of 127 cases of BID with geocoordinate data of their houses were identified during the study period. Median interquartile range (IQR) of the age of these cases was 49 (34-70) years old, and 47 cases (37.0%) were elderly individuals over 60 years old. Seventy-five cases (75%) of BID were identified in July 2020, when the total number of cases and deaths was largest in Zambia. Among those whose information regarding their underlying medical condition was available, hypertension was most common (22.9%, 8/35). Among Lusaka’s 94 townships, the numbers (median, IQR) of cases were significantly larger in those characterized as unplanned residential areas compared to planned areas (1.0, 0.0-4.0 vs 0.0, 0.0-1.0; p=0.030). The proportion of individuals who require more than 30 minutes to obtain water was correlated with a larger number of BID cases per 105 population in each township (rho=0.28, p=0.006). The number of BID cases was larger in unplanned residential areas, which highlighted the importance of targeted public health interventions specifically to those areas to reduce the total number of COVID-19 associated community deaths in Lusaka. Brought-in-dead surveillance might be beneficial in monitoring epidemic conditions of COVID-19 in such high-risk areas. Furthermore, inadequate access to water, sanitation, and hygiene (WASH) might be associated with such distinct geographical distributions of COVID-19 associated community deaths in Lusaka, Zambia. |
format | Online Article Text |
id | pubmed-10403767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The African Field Epidemiology Network |
record_format | MEDLINE/PubMed |
spelling | pubmed-104037672023-08-06 Spatial factors for COVID-19 associated community deaths in an urban area of Lusaka, Zambia: an observational study Hamukale, Amos Imamura, Tadatsugu Kapina, Muzala Borkovska, Olena Musuka, Chisenga Abel Tembo, Emmanuel Xie, Yingtao Tedesco, Carmen Zulu, Paul Msanzya Sakubita, Patrick Kapaya, Fred Hamoonga, Raymond Mazaba, Mazyanga Lucy Nagata, Chie Ishiguro, Akira Kapata, Nathan Mukonka, Victor Sinyange, Nyambe Pan Afr Med J Short Communication We retrospectively analyzed spatial factors for coronavirus disease 2019 (COVID-19)-associated community deaths i.e., brought-in-dead (BID) in Lusaka, Zambia, between March and July 2020. A total of 127 cases of BID with geocoordinate data of their houses were identified during the study period. Median interquartile range (IQR) of the age of these cases was 49 (34-70) years old, and 47 cases (37.0%) were elderly individuals over 60 years old. Seventy-five cases (75%) of BID were identified in July 2020, when the total number of cases and deaths was largest in Zambia. Among those whose information regarding their underlying medical condition was available, hypertension was most common (22.9%, 8/35). Among Lusaka’s 94 townships, the numbers (median, IQR) of cases were significantly larger in those characterized as unplanned residential areas compared to planned areas (1.0, 0.0-4.0 vs 0.0, 0.0-1.0; p=0.030). The proportion of individuals who require more than 30 minutes to obtain water was correlated with a larger number of BID cases per 105 population in each township (rho=0.28, p=0.006). The number of BID cases was larger in unplanned residential areas, which highlighted the importance of targeted public health interventions specifically to those areas to reduce the total number of COVID-19 associated community deaths in Lusaka. Brought-in-dead surveillance might be beneficial in monitoring epidemic conditions of COVID-19 in such high-risk areas. Furthermore, inadequate access to water, sanitation, and hygiene (WASH) might be associated with such distinct geographical distributions of COVID-19 associated community deaths in Lusaka, Zambia. The African Field Epidemiology Network 2023-05-15 /pmc/articles/PMC10403767/ /pubmed/37545603 http://dx.doi.org/10.11604/pamj.2023.45.32.37069 Text en Copyright: Amos Hamukale et al. https://creativecommons.org/licenses/by/4.0/The Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Short Communication Hamukale, Amos Imamura, Tadatsugu Kapina, Muzala Borkovska, Olena Musuka, Chisenga Abel Tembo, Emmanuel Xie, Yingtao Tedesco, Carmen Zulu, Paul Msanzya Sakubita, Patrick Kapaya, Fred Hamoonga, Raymond Mazaba, Mazyanga Lucy Nagata, Chie Ishiguro, Akira Kapata, Nathan Mukonka, Victor Sinyange, Nyambe Spatial factors for COVID-19 associated community deaths in an urban area of Lusaka, Zambia: an observational study |
title | Spatial factors for COVID-19 associated community deaths in an urban area of Lusaka, Zambia: an observational study |
title_full | Spatial factors for COVID-19 associated community deaths in an urban area of Lusaka, Zambia: an observational study |
title_fullStr | Spatial factors for COVID-19 associated community deaths in an urban area of Lusaka, Zambia: an observational study |
title_full_unstemmed | Spatial factors for COVID-19 associated community deaths in an urban area of Lusaka, Zambia: an observational study |
title_short | Spatial factors for COVID-19 associated community deaths in an urban area of Lusaka, Zambia: an observational study |
title_sort | spatial factors for covid-19 associated community deaths in an urban area of lusaka, zambia: an observational study |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403767/ https://www.ncbi.nlm.nih.gov/pubmed/37545603 http://dx.doi.org/10.11604/pamj.2023.45.32.37069 |
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