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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2023
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.
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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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