Cargando…

Geospatial analysis of cholera patterns in Nigeria: findings from a cross-sectional study

BACKGROUND: Persistence of cholera outbreaks in developing countries calls for concern and more targeted intervention measures for long-term control. This research undertook spatial analysis of cholera incidence in Nigeria over a seventeen-year period to determine the existence of regional hotspots...

Descripción completa

Detalles Bibliográficos
Autores principales: Salubi, Eunice Adeoti, Elliott, Susan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903613/
https://www.ncbi.nlm.nih.gov/pubmed/33622264
http://dx.doi.org/10.1186/s12879-021-05894-2
_version_ 1783654769636671488
author Salubi, Eunice Adeoti
Elliott, Susan J.
author_facet Salubi, Eunice Adeoti
Elliott, Susan J.
author_sort Salubi, Eunice Adeoti
collection PubMed
description BACKGROUND: Persistence of cholera outbreaks in developing countries calls for concern and more targeted intervention measures for long-term control. This research undertook spatial analysis of cholera incidence in Nigeria over a seventeen-year period to determine the existence of regional hotspots and predictors. METHODS: A cross-sectional study design was used for the research. Cholera data for each of the thirty-six states and the federal capital territory (FCT) were obtained from the Nigeria Centre for Disease Control (NCDC) of the Federal Ministry of Health, Nigeria. Socioeconomic data including proportion of households using solid waste disposal (unapproved dumpsite, refuse burying, refuse burning, public dumpsite, and refuse collectors), water sources (pipe borne water, well, borehole, rain water, surface waters and water vendors), sewage disposal (water closet, pit latrines, bucket/pan, public toilet and nearby bush/stream), living in a single room and earning less than minimum wage (18,000 naira) were obtained from National Population Commission. On the other hand, proportion of illiterate adults (15 years and above) and poor people; and population density were obtained from National Bureau of Statistics. Each socioeconomic data was obtained at state level. Cholera patterns were analysed at state level using Global Moran’s I while specific locations of cholera clusters were determined using Local Moran’s I. Stepwise multiple regression was used to determine socioeconomic predictors of cholera incidence. RESULTS: Local Moran’s I revealed significant cluster patterns in 1999, 2001, 2002, 2009 and 2010 in Adamawa, Gombe, Katsina, Bauchi, Borno, Yobe, and Kano states. Households using surface water was the significant predictor (23%) of the observed spatial variations in cholera incidence. CONCLUSIONS: Persistence of cholera outbreaks in some north east and north western states calls for more targeted, long-term and effective intervention measures especially on provision of safe sources of water supply by government and other stakeholders.
format Online
Article
Text
id pubmed-7903613
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-79036132021-03-01 Geospatial analysis of cholera patterns in Nigeria: findings from a cross-sectional study Salubi, Eunice Adeoti Elliott, Susan J. BMC Infect Dis Research Article BACKGROUND: Persistence of cholera outbreaks in developing countries calls for concern and more targeted intervention measures for long-term control. This research undertook spatial analysis of cholera incidence in Nigeria over a seventeen-year period to determine the existence of regional hotspots and predictors. METHODS: A cross-sectional study design was used for the research. Cholera data for each of the thirty-six states and the federal capital territory (FCT) were obtained from the Nigeria Centre for Disease Control (NCDC) of the Federal Ministry of Health, Nigeria. Socioeconomic data including proportion of households using solid waste disposal (unapproved dumpsite, refuse burying, refuse burning, public dumpsite, and refuse collectors), water sources (pipe borne water, well, borehole, rain water, surface waters and water vendors), sewage disposal (water closet, pit latrines, bucket/pan, public toilet and nearby bush/stream), living in a single room and earning less than minimum wage (18,000 naira) were obtained from National Population Commission. On the other hand, proportion of illiterate adults (15 years and above) and poor people; and population density were obtained from National Bureau of Statistics. Each socioeconomic data was obtained at state level. Cholera patterns were analysed at state level using Global Moran’s I while specific locations of cholera clusters were determined using Local Moran’s I. Stepwise multiple regression was used to determine socioeconomic predictors of cholera incidence. RESULTS: Local Moran’s I revealed significant cluster patterns in 1999, 2001, 2002, 2009 and 2010 in Adamawa, Gombe, Katsina, Bauchi, Borno, Yobe, and Kano states. Households using surface water was the significant predictor (23%) of the observed spatial variations in cholera incidence. CONCLUSIONS: Persistence of cholera outbreaks in some north east and north western states calls for more targeted, long-term and effective intervention measures especially on provision of safe sources of water supply by government and other stakeholders. BioMed Central 2021-02-23 /pmc/articles/PMC7903613/ /pubmed/33622264 http://dx.doi.org/10.1186/s12879-021-05894-2 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Salubi, Eunice Adeoti
Elliott, Susan J.
Geospatial analysis of cholera patterns in Nigeria: findings from a cross-sectional study
title Geospatial analysis of cholera patterns in Nigeria: findings from a cross-sectional study
title_full Geospatial analysis of cholera patterns in Nigeria: findings from a cross-sectional study
title_fullStr Geospatial analysis of cholera patterns in Nigeria: findings from a cross-sectional study
title_full_unstemmed Geospatial analysis of cholera patterns in Nigeria: findings from a cross-sectional study
title_short Geospatial analysis of cholera patterns in Nigeria: findings from a cross-sectional study
title_sort geospatial analysis of cholera patterns in nigeria: findings from a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903613/
https://www.ncbi.nlm.nih.gov/pubmed/33622264
http://dx.doi.org/10.1186/s12879-021-05894-2
work_keys_str_mv AT salubieuniceadeoti geospatialanalysisofcholerapatternsinnigeriafindingsfromacrosssectionalstudy
AT elliottsusanj geospatialanalysisofcholerapatternsinnigeriafindingsfromacrosssectionalstudy