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Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia

BACKGROUND: Despite improvements in prevention efforts, childhood diarrhea remains a public health concern. However, there may be substantial variation influenced by place, time, and season. Description of diarrheal clusters in time and space and understanding seasonal patterns can improve surveilla...

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Detalles Bibliográficos
Autores principales: Beyene, Hunachew, Deressa, Wakgari, Kumie, Abera, Grace, Delia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987573/
https://www.ncbi.nlm.nih.gov/pubmed/29991924
http://dx.doi.org/10.1186/s41182-018-0101-1
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author Beyene, Hunachew
Deressa, Wakgari
Kumie, Abera
Grace, Delia
author_facet Beyene, Hunachew
Deressa, Wakgari
Kumie, Abera
Grace, Delia
author_sort Beyene, Hunachew
collection PubMed
description BACKGROUND: Despite improvements in prevention efforts, childhood diarrhea remains a public health concern. However, there may be substantial variation influenced by place, time, and season. Description of diarrheal clusters in time and space and understanding seasonal patterns can improve surveillance and management. The present study investigated the spatial and seasonal distribution and purely spatial, purely temporal, and space-time clusters of childhood diarrhea in Southern Ethiopia. METHODS: The study was a retrospective analysis of data from the Health Management Information System (HMIS) under-five diarrheal morbidity reports from July 2011 to June 2017 in Sidama Zone. Annual diarrhea incidence at district level was calculated. Incidence rate calculation and seasonal trend analysis were performed. The Kulldorff SaTScan software with a discrete Poisson model was used to identify statistically significant special, temporal, and space-time diarrhea clusters. ArcGIS 10.1 was used to plot the maps. RESULTS: A total of 202,406 under-five diarrheal cases with an annual case of 5822 per 100,000 under-five population were reported. An increasing trend of diarrhea incidence was observed over the 6 years with seasonal variation picking between February and May. The highest incidence rate (135.8/1000) was observed in the year 2016/17 in Boricha district. One statistically significant most likely spatial cluster (Boricha district) and six secondary clusters (Malga, Hulla, Aleta Wondo, Shebedino, Loka Abaya, Dale, and Wondogenet) were identified. One statistically significant temporal cluster (LLR = 2109.93, p < 0.001) during December 2013 to May 2015 was observed in all districts. Statistically significant spatiotemporal primary hotspot was observed in December 2012 to January 2015 in Malga district with a likelihood ratio of 1214.67 and a relative risk of 2.03. First, second, third, and fourth secondary hotspots occurred from January 2012 to May 2012 in Loka Abaya, December 2011 in Bursa, from March to April 2014 in Gorchie, and March 2012 in Wonsho districts. CONCLUSION: Childhood diarrhea was not distributed randomly over space and time and showed an overall increasing trend of seasonal variation peaking between February and May. The health department and other stakeholders at various levels need to plan targeted interventional activities at hotspot seasons and areas to reduce morbidity and mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41182-018-0101-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-59875732018-07-10 Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia Beyene, Hunachew Deressa, Wakgari Kumie, Abera Grace, Delia Trop Med Health Research BACKGROUND: Despite improvements in prevention efforts, childhood diarrhea remains a public health concern. However, there may be substantial variation influenced by place, time, and season. Description of diarrheal clusters in time and space and understanding seasonal patterns can improve surveillance and management. The present study investigated the spatial and seasonal distribution and purely spatial, purely temporal, and space-time clusters of childhood diarrhea in Southern Ethiopia. METHODS: The study was a retrospective analysis of data from the Health Management Information System (HMIS) under-five diarrheal morbidity reports from July 2011 to June 2017 in Sidama Zone. Annual diarrhea incidence at district level was calculated. Incidence rate calculation and seasonal trend analysis were performed. The Kulldorff SaTScan software with a discrete Poisson model was used to identify statistically significant special, temporal, and space-time diarrhea clusters. ArcGIS 10.1 was used to plot the maps. RESULTS: A total of 202,406 under-five diarrheal cases with an annual case of 5822 per 100,000 under-five population were reported. An increasing trend of diarrhea incidence was observed over the 6 years with seasonal variation picking between February and May. The highest incidence rate (135.8/1000) was observed in the year 2016/17 in Boricha district. One statistically significant most likely spatial cluster (Boricha district) and six secondary clusters (Malga, Hulla, Aleta Wondo, Shebedino, Loka Abaya, Dale, and Wondogenet) were identified. One statistically significant temporal cluster (LLR = 2109.93, p < 0.001) during December 2013 to May 2015 was observed in all districts. Statistically significant spatiotemporal primary hotspot was observed in December 2012 to January 2015 in Malga district with a likelihood ratio of 1214.67 and a relative risk of 2.03. First, second, third, and fourth secondary hotspots occurred from January 2012 to May 2012 in Loka Abaya, December 2011 in Bursa, from March to April 2014 in Gorchie, and March 2012 in Wonsho districts. CONCLUSION: Childhood diarrhea was not distributed randomly over space and time and showed an overall increasing trend of seasonal variation peaking between February and May. The health department and other stakeholders at various levels need to plan targeted interventional activities at hotspot seasons and areas to reduce morbidity and mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41182-018-0101-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-04 /pmc/articles/PMC5987573/ /pubmed/29991924 http://dx.doi.org/10.1186/s41182-018-0101-1 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research
Beyene, Hunachew
Deressa, Wakgari
Kumie, Abera
Grace, Delia
Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia
title Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia
title_full Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia
title_fullStr Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia
title_full_unstemmed Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia
title_short Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia
title_sort spatial, temporal, and spatiotemporal analysis of under-five diarrhea in southern ethiopia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987573/
https://www.ncbi.nlm.nih.gov/pubmed/29991924
http://dx.doi.org/10.1186/s41182-018-0101-1
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