Cargando…

Childhood Diarrhea Exhibits Spatiotemporal Variation in Northwest Ethiopia: A SaTScan Spatial Statistical Analysis

BACKGROUND: Childhood diarrhea continues to be a public health problem in developing countries, including Ethiopia. Detecting clusters and trends of childhood diarrhea is important to designing effective interventions. Therefore, this study aimed to investigate spatiotemporal clustering and seasonal...

Descripción completa

Detalles Bibliográficos
Autores principales: Azage, Muluken, Kumie, Abera, Worku, Alemayehu, Bagtzoglou, Amvrossios C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4687002/
https://www.ncbi.nlm.nih.gov/pubmed/26690058
http://dx.doi.org/10.1371/journal.pone.0144690
_version_ 1782406544785145856
author Azage, Muluken
Kumie, Abera
Worku, Alemayehu
Bagtzoglou, Amvrossios C.
author_facet Azage, Muluken
Kumie, Abera
Worku, Alemayehu
Bagtzoglou, Amvrossios C.
author_sort Azage, Muluken
collection PubMed
description BACKGROUND: Childhood diarrhea continues to be a public health problem in developing countries, including Ethiopia. Detecting clusters and trends of childhood diarrhea is important to designing effective interventions. Therefore, this study aimed to investigate spatiotemporal clustering and seasonal variability of childhood diarrhea in northwest Ethiopia. METHODS: Retrospective record review of childhood diarrhea was conducted using quarterly reported data to the district health office for the seven years period beginning July 1, 2007. Thirty three districts were included and geo-coded in this study. Spatial, temporal and space-time scan spatial statistics were employed to identify clusters of childhood diarrhea. Smoothing using a moving average was applied to visualize the trends and seasonal pattern of childhood diarrhea. Statistical analyses were performed using Excel(®) and SaTScan programs. The maps were plotted using ArcGIS 10.0. RESULTS: Childhood diarrhea in northwest Ethiopia exhibits statistical evidence of spatial, temporal, and spatiotemporal clustering, with seasonal patterns and decreasing temporal trends observed in the study area. A most likely purely spatial cluster was found in the East Gojjam administrative zone of Gozamin district (LLR = 7123.89, p <0.001). The most likely spatiotemporal cluster was detected in all districts of East Gojjam zone and a few districts of the West Gojjam zone (LLR = 24929.90, p<0.001), appearing from July 1, 2009 to June 30, 2011. One high risk period from July 1, 2008 to June 30, 2010 (LLR = 9655.86, p = 0.001) was observed in all districts. Peak childhood diarrhea cases showed a seasonal trend, occurring more frequently from January to March and April to June. CONCLUSION: Childhood diarrhea did not occur at random. It has spatiotemporal variation and seasonal patterns with a decreasing temporal trend. Accounting for the spatiotemporal variation identified in the study areas is advised for the prevention and control of diarrhea.
format Online
Article
Text
id pubmed-4687002
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-46870022016-01-07 Childhood Diarrhea Exhibits Spatiotemporal Variation in Northwest Ethiopia: A SaTScan Spatial Statistical Analysis Azage, Muluken Kumie, Abera Worku, Alemayehu Bagtzoglou, Amvrossios C. PLoS One Research Article BACKGROUND: Childhood diarrhea continues to be a public health problem in developing countries, including Ethiopia. Detecting clusters and trends of childhood diarrhea is important to designing effective interventions. Therefore, this study aimed to investigate spatiotemporal clustering and seasonal variability of childhood diarrhea in northwest Ethiopia. METHODS: Retrospective record review of childhood diarrhea was conducted using quarterly reported data to the district health office for the seven years period beginning July 1, 2007. Thirty three districts were included and geo-coded in this study. Spatial, temporal and space-time scan spatial statistics were employed to identify clusters of childhood diarrhea. Smoothing using a moving average was applied to visualize the trends and seasonal pattern of childhood diarrhea. Statistical analyses were performed using Excel(®) and SaTScan programs. The maps were plotted using ArcGIS 10.0. RESULTS: Childhood diarrhea in northwest Ethiopia exhibits statistical evidence of spatial, temporal, and spatiotemporal clustering, with seasonal patterns and decreasing temporal trends observed in the study area. A most likely purely spatial cluster was found in the East Gojjam administrative zone of Gozamin district (LLR = 7123.89, p <0.001). The most likely spatiotemporal cluster was detected in all districts of East Gojjam zone and a few districts of the West Gojjam zone (LLR = 24929.90, p<0.001), appearing from July 1, 2009 to June 30, 2011. One high risk period from July 1, 2008 to June 30, 2010 (LLR = 9655.86, p = 0.001) was observed in all districts. Peak childhood diarrhea cases showed a seasonal trend, occurring more frequently from January to March and April to June. CONCLUSION: Childhood diarrhea did not occur at random. It has spatiotemporal variation and seasonal patterns with a decreasing temporal trend. Accounting for the spatiotemporal variation identified in the study areas is advised for the prevention and control of diarrhea. Public Library of Science 2015-12-21 /pmc/articles/PMC4687002/ /pubmed/26690058 http://dx.doi.org/10.1371/journal.pone.0144690 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Azage, Muluken
Kumie, Abera
Worku, Alemayehu
Bagtzoglou, Amvrossios C.
Childhood Diarrhea Exhibits Spatiotemporal Variation in Northwest Ethiopia: A SaTScan Spatial Statistical Analysis
title Childhood Diarrhea Exhibits Spatiotemporal Variation in Northwest Ethiopia: A SaTScan Spatial Statistical Analysis
title_full Childhood Diarrhea Exhibits Spatiotemporal Variation in Northwest Ethiopia: A SaTScan Spatial Statistical Analysis
title_fullStr Childhood Diarrhea Exhibits Spatiotemporal Variation in Northwest Ethiopia: A SaTScan Spatial Statistical Analysis
title_full_unstemmed Childhood Diarrhea Exhibits Spatiotemporal Variation in Northwest Ethiopia: A SaTScan Spatial Statistical Analysis
title_short Childhood Diarrhea Exhibits Spatiotemporal Variation in Northwest Ethiopia: A SaTScan Spatial Statistical Analysis
title_sort childhood diarrhea exhibits spatiotemporal variation in northwest ethiopia: a satscan spatial statistical analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4687002/
https://www.ncbi.nlm.nih.gov/pubmed/26690058
http://dx.doi.org/10.1371/journal.pone.0144690
work_keys_str_mv AT azagemuluken childhooddiarrheaexhibitsspatiotemporalvariationinnorthwestethiopiaasatscanspatialstatisticalanalysis
AT kumieabera childhooddiarrheaexhibitsspatiotemporalvariationinnorthwestethiopiaasatscanspatialstatisticalanalysis
AT workualemayehu childhooddiarrheaexhibitsspatiotemporalvariationinnorthwestethiopiaasatscanspatialstatisticalanalysis
AT bagtzoglouamvrossiosc childhooddiarrheaexhibitsspatiotemporalvariationinnorthwestethiopiaasatscanspatialstatisticalanalysis