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

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cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationHawassa Universityen
cg.contributor.affiliationAddis Ababa Universityen
cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.crpAgriculture for Nutrition and Health
cg.contributor.donorDeutscher Akademischer Austauschdiensten
cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.creator.identifierDelia Grace: 0000-0002-0195-9489
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1186/s41182-018-0101-1en
cg.isijournalISI Journalen
cg.issn1348-8945en
cg.issue1en
cg.journalTropical Medicine and Healthen
cg.reviewStatusPeer Reviewen
cg.subject.ilriEPIDEMIOLOGYen
cg.subject.ilriHEALTHen
cg.volume46en
dc.contributor.authorBeyene, H.en
dc.contributor.authorDeressa, W.en
dc.contributor.authorKumie, A.en
dc.contributor.authorGrace, Deliaen
dc.date.accessioned2018-06-07T13:41:07Zen
dc.date.available2018-06-07T13:41:07Zen
dc.identifier.urihttps://hdl.handle.net/10568/93119
dc.titleSpatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopiaen
dcterms.abstractBackground 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.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2018-06-04
dcterms.bibliographicCitationBeyene, H., Deressa, W., Kumie, A. and Grace, D. 2018. Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia. Tropical Medicine and Health 46: 18.en
dcterms.issued2018-12
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherSpringeren
dcterms.subjectepidemiologyen
dcterms.subjecthealthen
dcterms.typeJournal Article

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