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

Overview of attention for article published in Tropical Medicine and Health, June 2018
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Title
Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia
Published in
Tropical Medicine and Health, June 2018
DOI 10.1186/s41182-018-0101-1
Pubmed ID
Authors

Hunachew Beyene, Wakgari Deressa, Abera Kumie, Delia Grace

Abstract

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. 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. 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. 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 16%
Student > Ph. D. Student 10 10%
Researcher 8 8%
Student > Bachelor 8 8%
Other 5 5%
Other 14 15%
Unknown 36 38%
Readers by discipline Count As %
Medicine and Dentistry 14 15%
Nursing and Health Professions 11 11%
Environmental Science 6 6%
Computer Science 5 5%
Immunology and Microbiology 5 5%
Other 14 15%
Unknown 41 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 January 2019.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Tropical Medicine and Health
#381
of 441 outputs
Outputs of similar age
#301,101
of 342,821 outputs
Outputs of similar age from Tropical Medicine and Health
#8
of 9 outputs
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So far Altmetric has tracked 441 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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