ArticleBMC public health2017
Spatial variation and hot-spots of district level diarrhea incidences in Ghana: 2010-2014.
Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Safely managed drinking water service use and child diarrhoea based on evidence from 24 countries.Nature water · 2026Article
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- Spatio-Temporal Dynamics of Bloody Diarrhea Syndrome in Iran: A County-Level Identification of Clusters, Hot Spots, Outliers, and Seasonal Trends (2015-2019).Medical journal of the Islamic Republic of Iran · 2026Article
- Viral diarrhea in Ghana: a scoping review of disease burden, epidemiology, and control strategies.Frontiers in public health · 2026Article
- Epidemiology and future risk estimates of cutaneous leishmaniasis in district Dera Ismail Khan, Pakistan: analysis of data from 2019-2022.African health sciences · 2024Article
- Has Ghana's Rotavirus Vaccine Switch Met Programmatic Expectations? An Analysis of National Surveillance Data; 2018-2022.Open forum infectious diseases · 2024Article
- Spatio-temporal distributions and determinants of diarrhea among under-five children in Ethiopia.Frontiers in public health · 2024Article
- A multilevel analysis of the predictors of diarrhea among children under 5 years of age in Eswatini.Journal of public health in Africa · 2023Article
- Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan.Tropical medicine and infectious disease · 2023Article
- Rotavirus vaccine product switch in Ghana: An assessment of service delivery costs, switching costs, and cost-effectiveness.PLOS global public health · 2023Article
- Spatiotemporal patterns of diarrhea incidence in Ghana and the impact of meteorological and socio-demographic factors.Frontiers in epidemiology · 2022Article
- Article
- Spatiotemporal and hotspot detection of U5-children diarrhea in resource-limited areas of Ethiopia.Scientific reports · 2020Article
- Geographic differences in maternal and child health care utilization in four Ethiopian regions; a cross-sectional study.International journal for equity in health · 2019Article
- Exploring the spatio-temporal variation in diarrhoea prevalence in under-five children: the case of Nigeria, 1990-2013.International journal of public health · 2019Article
- Geospatial analysis of childhood morbidity in Ghana.PloS one · 2019Article
- Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia.Tropical medicine and health · 2018Article
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2 authors.
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Abstract
backgroundDiarrhea is a public health menace, especially in developing countries. Knowledge of the biological and anthropogenic characteristics is abundant. However, little is known about its spatial patterns especially in developing countries like Ghana. This study aims to map and explore the spatial variation and hot-spots of district level diarrhea incidences in Ghana.
methodsData on district level incidences of diarrhea from 2010 to 2014 were compiled together with population data. We mapped the relative risks using empirical Bayesian smoothing. The spatial scan statistics was used to detect and map spatial and space-time clusters. Logistic regression was used to explore the relationship between space-time clustering and urbanization strata, i.e. rural, peri-urban, and urban districts.
resultsWe observed substantial variation in the spatial distribution of the relative risk. There was evidence of significant spatial clusters with most of the excess incidences being long-term with only a few being emerging clusters. Space-time clustering was found to be more likely to occur in peri-urban districts than in rural and urban districts.
conclusionThis study has revealed that the excess incidences of diarrhea is spatially clustered with peri-urban districts showing the greatest risk of space-time clustering. More attention should therefore be paid to diarrhea in peri-urban districts. These findings also prompt public health officials to integrate disease mapping and cluster analyses in developing location specific interventions for reducing diarrhea.
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