ArticleBMC public health2018
Prevalence, patterns, and predictors of diarrhea: a spatial-temporal comprehensive evaluation in India.
Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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34 citing papers in PubMed.
- Mapping inequities in safe water access: a spatial and geographically weighted regression analysis of unimproved water source use in sub-Saharan Africa.Journal of health, population, and nutrition · 2026Article
- Temporal variations and spatial clusters of diarrheal diseases before and during the COVID-19 pandemic in Jakarta province, Indonesia.BMC public health · 2025Article
- Geospatial analysis of diarrheal disease burden and associated health determinants among under-five children in Karnataka using NFHS data.Scientific reports · 2025Article
- Malaria prevalence and its determinants across 19 sub-Saharan African countries: a spatial and geographically weighted regression analysis.Malaria journal · 2025Article
- Prevalence and Treatment of Diarrhea Among Children in India, 2016-2021.JAMA network open · 2025Article
- The effect of addressing the top 10 global causes of death on life expectancy in 2019: a global and regional analysis.International health · 2025Article
- Evaluation of different concentration techniques for microscopic diagnosis of protozoa and helminths in stool samples of children.Journal of family medicine and primary care · 2025Article
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- Socioeconomic inequality in child health outcomes in India: analyzing trends between 1993 and 2021.International journal for equity in health · 2024Article
- Effectiveness of Saccharomyces boulardii CNCM I-745 in Adult Indian Patients with Diarrhoea: A Real-world, Multicentre, Retrospective, Comparative Study.Drugs - real world outcomes · 2024Article
- Association of Child Growth Failure Indicators With Household Sanitation Practices in India (1998-2021): Spatiotemporal Observational Study.JMIR public health and surveillance · 2024Observational
- 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
- Identifying spatial clustering of diarrhoea among children under 5 years across 707 districts in India: a cross sectional study.BMC pediatrics · 2023Article
- Preponderance of vaccine-preventable diseases hotspots in northern Ghana: a spatial and space-time clustering analysis from 2010 to 2014.BMC public health · 2022Article
- Using Open-Access Data to Explore Relations between Urban Landscapes and Diarrhoeal Diseases in Côte d'Ivoire.International journal of environmental research and public health · 2022Article
- Occurrence of Diarrheal Disease among Under-Five Children and Associated Sociodemographic and Household Environmental Factors: An Investigation Based on National Family Health Survey-4 in Rural India.Children (Basel, Switzerland) · 2022Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSpatial analysis has been vital in mapping the spread of diseases and assisting in policy making. Targeting diarrhea transmission hotspots is one of the potential strategies for reducing diarrhea cases. This study aimed to examine the spatial-temporal variations and to identify the modifiable determinants of diarrhea while controlling for the spatial dependence in the data.
methodsAn ecological study on diarrhea data from DLHS-3 and NFHS- 4 in India. Moran's I and LISA were used to detect the spatial clustering of diarrhea cases and to test for clustering in the data. Spatial regression was used to identify the modifiable factors associated with the prevalence of diarrhea. The study comprised of the prevalence of diarrhea among the children below the age of five years (U-5 s) across different states in India. The determinants of diarrhea were obtained using spatial lag models. The software used were GeoDa 1.6.6 and QGIS 2.0.
resultsThe presence of spatial autocorrelation in DLHS-3 and NFHS-4 (Moron's I = 0.577 and 0.369 respectively) enforces the usage of geographical properties while modeling the diarrhea data. The geographic clustering of high-prevalence districts was observed in the state of UP consistently. The spatial pattern of the percentage of children with diarrhea was persistently associated with the household with a sanitation facility (%) (p = 0.023 and p = 0.011). Compared to the diarrhea cases in the period 2007-2008, no much reduction was observed in the period 2015-2016. The prevalence of diarrhea and percentage of household with sanitation were ranging between 0.1-33.8% and 1.3-96.1% in the period 2007-2008 and 0.6-29.1% and 10.4-92.0% in the period 2015-2016 respectively. The least and highest prevalence of diarrhea being consistently from Assam and UP respectively.
conclusionDespite improvements in controlling spread of diarrheal disease, the burden remains high. Focus on widespread diarrheal disease control strategy by addressing the social determinants of health like basic sanitation is crucial to reduce the burden of diarrhea among U-5 s in India. The identification of hotspots will aid in the planning of control strategies for goal setting in the targeted regions.
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