Prevalence, patterns, and predictors of diarrhea: a spatial-temporal comprehensive evaluation in India.

ABSTRACT:

Background

Spatial 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.

Methods

An 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

SUBMITTER: Nilima 

PROVIDER: S-EPMC6251155 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature