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Published in: International Journal of Public Health 3/2020

01-04-2020 | Nutrition | Original article

Spatial modeling of child malnutrition attributable to drought in India

Authors: Subhojit Shaw, Junaid Khan, Balram Paswan

Published in: International Journal of Public Health | Issue 3/2020

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Abstract

Objectives

Indian agriculture is mostly dependent on monsoon. Poor and irregular rainfall may result in crop failure and food shortage among the vulnerable population. This study examined the variations in drought condition and its association with under age 5 child malnutrition across the districts of India.

Methods

Using remote sensing and National Family Health Survey (NFHS-4) data, univariate Moran’s I and bivariate local indicator of spatial autocorrelation (LISA) maps were generated to assess the spatial autocorrelation and clustering. To empirically check the association, we applied multivariate ordinary least square and spatial autoregressive models.

Results

The study identified highly significant spatial dependence of drought followed by underweight, stunting, and wasting. Bivariate LISA maps showed negative spatial autocorrelation between drought and child malnutrition. Regression results suggest agricultural drought is substantially associated with stunting. An increasing value of drought showed statistical association with the decreasing (β = − 8.251; p value < 0.05) prevalence rate of child stunting across India.

Conclusions

This study provides evidence of child undernutrition attributable to drought condition, which will further improve the knowledge of human vulnerability and adaptability in the climatic context.
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Metadata
Title
Spatial modeling of child malnutrition attributable to drought in India
Authors
Subhojit Shaw
Junaid Khan
Balram Paswan
Publication date
01-04-2020
Publisher
Springer International Publishing
Published in
International Journal of Public Health / Issue 3/2020
Print ISSN: 1661-8556
Electronic ISSN: 1661-8564
DOI
https://doi.org/10.1007/s00038-020-01353-y

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