Skip to main navigation Skip to search Skip to main content

Identifying geospatial patterns in wealth disparity in child malnutrition across 640 districts in India

  • Lathan Liou
  • , Rockli Kim*
  • , S. V. Subramanian
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We assessed district-level geospatial trends in precision weighted prevalence and absolute wealth disparity in stunting, underweight, wasting, low birthweight, and anemia among children under five in India. The largest wealth disparities were found for anthropometric failures and substantial variation existed across states. We identified statistically significant (p < 0.001) geospatial patterns in district-wide wealth disparities for all outcomes, which differed from geospatial patterns for the overall prevalence. We characterized each district as either a “Disparity”, “Pitfall”, “Intensity”, or “Prosperity” area based on its overall burden and wealth disparity, as well as discuss the importance of considering both measures for geographically-targeted public health interventions to improve health equity.

Original languageEnglish
Article number100524
JournalSSM - Population Health
Volume10
DOIs
Publication statusPublished - 2020 Apr
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Child undernutrition
  • Districts
  • Geospatial
  • India
  • Wealth disparity

ASJC Scopus subject areas

  • Health(social science)
  • Health Policy
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Identifying geospatial patterns in wealth disparity in child malnutrition across 640 districts in India'. Together they form a unique fingerprint.

Cite this