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

Lathan Liou; Rockli Kim; S. V. Subramanian

doi:10.1016/j.ssmph.2019.100524

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 journal › Article › peer-review

24 Citations (Scopus)

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 language	English
Article number	100524
Journal	SSM - Population Health
Volume	10
DOIs	https://doi.org/10.1016/j.ssmph.2019.100524
Publication status	Published - 2020 Apr
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2019

Keywords

Child undernutrition
Districts
Geospatial
India
Wealth disparity

ASJC Scopus subject areas

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

UN SDGs

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

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10.1016/j.ssmph.2019.100524

Cite this

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title = "Identifying geospatial patterns in wealth disparity in child malnutrition across 640 districts in India",

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.",

keywords = "Child undernutrition, Districts, Geospatial, India, Wealth disparity",

author = "Lathan Liou and Rockli Kim and Subramanian, \{S. V.\}",

note = "Publisher Copyright: {\textcopyright} 2019",

year = "2020",

month = apr,

doi = "10.1016/j.ssmph.2019.100524",

language = "English",

volume = "10",

journal = "SSM - Population Health",

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T1 - Identifying geospatial patterns in wealth disparity in child malnutrition across 640 districts in India

AU - Liou, Lathan

AU - Kim, Rockli

AU - Subramanian, S. V.

PY - 2020/4

Y1 - 2020/4

N2 - 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.

AB - 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.

KW - Child undernutrition

KW - Districts

KW - Geospatial

KW - India

KW - Wealth disparity

UR - https://www.scopus.com/pages/publications/85162050697

U2 - 10.1016/j.ssmph.2019.100524

DO - 10.1016/j.ssmph.2019.100524

M3 - Article

AN - SCOPUS:85162050697

SN - 2352-8273

VL - 10

JO - SSM - Population Health

JF - SSM - Population Health

M1 - 100524

ER -

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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