Precision mapping child undernutrition for nearly 600,000 inhabited census villages in India.

ABSTRACT: There are emerging opportunities to assess health indicators at truly small areas with increasing availability of data geocoded to micro geographic units and advanced modeling techniques. The utility of such fine-grained data can be fully leveraged if linked to local governance units that are accountable for implementation of programs and interventions. We used data from the 2011 Indian Census for village-level demographic and amenities features and the 2016 Indian Demographic and Health Survey in a bias-corrected semisupervised regression framework to predict child anthropometric failures for all villages in India. Of the total geographic variation in predicted child anthropometric failure estimates, 54.2 to 72.3% were attributed to the village level followed by 20.6 to 39.5% to the state

SUBMITTER: Kim R 

PROVIDER: S-EPMC8106321 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature