Can we predict the burden of acute malnutrition in crisis-affected countries? Findings from Somalia and South Sudan.

ABSTRACT:

Background

Sample surveys are the mainstay of surveillance for acute malnutrition in settings affected by crises but are burdensome and have limited geographical coverage due to insecurity and other access issues. As a possible complement to surveys, we explored a statistical approach to predict the prevalent burden of acute malnutrition for small population strata in two crisis-affected countries, Somalia (2014-2018) and South Sudan (2015-2018).

Methods

For each country, we sourced datasets generated by humanitarian actors or other entities on insecurity, displacement, food insecurity, access to services, epidemic occurrence and other factors on the causal pathway to malnutrition. We merged these with datasets of sample household anthropometric surveys done at administrativ

SUBMITTER: Checchi F 

PROVIDER: S-EPMC9421106 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature