Monitoring Mortality in Forced Migrants—Can Bayesian Methods Help Us to Do Better with the (Little) Data We Have?

Peter Heudtlass (), Niko Speybroeck and Debarati Guha Sapir

Working Papers from eSocialSciences

Abstract: The global number of forced migrants is currently the highest since the Second World War. This is a major concern to public health: lack of access to safe water, food, sanitation, and inadequate shelter causes substantial increases in all-cause morbidity and mortality in displaced populations.

Keywords: morbidity and mortality; displaced populations; access to safe water; food; sanitation; World War; health; forced migrants; Bayesian public health; shelter; South Asia; humanitarian organizations; Least-Developed Countries; East Asia (search for similar items in EconPapers)
Date: 2015-11
Note: Institutional Papers
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