Monitoring Mortality in Forced Migrants—Can Bayesian Methods Help Us to Do Better with the (Little) Data We Have?
Peter Heudtlass (heudtlass@gmail.com),
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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Persistent link: https://EconPapers.repec.org/RePEc:ess:wpaper:id:7797
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