Improving estimates of the burden of severe acute malnutrition and predictions of caseload for programs treating severe acute malnutrition: experiences from Nigeria

Improving estimates of the burden of severe acute malnutrition and predictions of caseload for programs treating severe acute malnutrition: experiences from Nigeria

Abstract Background The burden of severe acute malnutrition (SAM) is estimated using unadjusted prevalence estimates. SAM is an acute condition and many children with SAM will either recover or die within a few weeks. Estimating SAM burden using unadjusted prevalence estimates results in significant...

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Bibliographic Details
Main Authors: Assaye Bulti, André Briend, Nancy M. Dale, Arjan De Wagt, Faraja Chiwile, Stanley Chitekwe, Chris Isokpunwu, Mark Myatt
Format: Article
Language:English
Published: BMC 2017-11-01
Series:Archives of Public Health
Subjects:
Severe acute malnutrition
Burden
Caseload
Prevalence
Incidence
Nigeria
Online Access:http://link.springer.com/article/10.1186/s13690-017-0234-4

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http://link.springer.com/article/10.1186/s13690-017-0234-4

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