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

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 underes...

Descripción completa

Detalles Bibliográficos
Autores principales: Bulti, Assaye, Briend, André, Dale, Nancy M., De Wagt, Arjan, Chiwile, Faraja, Chitekwe, Stanley, Isokpunwu, Chris, Myatt, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5679511/
https://www.ncbi.nlm.nih.gov/pubmed/29152260
http://dx.doi.org/10.1186/s13690-017-0234-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5679511/
https://www.ncbi.nlm.nih.gov/pubmed/29152260
http://dx.doi.org/10.1186/s13690-017-0234-4

Ejemplares similares