Clinical algorithms for the identification of sick newborns in community-based settings.
about
Resuscitation and Obstetrical Care to Reduce Intrapartum-Related Neonatal Deaths: A MANDATE Study.Maternal and Neonatal Directed Assessment of Technologies (MANDATE): Methods and Assumptions for a Predictive Model for Maternal, Fetal, and Neonatal Mortality Interventions.Incidence and risk factors of neonatal infections in a rural Bangladeshi population: a community-based prospective study.
P2860
Clinical algorithms for the identification of sick newborns in community-based settings.
description
article científic
@ca
article scientifique
@fr
articol științific
@ro
articolo scientifico
@it
artigo científico
@gl
artigo científico
@pt
artigo científico
@pt-br
artikel ilmiah
@id
artikull shkencor
@sq
artículo científico
@es
name
Clinical algorithms for the identification of sick newborns in community-based settings.
@en
Clinical algorithms for the identification of sick newborns in community-based settings.
@nl
type
label
Clinical algorithms for the identification of sick newborns in community-based settings.
@en
Clinical algorithms for the identification of sick newborns in community-based settings.
@nl
prefLabel
Clinical algorithms for the identification of sick newborns in community-based settings.
@en
Clinical algorithms for the identification of sick newborns in community-based settings.
@nl
P2860
P50
P1433
P1476
Clinical algorithms for the identification of sick newborns in community-based settings.
@en
P2093
Alan H Jobe
Emily R MacGuire
P2860
P304
P356
10.1111/J.1651-2227.2011.02540.X
P407
P577
2011-12-20T00:00:00Z