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How to Estimate Optimal Malaria Readiness Indicators at Health-District Level: Findings from the Burkina Faso Service Availability and Readiness Assessment (SARA) Data.

par Rouamba, Toussaint ;Samadoulougou, Sekou;Compaoré, Cheick Saïd;Tinto, Halidou;Gaudart, Jean;Kirakoya, Fati
Référence International journal of environmental research and public Health, 17, 11
Publication Publié, 2020-06-01

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Titre:	How to Estimate Optimal Malaria Readiness Indicators at Health-District Level: Findings from the Burkina Faso Service Availability and Readiness Assessment (SARA) Data.
Auteur:	Rouamba, Toussaint; Samadoulougou, Sekou; Compaoré, Cheick Saïd; Tinto, Halidou; Gaudart, Jean; Kirakoya, Fati
Informations sur la publication:	International journal of environmental research and public Health, 17, 11
Statut de publication:	Publié, 2020-06-01
Sujet CREF:	Sciences bio-médicales et agricoles
Mots-clés:	Burkina Faso
	SARA survey
	binomial hierarchical Bayesian
	geo-epidemiology
	health district
	malaria
	service readiness
	spatial analysis
MeSH keywords:	Antimalarials
	Bayes Theorem
	Burkina Faso
	Female
	Health Facilities
	Humans
	Malaria
	Pregnancy
Note générale:	SCOPUS: ar.j
Langue:	Anglais
Identificateurs:	urn:issn:1660-4601
	info:doi/10.3390/ijerph17113923
	info:pii/ijerph17113923
	info:scp/85085924033
	info:pmid/32492901
	PMC7312483