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

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

One of the major contributors of malaria-related deaths in Sub-Saharan African countries is the limited accessibility to quality care. In these countries, malaria control activities are implemented at the health-district level (operational entity of the national health system), while malaria readine...

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Bibliographic Details
Main Authors: Toussaint Rouamba, Sekou Samadoulougou, Cheick Saïd Compaoré, Halidou Tinto, Jean Gaudart, Fati Kirakoya-Samadoulougou
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:International Journal of Environmental Research and Public Health
Subjects:
SARA survey
binomial hierarchical Bayesian
geo-epidemiology
spatial analysis
malaria
service readiness
Online Access:https://www.mdpi.com/1660-4601/17/11/3923

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https://www.mdpi.com/1660-4601/17/11/3923

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