Severe-malaria infection and its outcomes among pregnant women in Burkina Faso health-districts: Hierarchical Bayesian space-time models applied to routinely-collected data from 2013 to 2018

Fine-scale hotspots detection is crucial for optimum delivery of essential health-services for reducing severe malaria in pregnancy (MiP) and death cases in Burkina Faso. This study used hierarchical-Bayesian Spatio-temporal modeling to explore space-time patterns and pinpoint health-districts with...

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Detalles Bibliográficos
Autores principales: Rouamba, Toussaint, Samadoulougou, Sekou, Tinto, Halidou, Alegana, Victor A., Kirakoya–Samadoulougou, Fati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613547/
https://www.ncbi.nlm.nih.gov/pubmed/32370941
http://dx.doi.org/10.1016/j.sste.2020.100333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613547/
https://www.ncbi.nlm.nih.gov/pubmed/32370941
http://dx.doi.org/10.1016/j.sste.2020.100333

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