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.
Adult
Antimalarials
/ therapeutic use
Bayes Theorem
Burkina Faso
/ epidemiology
Drug Combinations
Female
Humans
Incidence
Malaria
/ drug therapy
Pregnancy
Pregnancy Complications, Parasitic
/ drug therapy
Pyrimethamine
/ therapeutic use
Severity of Illness Index
Spatial Analysis
Sulfadoxine
/ therapeutic use
Treatment Outcome
Young Adult
Burkina-Faso
Deaths
Pregnancy
Readiness
Severe-malaria
Spatio-temporal
Journal
Spatial and spatio-temporal epidemiology
ISSN: 1877-5853
Titre abrégé: Spat Spatiotemporal Epidemiol
Pays: Netherlands
ID NLM: 101516571
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
received:
06
06
2019
revised:
15
09
2019
accepted:
27
12
2019
entrez:
7
5
2020
pubmed:
7
5
2020
medline:
5
8
2021
Statut:
ppublish
Résumé
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 an exceedance probability of severe MiP incidence and fatality rate. Study also assessed effect of health-district service delivery (readiness) on severe-MiP outcomes. Severe-MiP fatality rate declined considerably while its incidence rate remained unchanged between January-2013 and December-2018. Severe-MiP cases persisted throughout the year with peaks between August and November. These peaks increased 2.5-fold the fatality rate. Furthermore, severe-MiP fatality was higher in health-districts classified as low-readiness (IRR = 2.469, 95%CrI: 1.632-3.738). However, the fatality rate decreased significantly with proper coverage with three doses for intermittent-preventive-treatment with sulphadoxine-pyrimethamine. Severe-MiP burden was heterogeneous spatially and temporally. The study suggested that health-programs should increase health-districts readiness and optimize resource allocation in high burden areas and months.
Identifiants
pubmed: 32370941
pii: S1877-5845(20)30011-3
doi: 10.1016/j.sste.2020.100333
pmc: PMC7613547
mid: EMS153511
pii:
doi:
Substances chimiques
Antimalarials
0
Drug Combinations
0
fanasil, pyrimethamine drug combination
37338-39-9
Sulfadoxine
88463U4SM5
Pyrimethamine
Z3614QOX8W
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
100333Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203077
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 211208/Z/18/Z
Pays : United Kingdom
Informations de copyright
Copyright © 2020. Published by Elsevier Ltd.
Déclaration de conflit d'intérêts
Declaration of Competing Interest None.
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