Optimal use of routinely collected data among pregnant women to improve malaria surveillance in Burkina Faso: Contribution of Bayesian spatiotemporal modelling

Optimal use of routinely collected data among pregnant women to improve malaria surveillance in Burkina Faso: Contribution of Bayesian spatiotemporal modelling

Background: The control of malaria in pregnancy remains a large challenge in Burkina Faso, despite the adoption of control measures known to be effective. Known effective programs include individual measures, such as intermittent preventive treatment during pregnancy, and the use of long lasting ins...

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Bibliographic Details
Main Author: Rouamba, Toussaint
Other Authors: Kirakoya, Fati
Format: Doctoral Thesis
Language:en
Published: Universite Libre de Bruxelles 2020
Subjects:
Sciences bio-médicales et agricoles
Malaria
Pregnancy
Health Programs
Geo-epidemiology
Spatial statistic
Spatiotemporal epidemiology
Bayesian analysis
Impact evaluation
Bukina Faso
Online Access:https://dipot.ulb.ac.be/dspace/bitstream/2013/314119/5/RouambaCONTRAT.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/314119/3/Rouamba_10Nov2020.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/314119/4/Table_of_contents.pdf
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/314119

Internet

https://dipot.ulb.ac.be/dspace/bitstream/2013/314119/5/RouambaCONTRAT.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/314119/3/Rouamba_10Nov2020.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/314119/4/Table_of_contents.pdf
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/314119

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