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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| Format: | Doctoral Thesis |
| Language: | en |
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Universite Libre de Bruxelles
2020
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| 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 |