Bayesian spatial modelling of malaria burden in two contrasted eco-epidemiological facies in Benin (West Africa): call for localized interventions.
- DOI
- 10.1186/s12889-022-14032-9
- Published
- 2022 Sep 16
- Container
- BMC public health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12889-022-14032-9,
title = {Bayesian spatial modelling of malaria burden in two contrasted eco-epidemiological facies in Benin (West Africa): call for localized interventions.},
author = {Damien BG and Sode AI and Bocossa D and Elanga-Ndille E and Aguemon B and Corbel V and Henry MC and Glèlè Kakaï RL and Remoué F},
year = {2022},
journal = {BMC public health},
doi = {10.1186/s12889-022-14032-9},
url = {https://doi.org/10.1186/s12889-022-14032-9}
}RIS
TY - JOUR TI - Bayesian spatial modelling of malaria burden in two contrasted eco-epidemiological facies in Benin (West Africa): call for localized interventions. AU - Damien BG AU - Sode AI AU - Bocossa D AU - Elanga-Ndille E AU - Aguemon B AU - Corbel V AU - Henry MC AU - Glèlè Kakaï RL AU - Remoué F PY - 2022 JO - BMC public health DO - 10.1186/s12889-022-14032-9 UR - https://doi.org/10.1186/s12889-022-14032-9 ER -
APA
BG, D., AI, S., D, B., E, E., B, A., V, C., MC, H., RL, G. K., & F, R. (2022). Bayesian spatial modelling of malaria burden in two contrasted eco-epidemiological facies in Benin (West Africa): call for localized interventions.. BMC public health. https://doi.org/10.1186/s12889-022-14032-9