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Modelling of malaria risk, rates, and trends: A spatiotemporal approach for identifying and targeting sub-national areas of high and low burden
Lubinda J,
Bi Y,
Hamainza B,
Haque U,
Moore AJ
(2021)
Modelling of malaria risk, rates, and trends: A spatiotemporal approach for identifying and targeting sub-national areas of high and low burden.
PLOS Computational Biology 17(3): e1008669.
https://doi.org/10.1371/journal.pcbi.1008669