Spatio‐temporal models for mapping the incidence of malaria in Pará

Our main aims in this article are: (i) to model the means by which rainfall affects malaria incidence in the state of Pará, one of Brazil's largest states; and (ii) to check for similarities along the counties in the state. We use state of the art spatial–temporal models which can, we believe, anticipate various kinds of interactions and relations that might be present in the data.

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