Bayesian spatio-temporal distributed lag modeling for delayed climatic effects on sparse malaria incidence data

Background: In many areas of the Greater Mekong Subregion (GMS), malaria endemic regions have shrunk to patches of predominantly low-transmission. With a regional goal of elimination by 2030, it is important to use appropriate methods to analyze and predict trends in incidence in these remaining tra...

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Bibliographic Details
Main Authors: Chawarat Rotejanaprasert, Nattwut Ekapirat, Prayuth Sudathip, Richard J. Maude
Other Authors: Faculty of Tropical Medicine, Mahidol University
Format: Article
Published: 2022
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/77457
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Institution: Mahidol University

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