Bayesian spatiotemporal modeling with sliding windows to correct reporting delays for real-time dengue surveillance in Thailand

Bayesian spatiotemporal modeling with sliding windows to correct reporting delays for real-time dengue surveillance in Thailand

© 2020 The Author(s). Background: The ability to produce timely and accurate estimation of dengue cases can significantly impact disease control programs. A key challenge for dengue control in Thailand is the systematic delay in reporting at different levels in the surveillance system. Efficient and...

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Bibliographic Details
Main Authors: Chawarat Rotejanaprasert, Nattwut Ekapirat, Darin Areechokchai, Richard J. Maude
Other Authors: Harvard T.H. Chan School of Public Health
Format: Article
Published: 2020
Subjects:
Business, Management and Accounting
Computer Science
Medicine
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/53621
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Institution: Mahidol University

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https://repository.li.mahidol.ac.th/handle/123456789/53621

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