Two-step spatiotemporal anomaly detection corrected for lag reporting time with application to real-time dengue surveillance in Thailand

Two-step spatiotemporal anomaly detection corrected for lag reporting time with application to real-time dengue surveillance in Thailand

Abstract Background Dengue infection ranges from asymptomatic to severe and life-threatening, with no specific treatment available. Vector control is crucial for interrupting its transmission cycle. Accurate estimation of outbreak timing and location is essential for efficient resource allocation. T...

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Bibliographic Details
Main Authors: Chawarat Rotejanaprasert, Darin Areechokchai, Richard J. Maude
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Medical Research Methodology
Subjects:
Spatiotemporal
Dengue
Bayesian
Cluster detection
Delay
Online Access:https://doi.org/10.1186/s12874-024-02141-5

Internet

https://doi.org/10.1186/s12874-024-02141-5

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