New Surveillance Metrics for Alerting Community-Acquired Outbreaks of Emerging SARS-CoV-2 Variants Using Imported Case Data: Bayesian Markov Chain Monte Carlo Approach

New Surveillance Metrics for Alerting Community-Acquired Outbreaks of Emerging SARS-CoV-2 Variants Using Imported Case Data: Bayesian Markov Chain Monte Carlo Approach

BackgroundGlobal transmission from imported cases to domestic cluster infections is often the origin of local community-acquired outbreaks when facing emerging SARS-CoV-2 variants. ObjectiveWe aimed to develop new surveillance metrics for alerting emerging communi...

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Bibliographic Details
Main Authors: Amy Ming-Fang Yen, Tony Hsiu-Hsi Chen, Wei-Jung Chang, Ting-Yu Lin, Grace Hsiao-Hsuan Jen, Chen-Yang Hsu, Sen-Te Wang, Huong Dang, Sam Li-Sheng Chen
Format: Article
Language:English
Published: JMIR Publications 2022-11-01
Series:JMIR Public Health and Surveillance
Online Access:https://publichealth.jmir.org/2022/11/e40866

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https://publichealth.jmir.org/2022/11/e40866

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