Published on in Vol 8, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40866, first published .
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

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

Amy Ming-Fang Yen   1 , PhD ;   Tony Hsiu-Hsi Chen   2 , PhD ;   Wei-Jung Chang   2 , PhD ;   Ting-Yu Lin   2 , PhD ;   Grace Hsiao-Hsuan Jen   1 , PhD ;   Chen-Yang Hsu   2, 3 , MD, PhD ;   Sen-Te Wang   4, 5 , MD, PhD ;   Huong Dang   6 , PhD ;   Sam Li-Sheng Chen   1, 7 , PhD

1 School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan

2 Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan

3 Daichung Hospital, Miaoli, Taiwan

4 Department of Family Medicine, Taipei Medical University Hospital, Taipei, Taiwan

5 Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan

6 Department of Economics and Finance, University of Canterbury, Christchurch, New Zealand

7 Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, Taiwan

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