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 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

Published in: JMIR public health and surveillance (2022)

We developed new surveillance metrics for estimating the risk of domestic cluster infections with increasing imported cases and its alert threshold for community-acquired infections varying with emerging SARS-CoV-2 strains and the availability of containment measures. The use of new surveillance metrics is important in the rapid preparedness of containment measures for averting large-scale community-acquired outbreaks arising from emerging imported SARS-CoV-2 variants.

Keyphrases

sars cov
public health
mental health
respiratory syndrome coronavirus
healthcare
monte carlo
copy number
escherichia coli
infectious diseases
gene expression
big data
dna methylation
clinical decision support