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

Journals

  1. Wang H, Lin T, Yao Y, Hsu C, Yang C, Chen T, Yeh Y. Community-Based Digital Contact Tracing of Emerging Infectious Diseases: Design and Implementation Study With Empirical COVID-19 Cases. Journal of Medical Internet Research 2023;25:e47219 View
  2. Yeh Y, Lin T, Yao Y, Hsu C, Yen A, Chen S, Chen T. New insights into three trajectories of omicron-related all-cause death reduced by COVID-19 booster vaccination. Journal of Infection and Public Health 2024;17(5):735 View
  3. Babanejaddehaki G, An A, Papagelis M. Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources. ACM Transactions on Computing for Healthcare 2024 View