Publications by authors named "Sanguo Yang"
Front Public Health
June 2024
Article Synopsis
- Emerging infectious diseases require prompt detection and analysis to control their spread, but predicting key parameters like onset time and transmission dynamics early on is challenging.*
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- We propose a Bayesian inference method that utilizes a stochastic SEIR model and the particle Markov chain Monte Carlo (PMCMC) technique to estimate essential epidemiological parameters effectively.*
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- Our method was validated through case studies on COVID-19 in China, demonstrating its ability to accurately predict important metrics, making it a useful tool for investigating various infectious diseases beyond just COVID-19.*
