Publications by authors named "Tsz-Lik Chan"
Demographic structure and latent phenomenon are two essential factors determining the rate of tuberculosis transmission. However, only a few mathematical models considered age structure coupling with disease stages of infectious individuals. This paper develops a system of delay partial differential equations to model tuberculosis transmission in a heterogeneous population.
View Article and Find Full Text PDFModeling COVID-19 Transmission Dynamics With Self-Learning Population Behavioral Change.
Front Public Health
January 2022
Article Synopsis
- Many regions experienced repeated COVID-19 outbreaks after easing social distancing, highlighting its importance in controlling the virus spread.
- The study introduces a SEAIR model to analyze COVID-19 transmission dynamics while considering how population behavior changes in response to social distancing measures.
- Simulations based on Hong Kong's data show that perceived infection risks and delays in information impact both the severity and timing of COVID-19 waves.