Tsz-Lik Chan
Biographic Data
| ID | 10034326 |
|---|---|
| NAME | Tsz-Lik Chan |
| GIVEN NAMES | Tsz-Lik |
| FAMILY NAME | Chan |
| SIGNATURE | CHAN T |
| AFFILIATIONS | City University of Hong Kong |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Modeling Covid-19 Transmission Dynamics With Self-Learning Population Behavioral Change
Many regions observed recurrent outbreaks of COVID-19 cases after relaxing social distancing measures. It suggests that maintaining sufficient social distancing is important for limiting the spread of COVID-19. The change of population behavior responding to the social distancing measures becomes an important factor for the pandemic prediction. In this paper, we develop a SEAIR model for studying the dynamics of COVID-19 transmission with populat…
No prominent works on this page.
Modeling Covid-19 Transmission Dynamics With Self-Learning Population Behavioral Change
Many regions observed recurrent outbreaks of COVID-19 cases after relaxing social distancing measures. It suggests that maintaining sufficient social distancing is important for limiting the spread of COVID-19. The change of population behavior responding to the social distancing measures becomes an important factor for the pandemic prediction. In this paper, we develop a SEAIR model for studying the dynamics of COVID-19 transmission with populat…
Communication (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · COVID-19 epidemiological studies (1 work) · Disease (1 work) · Environmental health (1 work) · Medicine (1 work) · Mental Health Research Topics (1 work) · Pandemic (1 work) · Population (1 work)