Nowcasting COVID-19 transmission dynamics, severity, and the effectiveness of control measures
Grant Data
Project Title
Nowcasting COVID-19 transmission dynamics, severity, and the effectiveness of control measures
Principal Investigator
Professor Cowling, Benjamin John
(Principal Investigator (PI))
Co-Investigator(s)
Professor Wu Joseph Tsz Kei
(Co-Investigator)
Dr Peng Wu
(Co-Investigator)
Duration
18
Start Date
2020-04-01
Completion Date
2023-07-18
Amount
1157772
Conference Title
Nowcasting COVID-19 transmission dynamics, severity, and the effectiveness of control measures
Keywords
control measures, COVID-19 transmission dynamics
Discipline
Others - Medicine, Dentistry and Health
HKU Project Code
COVID190118
Grant Type
Commissioned Research on the Novel Coronavirus Disease (COVID-19)
Funding Year
2019
Status
Completed
Objectives
(1) To estimate the reproductive number in real-time throughout the epidemic, using a variety of data sources; (2) To estimate the hospital fatality risk and the symptomatic case fatality risk in real-time throughout the epidemic, using a variety of data sources; (3) To estimate the impact on the COVID-19 epidemic of control measures such as isolation, quarantine, school closures, travel restrictions, and other social distancing measures and behavioural changes.