Quantifying the impact of different public health and social measures on population mixing vis-à-vis contact matrices in Hong Kong
Grant Data
Project Title
Quantifying the impact of different public health and social measures on population mixing vis-à-vis contact matrices in Hong Kong
Principal Investigator
Professor Leung, Sze Man Kathy
(Principal Investigator (PI))
Co-Investigator(s)
Dr Lau Eric Ho Yin
(Co-Investigator)
Professor Wu Joseph Tsz Kei
(Co-Investigator)
Professor Jit Mark
(Co-Investigator)
Professor Leung Gabriel Matthew
(Co-Investigator)
Duration
39
Start Date
2021-04-01
Amount
9990378
Conference Title
Quantifying the impact of different public health and social measures on population mixing vis-à-vis contact matrices in Hong Kong
Keywords
contact matrix, contact pattern, contact survey, COVID-19, public health and social measures, risk perception
Discipline
Others - Medicine, Dentistry and Health
HKU Project Code
COVID19F05
Grant Type
COVID-19 Studies under the Food and Health Bureau
Funding Year
2020
Status
On-going
Objectives
Public health and social measures (PHSMs) have proved to be essential in the control of the ongoing COVID-19 pandemic in Hong Kong. We propose to conduct a series of contact surveys to assess changes in popolation mixing and mobility under different PHSMs and in relation to individual health risk perception.