Please note that this RPG Seminar will be held virtually via Zoom at the normal time [13 January 2021 (Wednesday), 13:00 p.m.]
Please be ready 5 minutes prior to the scheduled time.
A considerable amount of literature have examined the relationships of environmental factors with morbidity and mortality from chronic diseases. Few studies have explored how environmental factors impact the transmission of infectious diseases in rapidly urbanizing large cities. Moreover, most of the previously conducted epidemiological studies were established at city-level, which assumes that populations living in different places in the city have the same environmental exposure and are afflicted by bottlenecks such as ecological fallacy and modifiable area unit problem. Furthermore, built environment factors and socioeconomic inequalities inside the city have seldom been included in these studies due to the barriers across different disciplines.
The present research focuses on the relationships between natural environmental factors, urbanization and the transmission of infectious diseases in Guangzhou, China. Employing individual-level disease information, gridded ambient air pollution concentrations generated from machine learning method, meteorological factors, and built environmental variables, the research will develop a Bayesian spatio-temporal model to provide an understanding of the associations between environment, urbanization and infectious diseases at the community level. The results generated shall provide detailed evidence-base for targeted early interventions as well as guide long-term control strategies for infectious diseases in Guangzhou.
About the Speaker:
Ms. Rong ZHANG is a second-year PhD student in the Department of Urban Planning and Design at the University of Hong Kong. She obtained her Master’s degree in public health from the Southern Medical University. Her research interests include healthy cities, built environment epidemiology, air pollution epidemiology, exposure assessment, climate change and health risk assessment, big data modelling in health and spatiotemporal data analysis.
~~ ALL INTERESTED ARE WELCOME ~~
Enquiries: 3917 2721
CENTRE OF URBAN STUDIES AND URBAN PLANNING
THE UNIVERSITY OF HONG KONG