Leveraging human mobility data in urban epidemic modeling: a survey

PhD Qualifying Examination


Title: "Leveraging human mobility data in urban epidemic modeling: a survey"

by

Miss Lin CHEN


Abstract:

Epidemics, including SARS, H1N1, and most recently, the prolonged COVID-19, 
pose substantial threats to human society, especially in urban environments 
where various locations are closely connected by intense human mobility. Since 
the collection and processing of large-scale, fine-grained human mobility data 
have been enabled by recent years’ rapid development of Information and 
Communication Technologies (ICTs), researchers have proposed numerous new ways 
of modeling epidemics via leveraging such data, which accelerate our 
understanding of transmission patterns and aid public health policy design. In 
this survey, we first provide an overview of human mobility data regarding 
geographical coverage, spatial resolution, and temporal resolution. We also 
summarize representative auxiliary data that provide contextual information for 
mobility data, such as census data and online social network data. We next 
categorize state-of-the-art studies into four topics based on the role human 
mobility data plays: (1) real-time risk monitoring; (2) epidemic simulation; 
(3) identifying inequalities in epidemics; and (4) informing post-pandemic 
policies. Finally, we discuss open challenges and future research directions.


Date:  			Wednesday, 8 June 2022

Time:                  	4:00pm - 6:00pm

Zoom Meeting:
https://hkust.zoom.us/j/93005703553?pwd=U2FVd0YrQUQ0eklJZzlpWDJtdFBjQT09

Committee Members:	Prof. Pan Hui (Supervisor, EMIA)
 			Dr. Tristan Braud (Supervisor)
 			Prof. James Kwok (Chairperson)
 			Prof. Dik-Lun Lee
 			Prof. Xiaofang Zhou


**** ALL are Welcome ****