Spatial context, human activities and space-time transmission of COVID-19

Type: Virtual Paper
Theme: Geographers and COVID-19: Setting Our Direction for the Future
Sponsor Groups:
Poster #:
Day: 4/8/2021
Start / End Time: 8:00 AM / 9:15 AM (PDT)
Room: Virtual 16
Organizers: Zihan Kan, Mei-Po Kwan, Jiannan Cai, Jianwei Huang
Chairs: Zihan Kan

Call for Submissions

• Geovisualization and mapping of COVID-19
• Spatiotemporal statistics and analysis of the dynamic transmission risk of COVID-19
• Impacts of spatiotemporal uncertainties on the modeling and analysis of COVID-19
• Relationship between geographic/spatial context and outbreaks of COVID-19
• The impact on human activities and mobility on the transmission of COVID-19


Due to its high contagiousness and rapid spread, the coronavirus disease 2019 (COVID-19) pandemic has seriously threatened global public health since it was first identified in December 2019. During the pandemic, prompt and accurate space-time surveillance of COVID-19 is critical for detecting outbreaks and identifying areas with high transmission risks. Similar to other infectious diseases, the transmission risk of COVID-19 varies over space and time. It has long been recognized that spatial context and the built environment contribute to both the initial establishment and dynamic space-time patterns of diseases, as certain spatial contexts associated with built environment features (e.g., dense social gathering venues) may increase the chances of close contacts by impacting people’s activities and social interactions. Identifying the space-time patterns of COVID-19 transmission and the associated built environment characteristics can not only improve the resource allocation and intervention strategies, but also provide guidance to the public to avoid conducting high-risk activities and visiting high-risk places.


Type Details Minutes Start Time
Presenter Meifang Li*, Dartmouth College, Application of an Improved Epidemic Forest Model in Preventing and Controlling Communicable Diseases: A case study of COVID-19 Epidemic in Nanchang, China 15 8:00 AM
Presenter Lu Wang, Ryerson University, Dongmei Chen , Queen's University, Jie Yu*, Ryerson University, Lixia Yang, Ryerson University, Spatial and social patterning of COVID-19 prevention and transmission in Canada: exploring risk perception, preventive behaviour and individual activity space 15 8:15 AM
Presenter Xiu Wu*, Texas State University - San Marcos, Geostatistical Analysis on COVID-19 Cumulative Confirmed Case and Fatality Based on County Level of Texas 15 8:30 AM
Presenter Zihan Kan*, The Chinese University of Hong Kong, Mei-Po Kwan, The Chinese University of Hong Kong, Exploring the space-time patterns of COVID-19 transmission risk and their associations with different built environment factors in Hong Kong 15 8:45 AM
Presenter Qian Huang*, University of South Carolina, Wildfire Smoke Impacts on COVID-19 Cases and Deaths: A preliminary analysis in California 15 9:00 AM

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