Assessing Spatiotemporal Vulnerability for COVID-19 in Singapore
Topics: Health and Medical
, Spatial Analysis & Modeling
, Geographic Information Science and Systems
Keywords: COVID-19, vulnerability, spatiotemporal, human dynamics, infectious disease,
Session Type: Virtual Paper Abstract
Day: Saturday
Session Start / End Time: 2/26/2022 09:40 AM (Eastern Time (US & Canada)) - 2/26/2022 11:00 AM (Eastern Time (US & Canada))
Room: Virtual 27
Authors:
Yi-Chen Wang, National University of Singapore
Chan Hoong Leong, Singapore University of Social Sciences
Benny Wei Chien Chin, Singapore University of Technology and Design
Vincent Pang, National University of Singapore
Shimoni Urvish Shah, National University of Singapore
Sylvia Xiao Wei Gwee, National University of Singapore
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Abstract
The coronavirus disease 2019 (COVID-19) due to the novel severe acute respiratory coronavirus 2 (SARS-CoV-2) infection poses one of the greatest threats to global public health, causing substantial economic, social and political disruption. Evidence suggests that certain population and environmental attributes, such as locations with voluminous human traffic and congregation, are more vulnerable to SARS-CoV-2 transmission. This study aims to develop a spatiotemporal integrated vulnerability model to assess the dynamic risk profiling geographically due to the SARS-CoV-2 in Singapore. A spatiotemporal integrated vulnerability model is constructed to characterize the variation of COVID-19 risk across space and time, incorporating social, built, platial and human movement features known to influence disease transmission. Analyses are conducted at the subzone level, the basic planning unit of Singapore. Different temporal resolutions are used for comparison because human movement fluctuates over different time frames. The findings allow the examinations of how different forms of human movement and business activities affect patterns of vulnerability to COVID-19.
Assessing Spatiotemporal Vulnerability for COVID-19 in Singapore
Category
Virtual Paper Abstract
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