Symposium on Human Dynamics Research: Understanding Human-Pandemic Dynamics using Geospatial Big Data
The session recording will be archived on the site until June 25th, 2023
This session was streamed but not recorded
Date: 3/24/2023
Time: 8:30 AM - 9:50 AM
Room: Capitol Ballroom 2, Hyatt Regency, Fourth Floor
Type: Paper,
Theme: Toward More Just Geographies
Curated Track: AAG's GeoEthics Initiative and Related Effort
Sponsor Group(s):
Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Lei Zou Texas A&M University
Yang Xu The Hong Kong Polytechnic University
Xiao Huang University of Arkansas
Chair(s):
Binbin Lin Texas A&M University
Mingzheng Yang Texas A&M University
Description:
The Covid-19 pandemic has dramatically changed human daily life and affected societies at their core in much of the world, setting off a boom of human-pandemic related research. To tackle the uneven impacts of the pandemic, different countries and regions across the world implemented a range of distinct policies and residents showed diverse responses toward Covid-19. The discrepancies in human responses in turn shaped the disparate spatial temporal spread pattern of Covid-19. Therefore, the human-pandemic interaction is a complex, dynamic, interconnected system with feedback across social, economic, environmental, and pandemic dimensions. There is an urgent need to delineate the reciprocal effects between human society/behaviors and the pandemic for mitigating risks from current and future epidemics.
Diverse geospatial big data collected from remote sensing systems, social media, cell phone apps, vehicles, and sensor networks, enable near-real time tracking and evaluating human perceptions, sentiment, attitudes, and behaviors toward the pandemic, facilitating the cutting-edge methodology to visualize, analyze, and predict the impacts of the pandemic on human societies and the ensuing influences of human dynamics on epidemics. However, studying human behaviors at different locations during the pandemic, drawing scientific conclusions from geospatial big data, and revealing the dynamics of the human-pandemic system are challenging.
Presentations (if applicable) and Session Agenda:
Stephen Axon, Southern Connecticut State University |
Identifying the COVID-19 impacts on sustainable practices in New Haven County, Connecticut |
Nanzhou Hu, Texas A&M University |
Geographical and Temporal Weighted Regression: Examining Spatial Variations of COVID-19 Mortality Pattern using Mobility and Multi-Source Data |
Ka Chung Tang |
Using GeoAI and public data to control and manage infectious diseases in a highly dense city—an application of Self-Organizing Map approach to COVID-19 in Hong Kong |
Dr.Lei Zou, an assistant professor from Texas A&M University, will give a panel discussion after all presentations. |
Non-Presenting Participants
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Symposium on Human Dynamics Research: Understanding Human-Pandemic Dynamics using Geospatial Big Data
Description
Type: Paper,
Date: 3/24/2023
Time: 8:30 AM - 9:50 AM
Room: Capitol Ballroom 2, Hyatt Regency, Fourth Floor
Contact the Primary Organizer
Lei Zou Texas A&M University
lzou@tamu.edu
Session Sponsored By
