Can I read Understanding Human-COVID-19 Dynamics using Geospatial Big Data: A Systematic Literature Review on EtoBox?

Understanding Human-COVID-19 Dynamics using Geospatial Big Data: A Systematic Literature Review by Lin, Binbin; Zou, Lei; Yang, Mingzheng; Zhou, Bing; Mandal, Debayan; Abedin, Joynal; Cai, Heng; Ning, Ning is a scholarly article available to read on EtoBox.

What is Understanding Human-COVID-19 Dynamics using Geospatial Big Data: A Systematic Literature Review about?

The COVID-19 pandemic has changed human life. To mitigate the pandemic's impacts, different regions implemented various policies to contain COVID-19 and residents showed diverse responses. These human responses in turn shaped the uneven spatial-temporal spread of COVID-19. Consequently, the human-pandemic interaction is complex, dynamic, and interconnected. Delineating the reciprocal effects between human society and the pandemic is imperative for mitigating risks from future epidemics. Geospatial big data acquired through mobile applications and sensor networks have facilitated near-real-time tracking and assessment of human responses to the pandemic, enabling a surge in researching human-pandemic interactions. However, these investigations involve inconsistent data sources, human activity indicators, relationship detection models, and analysis methods, leading to a fragmented understanding of human-pandemic dynamics. To assess the current state of human-pandemic interactions research, we conducted a synthesis study based on 67 selected publications between March 2020 and January 2023. We extracted key information from each article across six categories, e.g., research area and ti

Author

Lin, Binbin; Zou, Lei; Yang, Mingzheng; Zhou, Bing; Mandal, Debayan; Abedin, Joynal; Cai, Heng; Ning, Ning

Published

2024

Language

EN