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Health-Based Geographic Information Systems for Mapping and Risk Modeling of Infectious Diseases and COVID-19 to Support Spatial Decision-Making.
Huang, Xiao; Zhang, Renyi; Li, Xiao; Dadashova, Bahar; Zhu, Lingli; Zhang, Kai; Li, Yu; Shen, Bairong.
  • Huang X; Department of Geosciences, University of Arkansas, Fayetteville, AR, USA.
  • Zhang R; Department of Atmospheric Sciences, Texas A&M University, College Station, TX, USA.
  • Li X; Texas A&M Transportation Institute, Texas A&M University, College Station, TX, USA.
  • Dadashova B; Texas A&M Transportation Institute, Texas A&M University, College Station, TX, USA.
  • Zhu L; Department of Remote Sensing and Photogrammetry, National Land Survey of Finland, Helsinki, Finland.
  • Zhang K; Department of Environmental Health Sciences, University at Albany, State University of New York, Albany, NY, USA.
  • Li Y; School of Hydraulic Engineering, Dalian University of Technology, Dalian, China.
  • Shen B; Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China. bairong.shen@scu.edu.cn.
Adv Exp Med Biol ; 1368: 167-188, 2022.
Article in English | MEDLINE | ID: covidwho-1858954
ABSTRACT
Infectious diseases remain an essential global challenge in public health. For instance, novel coronavirus (COVID-19) has resulted in significant negative impacts on public health, infecting more than 214 million people and causing 4.47 million deaths worldwide as of August 2021. Geographic Information Systems have played an essential role in managing, storing, analyzing, and mapping disease and related risk information. This article provides an overview of a broad topic on applications of GIS into infectious disease research. Our review follows the framework of human-environment interactions, focusing on the environmental and social factors that cause the disease outbreak and the role of humans in disease control, including public health policies and interventions such as social distancing/face covering practice and mobility modeling. The work identifies key spatial decision-making issues where GIS becomes valued in the agenda for infectious disease research and highlights the importance of adopting science-based policies to protect the public during the current and future pandemics.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Adv Exp Med Biol Year: 2022 Document Type: Article Affiliation country: 978-981-16-8969-7_8

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Adv Exp Med Biol Year: 2022 Document Type: Article Affiliation country: 978-981-16-8969-7_8