2
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Health-Based Geographic Information Systems for Mapping and Risk Modeling of Infectious Diseases and COVID-19 to Support Spatial Decision-Making.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Related collections

          Author and article information

          Journal
          Adv Exp Med Biol
          Advances in experimental medicine and biology
          Springer Science and Business Media LLC
          0065-2598
          0065-2598
          2022
          : 1368
          Affiliations
          [1 ] Department of Geosciences, University of Arkansas, Fayetteville, AR, USA.
          [2 ] Department of Atmospheric Sciences, Texas A&M University, College Station, TX, USA.
          [3 ] Texas A&M Transportation Institute, Texas A&M University, College Station, TX, USA.
          [4 ] Department of Remote Sensing and Photogrammetry, National Land Survey of Finland, Helsinki, Finland.
          [5 ] Department of Environmental Health Sciences, University at Albany, State University of New York, Albany, NY, USA.
          [6 ] School of Hydraulic Engineering, Dalian University of Technology, Dalian, China.
          [7 ] 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.
          Article
          10.1007/978-981-16-8969-7_8
          35594025
          a37874bc-1517-4d23-886c-e15c0769c6f7
          History

          Spatial decision-making,Social distancing,Public health policy,Infectious disease,Geographic information system (GIS),COVID-19

          Comments

          Comment on this article