Review of Geospatial Technology for Infectious Disease Surveillance: Use Case on COVID-19

This paper discusses on the increasing relevancy of geospatial technologies such as geographic information system (GIS) in the public health domain, particularly for the infectious disease surveillance and modelling strategies. Traditionally, the disease mapping tasks have faced many challenges—(1)...

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Bibliographic Details
Published in:Journal of the Indian Society of Remote Sensing 2020-08, Vol.48 (8), p.1121-1138
Main Authors: Saran, Sameer, Singh, Priyanka, Kumar, Vishal, Chauhan, Prakash
Format: Article
Language:English
Subjects:
Case studies
Coronaviruses
COVID-19
Decision making
Earth and Environmental Science
Earth Sciences
Geographic information systems
Geography
Infectious diseases
Mapping
Public health
Remote sensing
Remote Sensing/Photogrammetry
Review
Review Article
Surveillance
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Summary:This paper discusses on the increasing relevancy of geospatial technologies such as geographic information system (GIS) in the public health domain, particularly for the infectious disease surveillance and modelling strategies. Traditionally, the disease mapping tasks have faced many challenges—(1) authors rarely documented the evidence that were used to create map, (2) before evolution of GIS, many errors aroused in mapping tasks which were expanded extremely at global scales, and (3) there were no fidelity assessment of maps which resulted in inaccurate precision. This study on infectious diseases geo-surveillance is divided into four broad sections with emphasis on handling geographical and temporal issues to help in public health decision-making and planning policies: (1) geospatial mapping of diseases using its spatial and temporal information to understand their behaviour across geography; (2) the citizen’s involvement as volunteers in giving health and disease data to assess the critical situation for disease’s spread and prevention in neighbourhood effect; (3) scientific analysis of health-related behaviour using mathematical epidemiological and geo-statistical approaches with (4) capacity building program. To illustrate each theme, recent case studies are cited and case studies are performed on COVID-19 to demonstrate selected models.
ISSN:0255-660X
0974-3006
DOI:10.1007/s12524-020-01140-5