Geospatial Analysis and Mapping Strategies for Fine-Grained and Detailed COVID-19 Data with GIS
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ijgi-10-00602-v3.pdf
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5.91 MB
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Adobe PDF
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73aa64d165db31f8b15783e3af250417
Author(s)
Carballada, Angel Miramontes
Balsa-Barreiro, Jose
Date Issued
September 2021
Publisher
MDPI AG
Citation
Carballada, Angel Miramontes and Josel Balsa-Barreiro. "Geospatial Analysis and Mapping Strategies for Fine-Grained and Detailed COVID-19 Data with GIS." SPRS International Journal of Geo-Information 10, 9 (September 2021): 602.
Version
Final published version
Abstract
The unprecedented COVID-19 pandemic is showing dramatic impact across the world. Public health authorities attempt to fight against the virus while maintaining economic activity. In the face of the uncertainty derived from the virus, all the countries have adopted non-pharmaceutical interventions for limiting the mobility and maintaining social distancing. In order to support these interventions, some health authorities and governments have opted for sharing very fine-grained data related with the impact of the virus in their territories. Geographical science is playing a major role in terms of understanding how the virus spreads across regions. Location of cases allows identifying the spatial patterns traced by the virus. Understanding these patterns makes controlling the virus spread feasible, minimizes its impact in vulnerable regions, anticipates potential outbreaks, or elaborates predictive risk maps. The application of geospatial analysis to fine-grained data must be urgently adopted for optimal decision making in real and near-real time. However, some aspects related to process and map sensitive health data in emergency cases have not yet been sufficiently explored. Among them include concerns about how these datasets with sensitive information must be shown depending on aspects related to data aggregation, scaling, privacy issues, or the need to know in advance the particularities of the study area. In this paper, we introduce our experience in mapping fine-grained data related to the incidence of the COVID-19 during the first wave in the region of Galicia (NW Spain), and after that we discuss the mentioned aspects.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.3390/ijgi10090602
