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Geospatial Analysis and Mapping Strategies for Fine-Grained and Detailed COVID-19 Data with GIS
- Source :
- ISPRS International Journal of Geo-Information, Vol 10, Iss 602, p 602 (2021), ISPRS International Journal of Geo-Information, Volume 10, Issue 9
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
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.
- Subjects :
- Information privacy
Geospatial analysis
Geographic information system
Process (engineering)
Computer science
Geography, Planning and Development
disease mapping
computer.software_genre
Need to know
geographic Information systems
Earth and Planetary Sciences (miscellaneous)
Computers in Earth Sciences
spatial patterns
data privacy
Geography (General)
business.industry
SARS-CoV-2
COVID-19
Data science
geospatial analysis
Data aggregator
Information sensitivity
2019-nCoV
territorial impact
G1-922
business
computer
Optimal decision
Subjects
Details
- Language :
- English
- ISSN :
- 22209964
- Volume :
- 10
- Issue :
- 602
- Database :
- OpenAIRE
- Journal :
- ISPRS International Journal of Geo-Information
- Accession number :
- edsair.doi.dedup.....6f2b817ceb6d759fbd6062d568a6e39f