Spatial analysis and GIS in the study of COVID-19. A review
Universidad Nacional Autónoma de México · University of Nottingham Malaysia Campus
Abstract
This study entailed a review of 63 scientific articles on geospatial and spatial-statistical analysis of the geographical dimension of the 2019 coronavirus disease (COVID-19) pandemic. The diversity of themes identified in this paper can be grouped into the following categories of disease mapping: spatiotemporal analysis, health and social geography, environmental variables, data mining, and web-based mapping. Understanding the spatiotemporal dynamics of COVID-19 is essential for its mitigation, as it helps to clarify the extent and impact of the pandemic and can aid decision making, planning and community action. Health geography highlights the interaction of public health officials, affected actors and first…
Citation impact
- FWCI
- 18.20
- Percentile
- 100%
- References
- 120
Authors
4Topics & keywords
- Geospatial analysis
- Pandemic
- Geography
- Geographic information system
- Health geography
- Public health
- Data science
- Regional science
- Good health and well-being