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Cited by 655

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Spatial analysis and GIS in the study of COVID-19. A review

Open access
Franch-Pardo, Ivan, Napoletano, Brian M., Rosete-Verges, Fernando, Billa, Lawal·2020·Science of The Total Environment

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 responders to improve estimations of disease propagation and likelihoods of new outbreaks. Attempts at interdisciplinary correlation examine health policy interventions for the siting of health/sanitary services and controls, mapping/tracking of human movement, formulation of appropriate scientific and political responses and projection of spatial diffusion and temporal trends. This review concludes that, to fight COVID-19, it is important to face the challenges from an interdisciplinary perspective, with proactive planning, international solidarity and a global perspective. This review provides useful information and insight that can support future bibliographic queries, and also serves as a resource for understanding the evolution of tools used in the management of this major global pandemic of the 21 Century. It is hoped that its findings will inspire new reflections on the COVID-19 pandemic by readers.

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Metadata

Authors
Franch-Pardo, I., Napoletano, B. M., Rosete-Verges, F., & Billa, L.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2020-10
Volume
739
Pages
140033
ISSN
0048-9697 (ISSN-L)
OpenAlex
W3033503930
Cited by
655
References
4
FWCI
19.61
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Spatial analysis and GIS in the study of COVID-19. A review. https://app.cochat.ai/papers/10.1016/j.scitotenv.2020.140033
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Franch-Pardo, I., Napoletano, B. M., Rosete-Verges, F., & Billa, L. (2020). Spatial analysis and GIS in the study of COVID-19. A review. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.140033

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.