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Examining second-order impacts of COVID-19 in urban areas.

Authors :
Laituri, Melinda
Richardson, Robert B.
Kim, Junghwan
Cline, Laura V.
Viscuso, Sebastian
Schwartz, Lee
Source :
Annals of GIS. Dec2022, Vol. 28 Issue 4, p479-490. 12p.
Publication Year :
2022

Abstract

This paper examines the current state of knowledge focusing on the second-order impacts of the COVID-19 pandemic through a geospatial lens. The purpose is twofold: (1) present a global programme – Cities' COVID Mitigation Mapping (C2M2) programme – focusing on urban areas that explores second-order impacts through the use of geospatial tools and technologies, and (2) identify and assess the emerging literature on second-order impacts using geospatial data and analysis to support this project. Effects of the pandemic are rapidly unfolding across the world; however, an assessment of the literature reveals that second-order impacts of COVID-19 are seasonal, spatial, and scalar across multiple thematic areas includ-ing the economy, environmental health sector, education, and migration/mobility. Successive waves of the pandemic are continuing to be met with specific public health measures (e.g. lockdowns, travel restrictions, social distancing guidance, mandates for the use of personal protective equipment) that will have long-term impacts on vulnerable populations. A literature review was conducted to identify how the pandemic's second-order impacts derived from geospatial data and analysis can provide the basis for using geospatial data to study vulnerable urban populations more generally. This review reveals a gap in the literature, with far more articles emphasizing geospatial approaches to assess first-order impacts and alimited number of articles focused on geospatial approaches investigating second-order impacts. Nonetheless, this nascent literature provides the basis for designing approaches with local partners and by local and regional governments to apply geospatial data and methodologies to the development of mitigation strategies to prioritize limited resources to minimize the long-term consequences of COVID-19. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19475683
Volume :
28
Issue :
4
Database :
Academic Search Index
Journal :
Annals of GIS
Publication Type :
Academic Journal
Accession number :
160402803
Full Text :
https://doi.org/10.1080/19475683.2021.1954087