A scoping review of COVID-19 research adopting quantitative geographical methods in geography, urban studies, and planning: a text mining approach
Autor: | Junghwan Kim, Sampath Rapuri, Kevin Wang, Weihe Wendy Guan, Melinda Laituri |
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Jazyk: | angličtina |
Rok vydání: | 2024 |
Předmět: | |
Zdroj: | Annals of GIS, Vol 30, Iss 1, Pp 67-80 (2024) |
Druh dokumentu: | article |
ISSN: | 19475683 1947-5691 1947-5683 |
DOI: | 10.1080/19475683.2024.2304205 |
Popis: | ABSTRACTQuantitative geographical methods have played an important role in COVID-19 research. To complement and extend previous review studies, we conduct a scoping review of COVID-19 studies employing quantitative geographical approaches by focusing on 331 papers published in 45 journals in geography, urban studies, and planning. We identify four major research themes (clusters): (1) how SARS-CoV-2 viruses spread in cities, (2) the COVID-19 mortality (death) rates and their association with socioeconomic variables, (3) how the COVID-19 pandemic changed people’s mobilities, and (4) how the COVID-19 pandemic affects air pollution. We conclude that spatial models play a key role in COVID-19 quantitative geographical approaches, and human mobility is an important and widely studied topic. We also reveal a lack of research focusing on environmental pollution (other than air pollution) that potentially worsened during the pandemic. |
Databáze: | Directory of Open Access Journals |
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