Journal
SUSTAINABLE CITIES AND SOCIETY
Volume 86, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scs.2022.104158
Keywords
COVID-19 pandemic; Spatio-temporal analysis; Socioeconomic factors; Systematic literature review; Cross -continental
Categories
Funding
- Ministry of Education, Singapore [SGPCTRS1804]
- CONACYT CVU (Mexico) [CVU 813738]
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This study provides a systematic review of the associations between socioeconomic variables and confirmed cases of COVID-19 across continents. The findings demonstrate a general positive impact of population density, per capita GDP, and urban areas on the transmission of infections, while results regarding educational level and income are contradictory.
This article aims to provide a better understanding of the associations between groups of socioeconomic variables and confirmed cases of COVID-19. The focus is on cross-continental differences of reported positive, negative, unclear, or no associations. A systematic review of the literature is conducted on the Web of Science and SCOPUS databases. Our search identifies 314 eligible studies published on or before 31 December 2021. We detect nine groups of frequently used socioeconomic variables and results are presented by region of the world (Africa, Asia, Europe, Middle East, North American and South America). The review expands to describe the most used statistical and modelling techniques as well as inclusion of additional dimensions such as demographic, healthcare weather and mobility. Meanwhile findings agree on the generalized positive impact of population density, per capita GDP and urban areas on transmission of infections, contradictory results have been found concerning to educational level and income.
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