Benita Francisco, Rebollar-Ruelas Leonardo, Gaytán-Alfaro Edgar David
Engineering Systems and Design, Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372, Singapore.
Department of Economics, Colegio de la Frontera Norte, Tijuana, Mexico.
Sustain Cities Soc. 2022 Nov;86:104158. doi: 10.1016/j.scs.2022.104158. Epub 2022 Aug 31.
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.
本文旨在更好地理解社会经济变量组与新冠肺炎确诊病例之间的关联。重点关注报告的正相关、负相关、不明确或无关联的跨大陆差异。在科学网和Scopus数据库上对文献进行了系统综述。我们的搜索确定了2021年12月31日或之前发表的314项符合条件的研究。我们检测到九组经常使用的社会经济变量，并按世界区域（非洲、亚洲、欧洲、中东、北美和南美）呈现结果。该综述还扩展到描述最常用的统计和建模技术，以及纳入人口、医疗保健、天气和流动性等其他维度。同时，研究结果一致认为人口密度、人均国内生产总值和城市地区对感染传播具有普遍的积极影响，但在教育水平和收入方面却发现了相互矛盾的结果。
