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The Role of Sociodemographic Factors During a Pandemic Outbreak: Aggravators and Mitigators
Population Review Pub Date : 2021-01-01 , DOI: 10.1353/prv.2021.0011
Masoud Shahmanzari , Enes Eryarsoy

Many macro-and micro-level factors affect the spread of an infectious disease. Among them are sociodemographic, socioeconomic, sociocultural, health care system infrastructure, use of alcohol or substances, level of life disruptions because of chronic illnesses. Because of accuracy and timeliness issues, officials are often forced to make one-size-fits-all decisions across all regions. This paper offers a framework to analyze and quantify the interrelationships between a wide set of sociodemographic factors and the transmission speed of the pandemic to facilitate custom-fitted regional containment measures. The purpose of this paper is to investigate the role of a comprehensive set of sociodemographic factors in the diffusion of COVID-19 analytically. Our findings suggest that diverse sets of sociodemographic factors drive the transmission during different stages of the pandemic. In specific, we show that variables such as gender, age groups, daily commuting distances, modes of employment, poverty and transportation means are found to be statistically significant in the transmission speed of COVID-19. Our results do not suggest a statistically significant relationship between transmission speed and migration-related variables. We also find that the importance levels for the statistically significant variables vary across different stages of the pandemic. Our results point out a variety of public policy insights and implications. © 2021 Sociological Demography Press.

中文翻译:

大流行病爆发期间社会人口因素的作用:加重因素和缓解因素

许多宏观和微观层面的因素都会影响传染病的传播。其中包括社会人口、社会经济、社会文化、医疗保健系统基础设施、酒精或物质的使用、慢性病导致的生活中断程度。由于准确性和及时性问题,官员们经常被迫在所有地区做出一刀切的决定。本文提供了一个框架来分析和量化广泛的社会人口因素与大流行的传播速度之间的相互关系,以促进定制的区域遏制措施。本文的目的是通过分析研究一整套社会人口因素在 COVID-19 传播中的作用。我们的研究结果表明,不同的社会人口因素在大流行的不同阶段推动了传播。具体而言,我们发现性别、年龄组、日常通勤距离、就业方式、贫困和交通方式等变量在 COVID-19 的传播速度中具有统计学意义。我们的结果并未表明传输速度与迁移相关变量之间存在统计学上的显着关系。我们还发现,统计上显着变量的重要性水平在大流行的不同阶段有所不同。我们的结果指出了各种公共政策见解和影响。© 2021 社会学人口出版社。发现就业方式、贫困和交通方式对 COVID-19 的传播速度具有统计学意义。我们的结果并未表明传输速度与迁移相关变量之间存在统计学上的显着关系。我们还发现,统计上显着变量的重要性水平在大流行的不同阶段有所不同。我们的结果指出了各种公共政策见解和影响。© 2021 社会学人口出版社。发现就业方式、贫困和交通方式对 COVID-19 的传播速度具有统计学意义。我们的结果并未表明传输速度与迁移相关变量之间存在统计学上的显着关系。我们还发现,统计上显着变量的重要性水平在大流行的不同阶段有所不同。我们的结果指出了各种公共政策见解和影响。© 2021 社会学人口出版社。我们还发现,统计上显着变量的重要性水平在大流行的不同阶段有所不同。我们的结果指出了各种公共政策见解和影响。© 2021 社会学人口出版社。我们还发现,统计上显着变量的重要性水平在大流行的不同阶段有所不同。我们的结果指出了各种公共政策见解和影响。© 2021 社会学人口出版社。
更新日期:2021-01-01
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