Department of Sociology, University of Bucharest, Panduri 90-92, 050663, Bucharest, Romania.
Department of Computer and Information Science, University of Konstanz, 78457, Konstanz, Germany.
Sci Rep. 2022 Aug 18;12(1):14115. doi: 10.1038/s41598-022-18392-5.
The current pandemic has disproportionally affected the workforce. To improve our understanding of the role that occupations play in the transmission of COVID-19, we analyse real-world network data that were collected in Bucharest between August 1st and October 31st 2020. The data record sex, age, and occupation of 6895 patients and the 13,272 people they have interacted with, thus providing a social network from an urban setting through which COVID-19 has spread. Quite remarkably, we find that medical occupations have no significant effect on the spread of the virus. Instead, we find common transmission chains to start with infected individuals who hold jobs in the private sector and are connected with non-active alters, such as spouses, siblings, or elderly relatives. We use relational hyperevent models to assess the most likely homophily and network effects in the community transmission. We detect homophily with respect to age and anti-homophily with respect to sex and employability. We note that, although additional data would be welcomed to perform more in-depth network analyses, our findings may help public authorities better target under-performing vaccination campaigns.
当前的大流行对劳动力产生了不成比例的影响。为了更好地了解职业在 COVID-19 传播中所起的作用，我们分析了 2020 年 8 月 1 日至 10 月 31 日期间在布加勒斯特收集的真实网络数据。这些数据记录了 6895 名患者的性别、年龄和职业，以及他们与之互动过的 13272 人，从而提供了一个城市环境中的社交网络，COVID-19 通过这个网络传播。非常显著的是，我们发现医疗职业对病毒的传播没有显著影响。相反，我们发现常见的传播链是从感染的个体开始的，这些个体从事私营部门的工作，并与非活跃的配偶、兄弟姐妹或老年亲属等有联系。我们使用关系超事件模型来评估社区传播中最可能的同质性和网络效应。我们检测到了年龄上的同质性和性别及就业能力上的反同质性。我们注意到，尽管需要更多的数据来进行更深入的网络分析，但我们的发现可能有助于公共当局更好地针对表现不佳的疫苗接种运动。
