Changing social contact patterns among US workers during the COVID-19 pandemic: April 2020 to December 2021

IF 3 3区 医学 Q2 INFECTIOUS DISEASES
Moses C. Kiti , Obianuju G. Aguolu , Alana Zelaya , Holin Y. Chen , Noureen Ahmed , Jonathan Batross , Carol Y. Liu , Kristin N. Nelson , Samuel M. Jenness , Alessia Melegaro , Faruque Ahmed , Fauzia Malik , Saad B. Omer , Ben A. Lopman
{"title":"Changing social contact patterns among US workers during the COVID-19 pandemic: April 2020 to December 2021","authors":"Moses C. Kiti ,&nbsp;Obianuju G. Aguolu ,&nbsp;Alana Zelaya ,&nbsp;Holin Y. Chen ,&nbsp;Noureen Ahmed ,&nbsp;Jonathan Batross ,&nbsp;Carol Y. Liu ,&nbsp;Kristin N. Nelson ,&nbsp;Samuel M. Jenness ,&nbsp;Alessia Melegaro ,&nbsp;Faruque Ahmed ,&nbsp;Fauzia Malik ,&nbsp;Saad B. Omer ,&nbsp;Ben A. Lopman","doi":"10.1016/j.epidem.2023.100727","DOIUrl":null,"url":null,"abstract":"<div><p>Non-pharmaceutical interventions minimize social contacts, hence the spread of respiratory pathogens such as influenza and SARS-CoV-2. Globally, there is a paucity of social contact data from the workforce. In this study, we quantified two-day contact patterns among USA employees. Contacts were defined as face-to-face conversations, involving physical touch or proximity to another individual and were collected using electronic self-kept diaries. Data were collected over 4 rounds from 2020 to 2021 during the COVID-19 pandemic. Mean (standard deviation) contacts reported by 1456 participants were 2.5 (2.5), 8.2 (7.1), 9.2 (7.1) and 10.1 (9.5) across round 1 (April–June 2020), 2 (November 2020–January 2021), 3 (June–August 2021), and 4 (November–December 2021), respectively. Between round 1 and 2, we report a 3-fold increase in the mean number of contacts reported per participant with no major increases from round 2–4. We then modeled SARS-CoV-2 transmission at home, work, and community settings. The model revealed reduced relative transmission in all settings in round 1. Subsequently, transmission increased at home and in the community but remained exceptionally low in work settings. To accurately parameterize models of infection transmission and control, we need empirical social contact data that capture human mixing behavior across time.</p></div>","PeriodicalId":49206,"journal":{"name":"Epidemics","volume":"45 ","pages":"Article 100727"},"PeriodicalIF":3.0000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755436523000634/pdfft?md5=74164db0f3515598af291f136f59e369&pid=1-s2.0-S1755436523000634-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755436523000634","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

Abstract

Non-pharmaceutical interventions minimize social contacts, hence the spread of respiratory pathogens such as influenza and SARS-CoV-2. Globally, there is a paucity of social contact data from the workforce. In this study, we quantified two-day contact patterns among USA employees. Contacts were defined as face-to-face conversations, involving physical touch or proximity to another individual and were collected using electronic self-kept diaries. Data were collected over 4 rounds from 2020 to 2021 during the COVID-19 pandemic. Mean (standard deviation) contacts reported by 1456 participants were 2.5 (2.5), 8.2 (7.1), 9.2 (7.1) and 10.1 (9.5) across round 1 (April–June 2020), 2 (November 2020–January 2021), 3 (June–August 2021), and 4 (November–December 2021), respectively. Between round 1 and 2, we report a 3-fold increase in the mean number of contacts reported per participant with no major increases from round 2–4. We then modeled SARS-CoV-2 transmission at home, work, and community settings. The model revealed reduced relative transmission in all settings in round 1. Subsequently, transmission increased at home and in the community but remained exceptionally low in work settings. To accurately parameterize models of infection transmission and control, we need empirical social contact data that capture human mixing behavior across time.

新冠肺炎大流行期间美国工人社交接触模式的变化:2020年4月至2021年12月。
非药物干预尽量减少社会接触,从而减少流感和严重急性呼吸系统综合征冠状病毒2型等呼吸道病原体的传播。在全球范围内,劳动力的社会接触数据很少。在这项研究中,我们量化了美国员工为期两天的接触模式。联系人被定义为面对面的对话,包括与另一个人的身体接触或接近,并使用电子自记日记收集。数据是在新冠肺炎大流行期间从2020年到2021年的4轮中收集的。1456名参与者报告的第一轮(2020年4月至6月)、第二轮(2021年11月至1月)、第一轮(2021月至8月)和第四轮(2021 11月至12月)的平均(标准差)接触人数分别为2.5(2.5)、8.2(7.1)、9.2(7.1)和10.1(9.5)。在第1轮和第2轮之间,我们报告每个参与者报告的平均接触人数增加了3倍,而第2-4轮没有显著增加。然后,我们模拟了严重急性呼吸系统综合征冠状病毒2型在家庭、工作和社区环境中的传播。该模型显示,在第一轮的所有设置中,相对传输都有所减少。随后,家庭和社区的传播增加,但在工作环境中的传播率仍然非常低。为了准确地参数化感染传播和控制的模型,我们需要经验社会接触数据来捕捉人类在不同时间的混合行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Epidemics
Epidemics INFECTIOUS DISEASES-
CiteScore
6.00
自引率
7.90%
发文量
92
审稿时长
140 days
期刊介绍: Epidemics publishes papers on infectious disease dynamics in the broadest sense. Its scope covers both within-host dynamics of infectious agents and dynamics at the population level, particularly the interaction between the two. Areas of emphasis include: spread, transmission, persistence, implications and population dynamics of infectious diseases; population and public health as well as policy aspects of control and prevention; dynamics at the individual level; interaction with the environment, ecology and evolution of infectious diseases, as well as population genetics of infectious agents.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信