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

被引:1
|
作者
Kiti, Moses C. [1 ,6 ]
Aguolu, Obianuju G. [2 ,3 ]
Zelaya, Alana [1 ]
Chen, Holin Y. [1 ]
Ahmed, Noureen [2 ]
Batross, Jonathan [1 ]
Liu, Carol Y. [1 ]
Nelson, Kristin N. [1 ]
Jenness, Samuel M. [1 ]
Melegaro, Alessia [4 ]
Ahmed, Faruque [5 ]
Malik, Fauzia [2 ]
Omer, Saad B. [2 ,3 ]
Lopman, Ben A. [1 ]
机构
[1] Emory Univ, Rollins Sch Publ Hlth, Atlanta, GA 30322 USA
[2] Yale Univ, Yale Inst Global Hlth, New Haven, CT 06520 USA
[3] Yale Univ, Yale Sch Med, New Haven, CT USA
[4] Bocconi Univ, DONDENA Ctr Res Social Dynam & Publ Policy, Milan, Italy
[5] CDCP, Div Global Migrat & Quarantine, Atlanta, GA USA
[6] Emory Univ, Rollins Sch Publ Hlth, 1518 Clifton Rd, Atlanta, GA 30322 USA
基金
欧洲研究理事会;
关键词
Social contact patterns; Infectious disease transmission; Mathematical modeling; COVID-19; UNITED-STATES;
D O I
10.1016/j.epidem.2023.100727
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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.
引用
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页数:10
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