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

COVID-19 Infectious disease transmission Mathematical modeling Social contact patterns

Journal

Epidemics
ISSN: 1878-0067
Titre abrégé: Epidemics
Pays: Netherlands
ID NLM: 101484711

Informations de publication

Date de publication:
07 Nov 2023
Historique:
received: 26 06 2023
revised: 21 10 2023
accepted: 03 11 2023
medline: 11 11 2023
pubmed: 11 11 2023
entrez: 10 11 2023
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 37948925
pii: S1755-4365(23)00063-4
doi: 10.1016/j.epidem.2023.100727
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100727

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI138783
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Moses C Kiti (MC)

Rollins School of Public Health, Emory University, GA, USA. Electronic address: mkiti@emory.edu.

Obianuju G Aguolu (OG)

Yale Institute for Global Health, Yale University, CT, USA; Yale School of Medicine, Yale University, CT, USA.

Alana Zelaya (A)

Rollins School of Public Health, Emory University, GA, USA.

Holin Y Chen (HY)

Rollins School of Public Health, Emory University, GA, USA.

Noureen Ahmed (N)

Yale Institute for Global Health, Yale University, CT, USA.

Jonathan Batross (J)

Rollins School of Public Health, Emory University, GA, USA.

Carol Y Liu (CY)

Rollins School of Public Health, Emory University, GA, USA.

Kristin N Nelson (KN)

Rollins School of Public Health, Emory University, GA, USA.

Samuel M Jenness (SM)

Rollins School of Public Health, Emory University, GA, USA.

Alessia Melegaro (A)

DONDENA Centre for Research in Social Dynamics and Public Policy, Bocconi University, Italy.

Faruque Ahmed (F)

Division of Global Migration and Quarantine, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Fauzia Malik (F)

Yale Institute for Global Health, Yale University, CT, USA.

Saad B Omer (SB)

Yale Institute for Global Health, Yale University, CT, USA; Yale School of Medicine, Yale University, CT, USA.

Ben A Lopman (BA)

Rollins School of Public Health, Emory University, GA, USA.

Classifications MeSH