Quantifying social contact patterns in Minnesota during stay-at-home social distancing order

Audrey M Dorélien1, Narmada Venkateswaran2, Jiuchen Deng2

  • 1University of Minnesota, Minneapolis, MN, 55455, USA. dorelien@umn.edu.

Insights

Social contact patterns varied significantly during the COVID-19 stay-at-home order, with adults aged 40-50 having the most contacts. Declines were most notable in child-to-child and intergenerational contacts.

Area of Science:

  • Epidemiology
  • Public Health
  • Social Sciences

Background:

  • SARS-CoV-2 transmission is age-dependent, necessitating age-specific contact data for effective intervention design.
  • Social distancing measures were implemented to curb SARS-CoV-2 spread, impacting daily human interactions.
  • Understanding contact patterns is crucial for identifying high-risk populations and informing non-pharmaceutical interventions.

Purpose of the Study:

  • To estimate age-specific social contact patterns during the COVID-19 stay-at-home order.
  • To compare these contact patterns with pre-pandemic data.
  • To identify demographic variations in contact frequency and structure.

Main Methods:

  • The Minnesota Social Contact Study collected data on daily contacts from April-May 2020.
  • Negative binomial regression was used to analyze contact numbers based on demographics.
  • Age-structured contact matrices were generated using contact age and location data.

Main Results:

  • The mean daily contact rate during the stay-at-home order was 5.7.
  • Contact patterns showed significant variation by age, gender, race/ethnicity, and region.
  • Adults aged 40-50 reported the highest number of daily contacts.
  • Household race/ethnicity influenced contact patterns differently than individual race/ethnicity.
  • Contacts between children and between older adults and younger individuals saw the largest declines compared to pre-pandemic levels.

Conclusions:

  • Social contact patterns were significantly altered during the COVID-19 stay-at-home order, with notable demographic differences.
  • The study highlights the importance of considering race/ethnicity and age in contact network analysis.
  • Findings underscore the impact of public health interventions on social mixing and provide data for future pandemic preparedness.

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