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Published on: March 1, 2019
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.
Abstract:
SARS-CoV-2 is primarily transmitted through person-to-person contacts. It is important to collect information on age-specific contact patterns because SARS-CoV-2 susceptibility, transmission, and morbidity vary by age. To reduce the risk of infection, social distancing measures have been implemented. Social contact data, which identify who has contact with whom especially by age and place are needed to identify high-risk groups and serve to inform the design of non-pharmaceutical interventions. We estimated and used negative binomial regression to compare the number of daily contacts during the first round (April-May 2020) of the Minnesota Social Contact Study, based on respondent's age, gender, race/ethnicity, region, and other demographic characteristics. We used information on the age and location of contacts to generate age-structured contact matrices. Finally, we compared the age-structured contact matrices during the stay-at-home order to pre-pandemic matrices. During the state-wide stay-home order, the mean daily number of contacts was 5.7. We found significant variation in contacts by age, gender, race, and region. Adults between 40 and 50 years had the highest number of contacts. The way race/ethnicity was coded influenced patterns between groups. Respondents living in Black households (which includes many White respondents living in inter-racial households with black family members) had 2.7 more contacts than respondents in White households; we did not find this same pattern when we focused on individual's reported race/ethnicity. Asian or Pacific Islander respondents or in API households had approximately the same number of contacts as respondents in White households. Respondents in Hispanic households had approximately two fewer contacts compared to White households, likewise Hispanic respondents had three fewer contacts than White respondents. Most contacts were with other individuals in the same age group. Compared to the pre-pandemic period, the biggest declines occurred in contacts between children, and contacts between those over 60 with those below 60.
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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