ArticleBMC infectious diseases2023
Quantifying social contact patterns in Minnesota during stay-at-home social distancing order.
Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- A comparison of contact patterns derived from the population structure in agent-based models and empirical contact survey data.PLoS computational biology · 2026Article
- Partisan differences in health behaviors can impact respiratory disease dynamics.medRxiv : the preprint server for health sciences · 2026Article
- Social inequalities in vaccine coverage and their effects on epidemic spreading.PLoS computational biology · 2025Article
- Characterising non-household contact patterns relevant to respiratory transmission in the USA: analysis of a cross-sectional survey.The Lancet. Digital health · 2025Article
- Addressing current limitations of household transmission studies by collecting contact data.American journal of epidemiology · 2024Article
- Social contact patterns following the COVID-19 pandemic: a snapshot of post-pandemic behaviour from the CoMix study.Epidemics · 2024Article
- Social contacts patterns relevant to the transmission of infectious diseases in Suzhou, China following the COVID-19 epidemic.Journal of health, population, and nutrition · 2024Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
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.
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