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

作者：Audrey Dorélien, Narmada Venkateswaran, Jiuchen Deng, Kelly M. Searle, Eva A. Enns, Giovann Alarcón Espinoza, Shalini Kulasingam · 发表于：BMC Infectious Diseases · 年份：2023 · DOI：10.1186/s12879-022-07968-1 · 被引用次数：17 · 研究领域：COVID-19 epidemiological studies、COVID-19 and Mental Health、Health disparities and outcomes

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 sam...