Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Dorélien, Audrey M., Venkateswaran, Narmada, Deng, Jiuchen, Searle, Kelly, Enns, Eva, Alarcon Espinoza, Giovann, Kulasingam, Shalini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184106/
https://www.ncbi.nlm.nih.gov/pubmed/37189060
http://dx.doi.org/10.1186/s12879-022-07968-1
_version_ 1785042100471988224
author Dorélien, Audrey M.
Venkateswaran, Narmada
Deng, Jiuchen
Searle, Kelly
Enns, Eva
Alarcon Espinoza, Giovann
Kulasingam, Shalini
author_facet Dorélien, Audrey M.
Venkateswaran, Narmada
Deng, Jiuchen
Searle, Kelly
Enns, Eva
Alarcon Espinoza, Giovann
Kulasingam, Shalini
author_sort Dorélien, Audrey M.
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07968-1.
format Online
Article
Text
id pubmed-10184106
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-101841062023-05-16 Quantifying social contact patterns in Minnesota during stay-at-home social distancing order Dorélien, Audrey M. Venkateswaran, Narmada Deng, Jiuchen Searle, Kelly Enns, Eva Alarcon Espinoza, Giovann Kulasingam, Shalini BMC Infect Dis Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07968-1. BioMed Central 2023-05-15 /pmc/articles/PMC10184106/ /pubmed/37189060 http://dx.doi.org/10.1186/s12879-022-07968-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Dorélien, Audrey M.
Venkateswaran, Narmada
Deng, Jiuchen
Searle, Kelly
Enns, Eva
Alarcon Espinoza, Giovann
Kulasingam, Shalini
Quantifying social contact patterns in Minnesota during stay-at-home social distancing order
title Quantifying social contact patterns in Minnesota during stay-at-home social distancing order
title_full Quantifying social contact patterns in Minnesota during stay-at-home social distancing order
title_fullStr Quantifying social contact patterns in Minnesota during stay-at-home social distancing order
title_full_unstemmed Quantifying social contact patterns in Minnesota during stay-at-home social distancing order
title_short Quantifying social contact patterns in Minnesota during stay-at-home social distancing order
title_sort quantifying social contact patterns in minnesota during stay-at-home social distancing order
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184106/
https://www.ncbi.nlm.nih.gov/pubmed/37189060
http://dx.doi.org/10.1186/s12879-022-07968-1
work_keys_str_mv AT dorelienaudreym quantifyingsocialcontactpatternsinminnesotaduringstayathomesocialdistancingorder
AT venkateswarannarmada quantifyingsocialcontactpatternsinminnesotaduringstayathomesocialdistancingorder
AT dengjiuchen quantifyingsocialcontactpatternsinminnesotaduringstayathomesocialdistancingorder
AT searlekelly quantifyingsocialcontactpatternsinminnesotaduringstayathomesocialdistancingorder
AT ennseva quantifyingsocialcontactpatternsinminnesotaduringstayathomesocialdistancingorder
AT alarconespinozagiovann quantifyingsocialcontactpatternsinminnesotaduringstayathomesocialdistancingorder
AT kulasingamshalini quantifyingsocialcontactpatternsinminnesotaduringstayathomesocialdistancingorder