{"title":"Broadband internet access as a social determinant of health in the early COVID-19 pandemic in U.S. counties","authors":"Spencer Allen","doi":"10.1016/j.ssmph.2025.101747","DOIUrl":null,"url":null,"abstract":"<div><div>Recent work suggests that internet access was key in delivering life-saving health information about the COVID-19 pandemic. This paper expands on these findings by focusing on the early pandemic in the United States to examine the role of internet access on masking and COVID-19 incidence and mortality. Using county-level data from the American Community Survey, The New York Times, and other sources, weighted OLS regression models with state fixed-effects were used to predict the association of internet access on self-reported masking in July 2020 and COVID-19 incidence and mortality during multiple periods from July–October 2020. Results suggest that internet access is associated with a substantial decrease in a county's COVID-19 incidence and mortality. Most strikingly, models predict that counties with the highest internet access had less than 50% of the COVID-19 mortality as counties with the lowest internet access from July–October 2020. Meanwhile, though the association between internet access and masking is positive and significant, the effect size net of control variables is small. In sum, this paper finds that internet access is associated with COVID-19 outcomes in ways beyond information about masking alone.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101747"},"PeriodicalIF":3.6000,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11764479/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ssm-Population Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352827325000011","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Recent work suggests that internet access was key in delivering life-saving health information about the COVID-19 pandemic. This paper expands on these findings by focusing on the early pandemic in the United States to examine the role of internet access on masking and COVID-19 incidence and mortality. Using county-level data from the American Community Survey, The New York Times, and other sources, weighted OLS regression models with state fixed-effects were used to predict the association of internet access on self-reported masking in July 2020 and COVID-19 incidence and mortality during multiple periods from July–October 2020. Results suggest that internet access is associated with a substantial decrease in a county's COVID-19 incidence and mortality. Most strikingly, models predict that counties with the highest internet access had less than 50% of the COVID-19 mortality as counties with the lowest internet access from July–October 2020. Meanwhile, though the association between internet access and masking is positive and significant, the effect size net of control variables is small. In sum, this paper finds that internet access is associated with COVID-19 outcomes in ways beyond information about masking alone.
期刊介绍:
SSM - Population Health. The new online only, open access, peer reviewed journal in all areas relating Social Science research to population health. SSM - Population Health shares the same Editors-in Chief and general approach to manuscripts as its sister journal, Social Science & Medicine. The journal takes a broad approach to the field especially welcoming interdisciplinary papers from across the Social Sciences and allied areas. SSM - Population Health offers an alternative outlet for work which might not be considered, or is classed as ''out of scope'' elsewhere, and prioritizes fast peer review and publication to the benefit of authors and readers. The journal welcomes all types of paper from traditional primary research articles, replication studies, short communications, methodological studies, instrument validation, opinion pieces, literature reviews, etc. SSM - Population Health also offers the opportunity to publish special issues or sections to reflect current interest and research in topical or developing areas. The journal fully supports authors wanting to present their research in an innovative fashion though the use of multimedia formats.