1. Association Between Social Vulnerability and a County's Risk for Becoming a COVID-19 Hotspot - United States, June 1-July 25, 2020
- Author
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Celeste Philip, Charles E. Rose, Eric Pevzner, Trieste Musial, Alexandra M. Oster, Gloria J. Kang, Sharoda Dasgupta, Amy E Cha, Andrew J. Leidner, Matthew D. Ritchey, Dale A. Rose, Kelly Fletcher, Julie Villanueva, Leandris Liburd, Emilio Dirlikov, and Virginia B. Bowen
- Subjects
medicine.medical_specialty ,Health (social science) ,Epidemiology ,Social Determinants of Health ,Health, Toxicology and Mutagenesis ,Pneumonia, Viral ,Ethnic group ,01 natural sciences ,Risk Assessment ,03 medical and health sciences ,0302 clinical medicine ,Health Information Management ,Residence Characteristics ,Medicine ,Humans ,030212 general & internal medicine ,Social determinants of health ,Full Report ,0101 mathematics ,Pandemics ,Poverty ,business.industry ,Public health ,Incidence ,010102 general mathematics ,COVID-19 ,General Medicine ,United States ,Crowding ,Quartile ,Relative risk ,Risk assessment ,business ,Coronavirus Infections ,Social vulnerability ,Demography - Abstract
Poverty, crowded housing, and other community attributes associated with social vulnerability increase a community's risk for adverse health outcomes during and following a public health event (1). CDC uses standard criteria to identify U.S. counties with rapidly increasing coronavirus disease 2019 (COVID-19) incidence (hotspot counties) to support health departments in coordinating public health responses (2). County-level data on COVID-19 cases during June 1-July 25, 2020 and from the 2018 CDC social vulnerability index (SVI) were analyzed to examine associations between social vulnerability and hotspot detection and to describe incidence after hotspot detection. Areas with greater social vulnerabilities, particularly those related to higher representation of racial and ethnic minority residents (risk ratio [RR] = 5.3; 95% confidence interval [CI] = 4.4-6.4), density of housing units per structure (RR = 3.1; 95% CI = 2.7-3.6), and crowded housing units (i.e., more persons than rooms) (RR = 2.0; 95% CI = 1.8-2.3), were more likely to become hotspots, especially in less urban areas. Among hotspot counties, those with greater social vulnerability had higher COVID-19 incidence during the 14 days after detection (212-234 cases per 100,000 persons for highest SVI quartile versus 35-131 cases per 100,000 persons for other quartiles). Focused public health action at the federal, state, and local levels is needed not only to prevent communities with greater social vulnerability from becoming hotspots but also to decrease persistently high incidence among hotspot counties that are socially vulnerable.
- Published
- 2020