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Social Disadvantage, Politics, and Severe Acute Respiratory Syndrome Coronavirus 2 Trends: A County-level Analysis of United States Data.
Mourad, Ahmad; Turner, Nicholas A; Baker, Arthur W; Okeke, Nwora Lance; Narayanasamy, Shanti; Rolfe, Robert; Engemann, John J; Cox, Gary M; Stout, Jason E.
Affiliation
  • Mourad A; Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
  • Turner NA; Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
  • Baker AW; Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
  • Okeke NL; Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
  • Narayanasamy S; Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
  • Rolfe R; Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
  • Engemann JJ; Raleigh Infectious Diseases Associates, Raleigh, North Carolina, USA.
  • Cox GM; Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
  • Stout JE; Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Clin Infect Dis ; 72(10): e604-e607, 2021 05 18.
Article in En | MEDLINE | ID: mdl-32918071
ABSTRACT

BACKGROUND:

Understanding the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for public health control efforts. Social, demographic, and political characteristics at the United States (US) county level might be associated with changes in SARS-CoV-2 case incidence.

METHODS:

We conducted a retrospective analysis of the relationship between the change in reported SARS-CoV-2 case counts at the US county level during 1 June-30 June 2020 and social, demographic, and political characteristics of the county.

RESULTS:

Of 3142 US counties, 1023 were included in the

analysis:

678 (66.3%) had increasing and 345 (33.7%) nonincreasing SARS-CoV-2 case counts between 1 June and 30 June 2020. In bivariate analysis, counties with increasing case counts had a significantly higher Social Deprivation Index (median, 48 [interquartile range {IQR}, 24-72]) than counties with nonincreasing case counts (median, 40 [IQR, 19-66]; P = .009). Counties with increasing case counts were significantly more likely to be metropolitan areas of 250 000-1 million population (P < .001), to have a higher percentage of black residents (9% vs 6%; P = .013), and to have voted for the Republican presidential candidate in 2016 by a ≥10-point margin (P = .044). In the multivariable model, metropolitan areas of 250 000-1 million population, higher percentage of black residents, and a ≥10-point Republican victory were independently associated with increasing case counts.

CONCLUSIONS:

Increasing case counts of SARS-CoV-2 in the US during June 2020 were associated with a combination of sociodemographic and political factors. Addressing social disadvantage and differential belief systems that may correspond with political alignment will play a critical role in pandemic control.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational_studies / Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Clin Infect Dis Journal subject: DOENCAS TRANSMISSIVEIS Year: 2021 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational_studies / Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Clin Infect Dis Journal subject: DOENCAS TRANSMISSIVEIS Year: 2021 Document type: Article Affiliation country: Estados Unidos