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.
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.
Authors: Peter Willeit; Robert Krause; Bernd Lamprecht; Andrea Berghold; Buck Hanson; Evelyn Stelzl; Heribert Stoiber; Johannes Zuber; Robert Heinen; Alwin Köhler; David Bernhard; Wegene Borena; Christian Doppler; Dorothee von Laer; Hannes Schmidt; Johannes Pröll; Ivo Steinmetz; Michael Wagner Journal: Lancet Reg Health Eur Date: 2021-03-23
Authors: Kobina K Hagan; Zulqarnain Javed; Miguel Cainzos-Achirica; Dirk Sostman; Farhaan S Vahidy; Javier Valero-Elizondo; Isaac Acquah; Tamer Yahya; Bita Kash; Julia D Andrieni; Prachi Dubey; Adnan A Hyder; Khurram Nasir Journal: Circ Cardiovasc Qual Outcomes Date: 2021-05-06
Authors: Holly L Richmond; Joana Tome; Haresh Rochani; Isaac Chun-Hai Fung; Gulzar H Shah; Jessica S Schwind Journal: Int J Environ Res Public Health Date: 2020-10-31 Impact factor: 3.390