A County-Level Analysis of the US Radiologist Workforce: Physician Supply and Subspecialty Characteristics

The ongoing COVID-19 pandemic is causing significant morbidity and mortality across the US. In this ecological study, we identified county-level variables associated with the COVID-19 case-fatality rate (CFR) using publicly available datasets and a negative binomial generalized linear model. Variables associated with decreased CFR included a greater number of hospitals per 10,000 people, banning religious gatherings, a higher percentage of people living in mobile homes, and a higher percentage of uninsured people. Variables associated with increased CFR included a higher percentage of the population over age 65, a higher percentage of Black or African Americans, a higher asthma prevalence, and a greater number of hospitals in a county. By identifying factors that are associated with COVID-19 CFR in US counties, we hope to help officials target public health interventions and healthcare resources to locations that are at increased risk of COVID-19 fatalities.

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Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave

10.1101/2021.02.24.21252135 ◽

2021 ◽

Author(s):

Jess A. Millar ◽

Hanh Dung N. Dao ◽

Marianne E. Stefopulos ◽

Camila G. Estevam ◽

Katharine Fagan-Garcia ◽

...

Keyword(s):

Generalized Linear Model ◽

Ecological Study ◽

Negative Binomial ◽

Case Fatality ◽

The United States ◽

Asthma Prevalence ◽

County Level ◽

Increased Risk ◽

The Us ◽

Level Analysis

AbstractThe ongoing COVID-19 pandemic is causing significant morbidity and mortality across the US. In this ecological study, we identified county-level variables associated with the COVID-19 case-fatality rate (CFR) using publicly available datasets and a negative binomial generalized linear model. Variables associated with decreased CFR included a greater number of hospitals per 10,000 people, banning religious gatherings, a higher percentage of people living in mobile homes, and a higher percentage of uninsured people. Variables associated with increased CFR included a higher percentage of the population over age 65, a higher percentage of Black or African Americans, a higher asthma prevalence, and a greater number of hospitals in a county. By identifying factors that are associated with COVID-19 CFR in US counties, we hope to help officials target public health interventions and healthcare resources to locations that are at increased risk of COVID-19 fatalities.

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Using Demographic Pattern Analysis to Predict COVID-19 Fatalities on the US County Level

Digital Government: Research and Practice (DGOV) ◽

10.1145/3430196 ◽

2020 ◽

Vol 2 (1) ◽

pp. 1-11

Author(s):

Klaus Mueller ◽

Eric Papenhausen

Keyword(s):

Pattern Analysis ◽

County Level ◽

The Us

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Energy price shocks and economic growth in the US: A state-level analysis

Energy Economics ◽

10.1016/j.eneco.2021.105242 ◽

2021 ◽

pp. 105242

Author(s):

Michael Alexeev ◽

Yao-Yu Chih

Keyword(s):

Economic Growth ◽

State Level ◽

Energy Price ◽

Price Shocks ◽

The Us ◽

Level Analysis

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Political Competition and Right-Wing Terrorism: A County-Level Analysis of the United States

Political Research Quarterly ◽

10.1177/10659129211006791 ◽

2021 ◽

pp. 106591292110067

Author(s):

Stephen C. Nemeth ◽

Holley E. Hansen

Keyword(s):

Comparative Politics ◽

Political Competition ◽

The United States ◽

County Level ◽

Right Wing ◽

Social Changes ◽

Electoral Outcomes ◽

Economic Anxiety ◽

Political Economic ◽

Level Analysis

While many previous studies on U.S. right-wing violence center on factors such as racial threat and economic anxiety, we draw from comparative politics research linking electoral dynamics to anti-minority violence. Furthermore, we argue that the causes of right-wing terrorism do not solely rest on political, economic, or social changes individually, but on their interaction. Using a geocoded, U.S. county-level analysis of right-wing terrorist incidents from 1970 to 2016, we find no evidence that poorer or more diverse counties are targets of right-wing terrorism. Rather, right-wing violence is more common in areas where “playing the ethnic card” makes strategic sense for elites looking to shift electoral outcomes: counties that are in electorally competitive areas and that are predominantly white.

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