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TwitterThis dataset tracks the updates made on the dataset "Colorado COVID-19 Positive Cases and Rates of Infection by County of Identification" as a repository for previous versions of the data and metadata.
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TwitterColorado COVID-19 Positive Cases and Rates of Infection by County of Identification
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Twitterhttps://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html
Context: The Coronavirus disease 2019 (COVID-19) pandemic occurred during a time of political tension in the United States. County-level political environment may have been influential in COVID-19 outcomes. Objective: This study examined the association between county-level political environment and age-adjusted COVID-19 mortality rates from 2020 to 2022. Design & Setting: Political environment was measured by the 2020 Presidential election results and compared with age-adjusted COVID-19 mortality rates by county in Colorado. Main Outcome Measures: Rate ratios (RR) and 95% confidence intervals (CI) were estimated using negative binomial regression incorporating a population offset term. Models adjusted for populational differences using the demographics percentile from Colorado’s EnviroScreen Environmental Justice Tool. Results: Age-adjusted county mortality rates ranged from 14.3 to 446.8.0 per 100,000. 2021 COVID-19 mortality rates were nearly twice as high in counties voting for Donald Trump compared to those voting for Joseph Biden (adjusted RR = 1.98, 95% CI: 1.59, 2.47). Results for 2020 and 2022 mortality models were also in the positive direction, though the confidence intervals crossed null values. Conclusion: These results build on a growing body of evidence that the political environment may have been influential for COVID-19 mortality, helping to understand the drivers of health outcomes. Implications for the public health system as we shift into the endemic period of COVID-19 include motivation for collaborative work to restore and rebuild trust among and between stakeholders and the community, as well as increase health education given its’ influence on both individual and community behaviors.
Methods All exposures and covariate data was publicly available. Mortality outcome data obtained through a data request for Colorado Department of Public Health and Environment. Data was organized into an Excel file for ease of use and analyzed in R.
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TwitterThis dataset tracks the updates made on the dataset "Colorado COVID-19 Positive Cases and Rates of Infection by County of Identification" as a repository for previous versions of the data and metadata.