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(Data1)_CountyLevelClustering.csv

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Figshare2020-11-24 更新2026-04-08 收录
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https://figshare.com/articles/dataset/_Data1_CountyLevelClustering_csv/12653012/1
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We collected county-level cumulative COVID-19 confirmed cases and death from Mar 25 to Nov 12, 2020, across the contiguous United States from <i>USAFacts</i> (usafacts.org). We considered Mar 25 to Jun 3 as the “1<sup>st</sup> wave”, Jun 4 to Sep 2 as the “2<sup>nd</sup> wave”, and Sep 3 to Nov 12 as the “3<sup>rd</sup> wave” of COVID-19. For the 2<sup>nd</sup> and 3<sup>rd</sup> waves, we analyzed the targeted counties in the sunbelt region (including AL, AZ, AR, CA, FL, GA, KS, LA, MS, NV, NM, NC, OK, SC, TX, TN, and UT states) and great plains region (including IA, IL, IN, KS, MI, MO, MN, ND, NE, OH, SD, and WI states), respectively. MIR, as a proxy for survival rate, is calculated by dividing the number of confirmed deaths in each county by the confirmed cases in the same county at the same time-period multiplied by 100. MIR ranges from 0%-100%, 100% indicating the worst situation where all confirmed cases have died. Thirty-eight potential risk factors (covariates), including county-level MR of comorbidities &amp; disorders, demographics &amp; social factors, and environmental factors, were retrieved from the <i>University of Washington Global Health Data Exchange</i> (http://ghdx.healthdata.org/us-data). Comorbidities and disorders include CVD, cardiomyopathy and myocarditis and myocarditis, hypertensive heart disease, peripheral vascular disease, atrial fibrillation, cerebrovascular disease, diabetes, hepatitis, HIV/AIDS, tuberculosis (TB), lower respiratory infection, interstitial lung disease and pulmonary sarcoidosis, asthma, COPD, ischemia, mesothelioma, tracheal cancer, leukemia, pancreatic cancer, rheumatic disease, drug use disorder, and alcohol use disorder. Demographics &amp; social factors include age, female African American%, female white American%, male African American%, male white American%, Asian%, smokers%, unemployed%, income rate, food insecurity, fair/poor health, and uninsured%. Environmental factors include county population density, air quality index (AQI), temperature, and PM. A descriptive table, including all potential risk factors, is provided in Table S1). <br>
提供机构:
Abolfazl Mollalo
创建时间:
2020-07-14
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