Sociodemographic predictors and transportation patterns of COVID-19 infection and mortality
| Autor: | Matthew Jelavic, Jason J Wang, Renee Pekmezaris, Xu Zhu, Roland Hentz, Martin Lesser |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Population social determinants 01 natural sciences Population density 03 medical and health sciences 0302 clinical medicine Epidemiology medicine Humans AcademicSubjects/MED00860 030212 general & internal medicine Social determinants of health 0101 mathematics education Socioeconomic status Minority Groups education.field_of_study SARS-CoV-2 business.industry Incidence Incidence (epidemiology) Mortality rate morbidity and mortality 010102 general mathematics Public Health Environmental and Occupational Health COVID-19 General Medicine United States Confidence interval Cross-Sectional Studies Original Article epidemiology business Demography |
| Zdroj: | Journal of Public Health (Oxford, England) |
| ISSN: | 1741-3850 1741-3842 |
| Popis: | BackgroundThe United States Centers for Disease Control and Prevention (CDC)-sanctioned prevention strategies have included frequent handwashing with soap and water, covering the mouth and nose with a mask when around others, cleaning and disinfecting maintaining a distance of at least 6 feet from others, etc. Although many of these recommendations are based upon observation and past infection control practices, it is important to combine and explore public data sets to identify predictors of infection, morbidity and mortality to develop more finely honed interventions, based on sociodemographic factors.MethodCross-sectional study of both states in the US and counties in NY state.ResultsPopulation density was found to be significantly associated with state-level coronavirus infection and mortality rate (b = 0.49, 95% confidence interval (CI): 0.34, 0.64, P ConclusionPopulation density was the only significant predictor of mortality across states in the USA. Lower mean age, lower median household incomes and more densely populated states were at higher risk of COVID-19 infection. Population density was not found to be a significant independent variable compared to minority status and socioeconomic factors in the New York epicenter. Meanwhile, public ridership was found to be a significant factor associated with incidence in New York counties. |
| Databáze: | OpenAIRE |
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