Association of Age-Specific 2020 Florida COVID-19 Rates With Population Age Distribution and Presidential Preference
Autor: | Patrick M. Bernet |
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Rok vydání: | 2021 |
Předmět: |
Adult
Male Adolescent Coronavirus disease 2019 (COVID-19) Population Young Adult 03 medical and health sciences 0302 clinical medicine Cause of Death Pandemic Humans Medicine 030212 general & internal medicine Young adult education Pandemics Socioeconomic status Aged Cause of death Aged 80 and over education.field_of_study 030505 public health SARS-CoV-2 business.industry Health Policy Mortality rate Politics Age Factors Public Health Environmental and Occupational Health COVID-19 Emergency department Middle Aged Hospitalization Socioeconomic Factors Florida Female 0305 other medical science business Demography |
Zdroj: | Journal of Public Health Management and Practice. 27:295-298 |
ISSN: | 1078-4659 |
DOI: | 10.1097/phh.0000000000001361 |
Popis: | OBJECTIVE: To assess whether county age distribution is associated with age-specific COVID-19 infection, emergency department, hospitalization, and mortality rates. DESIGN: Florida's 2020 COVID-19 cases are summarized into age-specific county rates and supplemented with socioeconomic and demographic characteristics and 2020 presidential voting results to assess the association of population age structure and political choices with age-specific COVID-19 infection, emergency, hospitalization, and mortality rates. RESULTS: Younger counties experienced higher under-25 infection rates, as well as higher over-64 infection, emergency, and hospitalization rates. Older counties experienced reduced infection rates for all ages and decreased over-64 emergency and hospitalization rates. Trump's vote share was associated with higher infection rates for all and higher over-64 emergency, hospitalization, and mortality rates. CONCLUSIONS: Younger counties experience higher COVID-19 infection rates for all residents, with elevated morbidity risks among seniors. Older counties had lower COVID-19 infection, emergency, and hospitalization rates. Age-specific messaging may help slow pandemic spread. |
Databáze: | OpenAIRE |
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