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10.1097/PHH.0000000000001361

http://scihub22266oqcxt.onion/10.1097/PHH.0000000000001361
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33762545!ä!33762545

suck abstract from ncbi


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pmid33762545      J+Public+Health+Manag+Pract 2021 ; 27 (3): 295-298
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  • Association of Age-Specific 2020 Florida COVID-19 Rates With Population Age Distribution and Presidential Preference #MMPMID33762545
  • Bernet P
  • J Public Health Manag Pract 2021[May]; 27 (3): 295-298 PMID33762545show ga
  • 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.
  • |*Cause of Death[MESH]
  • |*Politics[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Age Factors[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |COVID-19/epidemiology/*mortality/*psychology[MESH]
  • |Female[MESH]
  • |Florida/epidemiology[MESH]
  • |Hospitalization/*statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics/*statistics & numerical data[MESH]
  • |SARS-CoV-2[MESH]
  • |Socioeconomic Factors[MESH]


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