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Bradley Jermy

Datos Biográficos

ID5082405
NOMBREBradley Jermy
NOMBRESBradley
APELLIDOJermy
FIRMAJERMY B
AFILIACIONESUniversity of Helsinki
ORCID0000-0002-3188-9581
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS1
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2023
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H1
  • Nationwide health, socio-economic and genetic predictors of Covid-19 vaccination status in Finland

    Open Access•Tuomo Hartonen, Bradley Jermy et al.•ARTICLE•Nature Human Behaviour•2023•Citada por: 1•Referencias: 44

    Understanding factors associated with COVID-19 vaccination can highlight issues in public health systems. Using machine learning, we considered the effects of 2,890 health, socio-economic and demographic factors in the entire Finnish population aged 30–80 and genome-wide information from 273,765 individuals. The strongest predictors of vaccination status were labour income and medication purchase history. Mental health conditions and having unvac…

  • Nationwide health, socio-economic and genetic predictors of Covid-19 vaccination status in Finland

    Open Access•Tuomo Hartonen, Bradley Jermy et al.•ARTICLE•Nature Human Behaviour•2023•Citada por: 1•Referencias: 44

    Understanding factors associated with COVID-19 vaccination can highlight issues in public health systems. Using machine learning, we considered the effects of 2,890 health, socio-economic and demographic factors in the entire Finnish population aged 30–80 and genome-wide information from 273,765 individuals. The strongest predictors of vaccination status were labour income and medication purchase history. Mental health conditions and having unvac…

  • Nationwide health, socio-economic and genetic predictors of Covid-19 vaccination status in Finland

    Open Access•Tuomo Hartonen, Bradley Jermy et al.•ARTICLE•Nature Human Behaviour•2023•Citada por: 1•Referencias: 44

    Understanding factors associated with COVID-19 vaccination can highlight issues in public health systems. Using machine learning, we considered the effects of 2,890 health, socio-economic and demographic factors in the entire Finnish population aged 30–80 and genome-wide information from 273,765 individuals. The strongest predictors of vaccination status were labour income and medication purchase history. Mental health conditions and having unvac…

2019-20 coronavirus outbreak (1 obras) · Demography (1 obras) · Disease (1 obras) · Environmental health (1 obras) · Influenza Virus Research Studies (1 obras) · Medicine (1 obras) · Outbreak (1 obras) · Pathology (1 obras) · SARS-CoV-2 and COVID-19 Research (1 obras) · Sociology (1 obras)

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