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Hanna M Ollila

Dados Biográficos

ID5082411
NOMEHanna M Ollila
PRENOMESHanna M
SOBRENOMEOllila
ASSINATURAOLLILA H M
AFILIAÇÕESBroad Institute
ORCID0000-0002-5302-6429
VERIFICADOSim
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2018
ANO MAIS RECENTE DE PUBLICAÇÃO2023
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•Referências: 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…

  • A Longitudinal Study of Predictors for Adolescent Electronic Cigarette Experimentation and Comparison with Conventional Smoking

    Open Access•Jaana M Kinnunen, Hanna M Ollila et al.•ARTICLE•International Journal of…•2018

    Little is known of the predictors of electronic cigarette (e-cigarette) use among adolescents, even though the use is increasing. We studied here the predictors for e-cigarette experimentation (tried and tried more than twice) and compared them with predictors for conventional smoking. A baseline school survey was conducted in the Helsinki metropolitan area, Finland, in 2011 for seventh graders (12 to 13-year-olds). Response rate was 73%. The sam…

  • 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•Referências: 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…

  • A Longitudinal Study of Predictors for Adolescent Electronic Cigarette Experimentation and Comparison with Conventional Smoking

    Open Access•Jaana M Kinnunen, Hanna M Ollila et al.•ARTICLE•International Journal of…•2018

    Little is known of the predictors of electronic cigarette (e-cigarette) use among adolescents, even though the use is increasing. We studied here the predictors for e-cigarette experimentation (tried and tried more than twice) and compared them with predictors for conventional smoking. A baseline school survey was conducted in the Helsinki metropolitan area, Finland, in 2011 for seventh graders (12 to 13-year-olds). Response rate was 73%. The sam…

  • 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•Referências: 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…

Demography (2 obras) · Environmental health (2 obras) · Medicine (2 obras) · 2019-20 coronavirus outbreak (1 obras) · Addiction (1 obras) · Behavioral Health and Interventions (1 obras) · Cigarette smoking (1 obras) · Demography (1 obras) · Disease (1 obras) · Electronic cigarette (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae