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Hanna Sõnajalg

Dados Biográficos

ID5082406
NOMEHanna Sõnajalg
PRENOMESHanna
SOBRENOMESõnajalg
ASSINATURASÕNAJALG H
AFILIAÇÕESUniversity of Tartu
VERIFICADONão
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2023
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1
  • Bidirectional associations between chronic diseases and Long Covid

    Open Access•Hanna Sõnajalg, Martti Vanker et al.•ARTICLE•Frontiers in Public Health•2026

    Background Long COVID has been associated with an increased incidence of chronic diseases, including type 2 diabetes (T2D), which has been suggested to have a bidirectional relationship with COVID-19. We examined these associations in a population-based cohort. Methods Chronic non-communicable diseases (NCDs) diagnosed before (2010–2019) or after (2021–2023) the COVID-19 pandemic onset were tested for associations with Long COVID among Estonian B…

  • 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…

  • 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…

  • 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…

  • Bidirectional associations between chronic diseases and Long Covid

    Open Access•Hanna Sõnajalg, Martti Vanker et al.•ARTICLE•Frontiers in Public Health•2026

    Background Long COVID has been associated with an increased incidence of chronic diseases, including type 2 diabetes (T2D), which has been suggested to have a bidirectional relationship with COVID-19. We examined these associations in a population-based cohort. Methods Chronic non-communicable diseases (NCDs) diagnosed before (2010–2019) or after (2021–2023) the COVID-19 pandemic onset were tested for associations with Long COVID among Estonian B…

2019-20 coronavirus outbreak (1 obras) · Asthma (1 obras) · Chronic Obstructive Pulmonary Disease (COPD) Research (1 obras) · Cohort (1 obras) · Comorbidity (1 obras) · COPD (1 obras) · COVID-19 Clinical Research Studies (1 obras) · Demography (1 obras) · Disease (1 obras) · Environmental health (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