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ETHNOS_APP

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Tamar Abzhandadze

Dados Biográficos

ID7754707
NOMETamar Abzhandadze
PRENOMESTamar
SOBRENOMEAbzhandadze
ASSINATURAABZHANDADZE T
AFILIAÇÕESKarolinska Institutet
ORCID0000-0002-0069-6875
VERIFICADOSim
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2023
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • Trajectories of mental health outcomes following Covid-19 infection

    Open Access•Farzaneh Badinlou, Fatemeh Rahimian et al.•ARTICLE•BMC Public Health•2024

    The findings of our study suggest that mental health outcomes following COVID-19 infection exhibit a dynamic pattern over time. The study provides valuable insights into the mental health trajectory following COVID-19 infection, emphasizing the need for ongoing assessment, support, and interventions tailored to the evolving mental health needs of this population

  • Impact of pre-pandemic sick leave diagnoses on the length of Covid-19-related sick leave

    Open Access•Tamar Abzhandadze, Emma Westerlind et al.•ARTICLE•BMC Public Health•2023

    The results of this nationwide registry-based study indicate that individuals with premorbid conditions are more prone to longer sick leave durations due to COVID-19. Prediction of sick leave duration during the first wave of the COVID-19 pandemic is complex and several factors played a role

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  • Impact of pre-pandemic sick leave diagnoses on the length of Covid-19-related sick leave

    Open Access•Tamar Abzhandadze, Emma Westerlind et al.•ARTICLE•BMC Public Health•2023

    The results of this nationwide registry-based study indicate that individuals with premorbid conditions are more prone to longer sick leave durations due to COVID-19. Prediction of sick leave duration during the first wave of the COVID-19 pandemic is complex and several factors played a role

  • Trajectories of mental health outcomes following Covid-19 infection

    Open Access•Farzaneh Badinlou, Fatemeh Rahimian et al.•ARTICLE•BMC Public Health•2024

    The findings of our study suggest that mental health outcomes following COVID-19 infection exhibit a dynamic pattern over time. The study provides valuable insights into the mental health trajectory following COVID-19 infection, emphasizing the need for ongoing assessment, support, and interventions tailored to the evolving mental health needs of this population

COVID-19 and Mental Health (2 obras) · Epidemiology (2 obras) · Internal Medicine (2 obras) · Long-Term Effects of COVID-19 (2 obras) · Medicine (2 obras) · Anxiety (1 obras) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 obras) · Biostatistics (1 obras) · Climate Change and Health Impacts (1 obras) · Clinical Psychology (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