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Amirreza Najafi

Datos Biográficos

ID7960490
NOMBREAmirreza Najafi
NOMBRESAmirreza
APELLIDONajafi
FIRMANAJAFI A
AFILIACIONESTarbiat Modares University
ORCID0000-0002-8617-5463
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H0
  • Evaluation of Covid-19 pandemic on components of social and mental health using machine learning, analysing United States data in 2020

    Open Access•Seyed-Ali Sadegh-Zadeh, Mahboobe Bahrami et al.•ARTICLE•Frontiers in Psychiatry•2022

    This study estimates the occurrence of mental illness among adults with and without a history of mental disease during the COVID-19 preventative limitations. With the persistence of quarantine limitations, the prevalence of psychiatric issues grew. In the third survey, which was done under quarantine or house restrictions, mental health problems and acute stress reactions were substantially greater than in the prior two surveys. The findings of t…

Sin obras prominentes en esta página.

  • Evaluation of Covid-19 pandemic on components of social and mental health using machine learning, analysing United States data in 2020

    Open Access•Seyed-Ali Sadegh-Zadeh, Mahboobe Bahrami et al.•ARTICLE•Frontiers in Psychiatry•2022

    This study estimates the occurrence of mental illness among adults with and without a history of mental disease during the COVID-19 preventative limitations. With the persistence of quarantine limitations, the prevalence of psychiatric issues grew. In the third survey, which was done under quarantine or house restrictions, mental health problems and acute stress reactions were substantially greater than in the prior two surveys. The findings of t…

Computer Science (1 obras) · Coronavirus disease 2019 (COVID-19 (1 obras) · COVID-19 and Mental Health (1 obras) · Digital Mental Health Interventions (1 obras) · Disease (1 obras) · Environmental health (1 obras) · Gerontology (1 obras) · Logistic regression (1 obras) · Machine learning (1 obras) · Medicine (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae