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Stefano Mosca

Datos Biográficos

ID7898677
NOMBREStefano Mosca
NOMBRESStefano
APELLIDOMosca
FIRMAMOSCA S
AFILIACIONESUniversity of Genoa
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0
  • Seroprevalence of Sars-CoV-2 in a Large Cohort of Italian Police Officers

    Open Access•Sergio Garbarino, Alexander Domnich et al.•ARTICLE•International Journal of…•2021

    Certain professional categories are at a high occupational exposure to COVID-19. The aim of this survey was to quantify the seroprevalence of SARS-CoV-2 among police officers in Italy and identify its correlates. In this cross-sectional study, a nationally representative sample of State police employees was tested for IgG and IgM before the start of the National vaccination campaign. A total of 10,535 subjects (approximately 10% of the total work…

Sin obras prominentes en esta página.

  • Seroprevalence of Sars-CoV-2 in a Large Cohort of Italian Police Officers

    Open Access•Sergio Garbarino, Alexander Domnich et al.•ARTICLE•International Journal of…•2021

    Certain professional categories are at a high occupational exposure to COVID-19. The aim of this survey was to quantify the seroprevalence of SARS-CoV-2 among police officers in Italy and identify its correlates. In this cross-sectional study, a nationally representative sample of State police employees was tested for IgG and IgM before the start of the National vaccination campaign. A total of 10,535 subjects (approximately 10% of the total work…

Antibody (1 obra) · Asymptomatic (1 obra) · Cohort (1 obra) · COVID-19 Clinical Research Studies (1 obra) · Cross-sectional study (1 obra) · Demography (1 obra) · Demography (1 obra) · Environmental health (1 obra) · Epidemiology (1 obra) · Immunology (1 obra)

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