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ETHNOS_APP

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Stefano Mosca

Dados Biográficos

ID7898677
NOMEStefano Mosca
PRENOMESStefano
SOBRENOMEMosca
ASSINATURAMOSCA S
AFILIAÇÕESUniversity of Genoa
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2021
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…

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  • 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 • 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