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Stefano Mosca

Biographic Data

ID7898677
NAMEStefano Mosca
GIVEN NAMESStefano
FAMILY NAMEMosca
SIGNATUREMOSCA S
AFFILIATIONSUniversity of Genoa
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • 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…

No prominent works on this page.

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

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae