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Maren von Köckritz‐Blickwede

Datos Biográficos

ID8317281
NOMBREMaren von Köckritz‐Blickwede
NOMBRESMaren
APELLIDOvon Köckritz‐Blickwede
FIRMABLICKWEDE M K
AFILIACIONESUniversity of Veterinary Medicine Hannover, Foundation
ORCID0000-0001-7712-9767
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H0
  • Canine real-time detection of Sars-CoV-2 infections in the context of a mass screening event

    Open Access•Nele Alexandra ten Hagen, Friederike Twele et al.•ARTICLE•BMJ Global Health•2022

    INTRODUCTION: Previous research demonstrated that medical scent detection dogs have the ability to distinguish SARS-CoV-2 positive from negative samples with high diagnostic accuracy. To deploy these dogs as a reliable screening method, it is mandatory to examine if canines maintain their high diagnostic accuracy in real-life screening settings. We conducted a study to evaluate the performance of medical scent detection dogs under real-life circu…

Sin obras prominentes en esta página.

  • Canine real-time detection of Sars-CoV-2 infections in the context of a mass screening event

    Open Access•Nele Alexandra ten Hagen, Friederike Twele et al.•ARTICLE•BMJ Global Health•2022

    INTRODUCTION: Previous research demonstrated that medical scent detection dogs have the ability to distinguish SARS-CoV-2 positive from negative samples with high diagnostic accuracy. To deploy these dogs as a reliable screening method, it is mandatory to examine if canines maintain their high diagnostic accuracy in real-life screening settings. We conducted a study to evaluate the performance of medical scent detection dogs under real-life circu…

Biology (1 obra) · COVID-19 diagnosis using AI (1 obra) · Disease (1 obra) · Environmental health (1 obra) · Immunology (1 obra) · Internal Medicine (1 obra) · Medicine (1 obra) · Population (1 obra) · SARS-CoV-2 and COVID-19 Research (1 obra) · SARS-CoV-2 detection and testing (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