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10.1186/s13756-021-00971-2

http://scihub22266oqcxt.onion/10.1186/s13756-021-00971-2
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34215330!8249834!34215330
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suck abstract from ncbi


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pmid34215330      Antimicrob+Resist+Infect+Control 2021 ; 10 (1): 102
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  • Development of a web-based contact tracing and point-of-care-testing workflow for SARS-CoV-2 at a German University Hospital #MMPMID34215330
  • Zirbes J; Sterr CM; Steller M; Dapper L; Nonnenmacher-Winter C; Gunther F
  • Antimicrob Resist Infect Control 2021[Jul]; 10 (1): 102 PMID34215330show ga
  • INTRODUCTION: In late 2019, a novel coronavirus was detected in China. Supported by its respiratory transmissibility, even by people infected without symptomatic disease, this coronavirus soon began to rapidly spread worldwide. BACKGROUND: Many countries have implemented different infection control and containment strategies due to ongoing community transmission. In this context, contact tracing as well as adequate testing and consequent quarantining of high-risk contacts play leading roles in containing the virus by interrupting infection chains. This approach is especially important in the hospital setting where contacts often cannot be avoided and physical distance is usually not possible. Furthermore, health care workers (HCWs) usually have contact with a variety of vulnerable people, making it essential to identify infections among hospital employees as soon as possible to interrupt the rapid spread of SARS-CoV-2 in the facility. Several electronic tools for contact tracing, such as specific software or mobile phone apps, are available for the public health sector. In contrast, contact tracing in hospitals often has to be carried out without helpful electronic tools, and an enormous amount of human resources is typically required. AIM: For rapid contact tracing and effective infection control and management measures for HCWs in hospitals, adapted technical solutions are needed. METHODS: In this study, we report the development of our containment strategy to a web-based contact tracing and rapid point-of-care-testing workflow. RESULTS/CONCLUSION: Our workflow yielded efficient control of the rapidly evolving situation during the SARS-CoV-2 pandemic from May 2020 until January 2021 at a German University Hospital.
  • |*Computer Communication Networks[MESH]
  • |*Infectious Disease Transmission, Patient-to-Professional[MESH]
  • |*Pandemics[MESH]
  • |*Point-of-Care Testing[MESH]
  • |*SARS-CoV-2[MESH]
  • |COVID-19 Nucleic Acid Testing/*methods[MESH]
  • |COVID-19/epidemiology/*transmission[MESH]
  • |Contact Tracing/*methods[MESH]
  • |Germany/epidemiology[MESH]
  • |Hospitals, University[MESH]
  • |Humans[MESH]
  • |Infection Control/methods[MESH]
  • |Infectious Disease Transmission, Professional-to-Patient/prevention & control[MESH]
  • |Mobile Applications[MESH]
  • |Personnel, Hospital[MESH]
  • |Real-Time Polymerase Chain Reaction[MESH]
  • |Retrospective Studies[MESH]
  • |Seasons[MESH]
  • |Software[MESH]


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