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Electronic reporting of diagnostic laboratory test results from all healthcare sectors is a cornerstone of national preparedness and control of COVID-19 in Denmark.
Schønning, Kristian; Dessau, Ram Benny; Jensen, Thøger Gorm; Thorsen, Nicklas Myrthue; Wiuff, Camilla; Nielsen, Lene; Gubbels, Sophie; Denwood, Matt; Thygesen, Uffe Høgsbro; Christensen, Lasse Engbo; Møller, Camilla Holten; Møller, Jens Kjølseth; Ellermann-Eriksen, Svend; Østergaard, Christian; Lam, Janni Uyen Hoa; Abushalleeh, Nour; Meaidi, Marianna; Olsen, Stefan; Mølbak, Kåre; Voldstedlund, Marianne.
  • Schønning K; Department of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
  • Dessau RB; Department of Clinical Microbiology, Zealand University Hospital, Slagelse, Denmark.
  • Jensen TG; Department of Clinical Microbiology, Odense University Hospital and Clinical Microbiology Research Unit, University of Southern Denmark, Odense, Denmark.
  • Thorsen NM; Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
  • Wiuff C; Department of Clinical Microbiology, The Hospital of South West Jutland, University Hospital of Southern Denmark, Odense, Denmark.
  • Nielsen L; Department of Clinical Microbiology, Copenhagen University Hospital Herlev and Gentofte Hospital, Copenhagen, Denmark.
  • Gubbels S; Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
  • Denwood M; Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark.
  • Thygesen UH; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark.
  • Christensen LE; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark.
  • Møller CH; Expert Group on Mathematical Modeling of COVIDd-19 Infectious Disease Preparedness Statens Serum Institut, Copenhagen S, Denmark.
  • Møller JK; Department of Clinical Microbiology, Vejle Hospital, Vejle, Denmark.
  • Ellermann-Eriksen S; Department of Clinical Microbiology, Aarhus University Hospital, Aarhus N, Denmark.
  • Østergaard C; Department of Clinical Microbiology, Copenhagen University Hospital, Hvidovre, Denmark.
  • Lam JUH; Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
  • Abushalleeh N; Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
  • Meaidi M; Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
  • Olsen S; Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
  • Mølbak K; Data Integration and Analysis, Division of Infection Preparedness, Statens Serum Institut, Copenhagen S, Denmark.
  • Voldstedlund M; Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark.
APMIS ; 129(7): 438-451, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1291686
ABSTRACT
The COVID-19 pandemic has led to an unprecedented demand for real-time surveillance data in order to inform critical decision makers regarding the management of the pandemic. The aim of this review was to describe how the Danish national microbiology database, MiBa, served as a cornerstone for providing data to the real-time surveillance system by linkage to other nationwide health registries. The surveillance system was established on an existing IT health infrastructure and a close network between clinical microbiologists, information technology experts, and public health officials. In 2020, testing capacity for SARS-CoV-2 was ramped up from none to over 10,000 weekly PCR tests per 100,000 population. The crude incidence data mirrored this increase in testing. Real-time access to denominator data and patient registries enabled adjustments for fluctuations testing activity, providing robust data on crude SARS-CoV-2 incidence during the changing diagnostic and management strategies. The use of the same data for different purposes, for example, final laboratory reports, information to the public, contact tracing, public health, and science, has been a critical asset for the pandemic response. It has also raised issues concerning data protection and critical capacity of the underlying technical systems and key resources. However, even with these limitations, the setup has enabled decision makers to adopt timely interventions. The experiences from COVID-19 may motivate a transformation from traditional indicator-based public health surveillance to an all-encompassing information system based on access to a comprehensive set of data sources, including diagnostic and reference microbiology.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Qualitative research Limits: Humans Country/Region as subject: Europa Language: English Journal: APMIS Journal subject: Allergy and Immunology / Microbiology / Pathology Year: 2021 Document Type: Article Affiliation country: Apm.13140

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Qualitative research Limits: Humans Country/Region as subject: Europa Language: English Journal: APMIS Journal subject: Allergy and Immunology / Microbiology / Pathology Year: 2021 Document Type: Article Affiliation country: Apm.13140