About the Digital Infectious Disease Preparedness

Digital Infectious Disease Preparedness contributes to fighting infectious diseases by collecting data and making these data available in a timely manner for use in surveillance and outbreak control.

Digital Infectious Disease Preparedness comprises, among others, the operation and development of the Danish Microbiology Database (MiBa) and associated automated surveillance systems for, e.g., COVID-19, influenza and healthcare-associated infections. Furthermore, the preparedness supports a wide range of tasks and services related to digital infection control, e.g., the coronapas (coronavirus certificate), display of laboratory results to healthcare professionals, citizens, and for infection control purposes.

The preparedness service contributes to the national fight against infectious diseases by organizing information on microorganisms and antimicrobial resistance as timely, detailed, and completely as possible, combining them with other data and effectively conveying relevant information to national and international authorities.

MiBa and the automated surveillance systems form the foundation for a dynamic and flexible infection preparedness service that quickly adapts when new infectious diseases arise and scales up as diseases come to pose a greater threat to society.

The core tasks of Digital Infectious Disease Preparedness are to:

  • Collect, process and handle data on infectious diseases, thereby allowing these data to be used in Danish healthcare and for research purposes.
  • Couple surveillance data with other data sources and develop algorithms for automated analyses and data estimates.
  • Develop statistics and reports on the spread of infection, hospital admissions, healthcare-associated infections, risk factors, etc. for authorities and healthcare personnel.
  • Disseminate data to the public by providing data files and presenting data in graphs and interactive dashboards, among others.

Digital Infectious Disease Preparedness is anchored in the department of Data Integration and Analysis (DIAS) at Statens Serum Institut (SSI).