Forecast and visualization of the spread of SARS-CoV-2 at regional and local level
In the spring of 2020, SARS-CoV-2, the virus that causes COVID-19, spread around the world. Healthcare professionals and researchers have so far observed that the spread of infection often manifests itself in the form of local outbreaks, where an increased number of individuals living together in the same residential area develop COVID-19-related symptoms.
In order to prevent and mitigate such local outbreaks, also known as cluster outbreaks, it is essential that all those who develop COVID-19-related symptoms have the possibility to get tested as soon as possible so that contact tracing and isolation can be initiated. It is, nevertheless, extremely challenging to detect local outbreaks at an early stage. Meanwhile, disease surveillance using different metrics may enhance early detection and enable early interventions.
Informed by this challenge, the CRUSH Covid research project was created to find new ways of early detection of signals that indicate an increased infection transmission. Results are communicated weekly to local health authorities to provide the basis for directed, tailor-made interventions at a local level.