Model-based data-driven optimization tools for proactive epidemiological interventions

Purpose and goal The project aims to develop an innovative information technological software (MoVIn) that predicts local clusters of transmission of Covid-19, by filtering and merging several different data-sources. MoVIn is part of a larger project, CRUSH-Covid, that based on MoVIn results will present regular reports to the regional Covid task force for them to decide upon local interventions to curb transmission routes. CRUSH-Covid will continuously monitor the effect of interventions and spread of Covid-19 on both a local and regional level Expected results and effects Local interventions guided by our prediction tool will detect Covid-19 clusters earlier, stopping transmission routes which hopefully will result in fewer admissions to hospital. The enhanced monitoring will increase testing in neighbourhoods with low testing per capita and high incidence of admission to hospital due to Covid-19. The MoVin software will be designed to be used in other regions nationally and internationally not only for the Covid-19 pandemic, but also for future epi- or pandemics . Planned approach and implementation The development of MoVIn started in September 2020. Monitoring and interventions will start in October 2020. At the same time participants in CRUSH Covid will be recruited by the test units. Participants will in a questionnaire be asked about health and socio-economic factors. Those that test positive for Covid-19 will be regularly followed-up via their medical protocols and interviews until they are free from symptoms. A first report and publication is planned in the beginning of 2021.