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SARS-CoV-2 pandemic dynamics and infection tracing in Denmark
SARS-CoV-2 pandemic dynamics and infection tracing in Denmark
We model and simulate the COVID-19 infection andhealthcare dynamics in Denmark from the onset till March 5,2021. The simulation is matched and calibrated to hospitaland death data as well as antibody population measurement.In this work we focus on comparing the time evolution of theestimated infection level with the daily identified infected individuals based on the national testing and contact tracingprogram. We find that the national testing program on average identifies 1/3 of the infected individuals July 1, 2020 -March 5, 2021. Our investigations indicate the current program does not have a proper balance between random probing, focused contact tracing, and testing prioritization. Toomuch of the program operates as a semi-random daily sampling of part of the population. We propose a policy with afocus on local infection tracing and interventions.
- University of Southern Denmark Denmark
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- University of Southern Denmark Denmark
We model and simulate the COVID-19 infection andhealthcare dynamics in Denmark from the onset till March 5,2021. The simulation is matched and calibrated to hospitaland death data as well as antibody population measurement.In this work we focus on comparing the time evolution of theestimated infection level with the daily identified infected individuals based on the national testing and contact tracingprogram. We find that the national testing program on average identifies 1/3 of the infected individuals July 1, 2020 -March 5, 2021. Our investigations indicate the current program does not have a proper balance between random probing, focused contact tracing, and testing prioritization. Toomuch of the program operates as a semi-random daily sampling of part of the population. We propose a policy with afocus on local infection tracing and interventions.