Author: Patrick Jenny; David F Jenny; Hossein Gorji; Markus Arnoldini; Wolf-Dietrich Hardt
Title: Dynamic Modeling to Identify Mitigation Strategies for Covid-19 Pandemic Document date: 2020_3_30
ID: ngsstnpr_51
Snippet: It remains to be emphasized that no claims are made regarding the quantitative accuracy of the presented model predictions, but it can be expected that the qualitative dynamic behavior and the tendencies are captured well. For further improvements of the predictions a more reliable data base for parameter tuning would be necessary. The model itself can be refined by accounting for different age groups and latency, which would involve additional p.....
Document: It remains to be emphasized that no claims are made regarding the quantitative accuracy of the presented model predictions, but it can be expected that the qualitative dynamic behavior and the tendencies are captured well. For further improvements of the predictions a more reliable data base for parameter tuning would be necessary. The model itself can be refined by accounting for different age groups and latency, which would involve additional parameters. In the future it would be of utmost interest to further investigate combined strategies with e.g. social distancing for old and endangered persons and high rate testing for the remaining population, including the work force.
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