Selected article for: "case number and fatality risk"
Author: Reinhard German; Anatoli Djanatliev; Lisa Maile; Peter Bazan; Holger Hackstein
Title: Modeling Exit Strategies from COVID-19 Lockdown with a Focus on Antibody Tests
  • Document date: 2020_4_18
    • ID: fux10x0w_9
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.14.20063750 doi: medRxiv preprint A number of simulations with both approaches for the dynamics of COVID-19 have been published recently and are discussed in Sec. 2. These models describe the dynamics of the disease and the effects of certain interventions. For this purpose efforts have been undertaken to get important model parameters su.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.14.20063750 doi: medRxiv preprint A number of simulations with both approaches for the dynamics of COVID-19 have been published recently and are discussed in Sec. 2. These models describe the dynamics of the disease and the effects of certain interventions. For this purpose efforts have been undertaken to get important model parameters such as basic reproduction number, incubation period, case fatality risk, others cannot be accessed and must be estimated, e.g., percentage of contact rate reductions when interventions are implemented or the percentage of isolated cases. It is however clear that at this stage of the pandemic there are many uncertainties about these parameters, including the manifestation index, fatality rates as well as age-and risk-stratified numbers. In this paper we use those models as a reference in order to adequately model the disease dynamics, adapt them to current data and then add further aspects for investigating exit strategies based on a set of measures.

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