Selected article for: "analysis section and sensitivity analysis"
Author: ibrahim Halil Aslan; Mahir Demir; Michael Morgan Wise; Suzanne Lenhart
Title: Modeling COVID-19: Forecasting and analyzing the dynamics of the outbreak in Hubei and Turkey
  • Document date: 2020_4_15
    • ID: fsjze3t2_36
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.11.20061952 doi: medRxiv preprint When we reduce the quarantine rate, s q from 0.096 to 0.0864 (10% reduction) and do not change the remaining parameters, the number of cases and deaths would be about 141090 and 6562, respectively. Similarly, when we increase the quarantine rate, s q from 0.096 to 0.1056 (10% increase), the number of case.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.11.20061952 doi: medRxiv preprint When we reduce the quarantine rate, s q from 0.096 to 0.0864 (10% reduction) and do not change the remaining parameters, the number of cases and deaths would be about 141090 and 6562, respectively. Similarly, when we increase the quarantine rate, s q from 0.096 to 0.1056 (10% increase), the number of cases and deaths would be about 39334 and 1829, respectively. Thus, any change in the quarantine rate makes very significant change in total number of cases and deaths. Furthermore, see the sensitivity analysis section below, the quarantine rate is a significant parameter in the dynamics of the outbreak as well as its efficiency, which is explained by the parameter, r is also significant in the dynamic of the outbreak.

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