Author: Semu Kassa; Hatson John Boscoh Njagarah; Yibeltal Adane Terefe
Title: Analysis of the mitigation strategies for COVID-19: from mathematical modelling perspective Document date: 2020_4_18
ID: celjbnt3_38
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.15.20066308 doi: medRxiv preprint Analysis of the mitigation strategies for COVID -19 increases. On the other hand, processes underlying the parameters with negative PRCCs have a 306 potential to contain of the number of cases when enhanced. The results of sensitivity analysis 307 are indicated in Figure 3 (a) and the box plot (Figure 3(b.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.15.20066308 doi: medRxiv preprint Analysis of the mitigation strategies for COVID -19 increases. On the other hand, processes underlying the parameters with negative PRCCs have a 306 potential to contain of the number of cases when enhanced. The results of sensitivity analysis 307 are indicated in Figure 3 (a) and the box plot (Figure 3(b) ) gives the five-number summary for the 308 computed disease threshold value from the sampled parameter space. Table 3 . The processes underlying the parameters β 1 , β 2 , ε and ξ have the greatest potential of making the epidemic worse if increased, whereas processes described by ψ and h have the greatest potential of containing the epidemic when enhanced.
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