Author: Raj Dandekar; George Barbastathis
Title: Quantifying the effect of quarantine control in Covid-19 infectious spread using machine learning Document date: 2020_4_6
ID: 222c1jzv_13
Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.03.20052084 doi: medRxiv preprint A comparative analysis of the quarantine strength function Q(t) learned by the neural network for different countries reveals that Wuhan had the highest magnitude and South Korea had the highest growth rate of Q(t). This can be attributed to the stringent government interventions and strict public health measures including immediate isolatio.....
Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.03.20052084 doi: medRxiv preprint A comparative analysis of the quarantine strength function Q(t) learned by the neural network for different countries reveals that Wuhan had the highest magnitude and South Korea had the highest growth rate of Q(t). This can be attributed to the stringent government interventions and strict public health measures including immediate isolation and quarantine impositions in Wuhan and South Korea. This eventually resulted in the halting of infection spread and a corresponding R t < 1 within a month for Wuhan ( Figure 2c ) and within 20 days for South Korea (figure 6c) after the first signs of a pandemic were recognized.
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