Author: Igor Nesteruk
Title: Long-term predictions for COVID-19 pandemic dynamics in Ukraine, Austria and Italy Document date: 2020_4_11
ID: hmem8se3_43
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.04.08.20058123 doi: medRxiv preprint enough observations may eliminate the influence of the initial stage data and increase the accuracy of predictions. Even at limited amount of data the SIR model can be used to estimate the final size of an epidemic and its duration. The further course of COVID-19 pandemic in Ukraine, Austria and Italy will sh.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.04.08.20058123 doi: medRxiv preprint enough observations may eliminate the influence of the initial stage data and increase the accuracy of predictions. Even at limited amount of data the SIR model can be used to estimate the final size of an epidemic and its duration. The further course of COVID-19 pandemic in Ukraine, Austria and Italy will show the real accuracy of the proposed method.
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