Author: Alessandro Rovetta; Akshaya Srikanth Bhagavathula
Title: Modelling the epidemiological trend and behavior of COVID-19 in Italy Document date: 2020_3_23
ID: 05m50voc_20
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.19.20038968 doi: medRxiv preprint · the mortality rate in Italy is too low to be significant in the short term [8] , · young children appear to have a secondary role in the spread of the infection [8] [17], We will investigate the possible scenarios through S.E.I.R. model. Using the discretization carried out in the previous study "Math.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.19.20038968 doi: medRxiv preprint · the mortality rate in Italy is too low to be significant in the short term [8] , · young children appear to have a secondary role in the spread of the infection [8] [17], We will investigate the possible scenarios through S.E.I.R. model. Using the discretization carried out in the previous study "Mathematical-statistical modeling of COVID-19 on the restricted population" [8] , a new C++ software was created to print the values of the S.E.I.R. day by day until a specific date and/or situation (2) . However, unlike the aforementioned study, the prediction period will be extended to a certain number of days in order to verify the effectiveness of the containment measures in Italy.
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