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_2
Snippet: Article on modeling epidemic transition of COVID-19 have been published [1] [2] [3] [4] [5] [6] [7] [8] and based on the previous publication from China, South Korea, Iran, and Japan presented the estimation of epidemic trends and transmission rates [1] [2] [3] [4] [5] [6] [7] [8] . Through this research, we evaluated the consistency of the containment rules and identified possible SARS-CoV-2 local mutation using the S.E.I.R mathematical model. W.....
Document: Article on modeling epidemic transition of COVID-19 have been published [1] [2] [3] [4] [5] [6] [7] [8] and based on the previous publication from China, South Korea, Iran, and Japan presented the estimation of epidemic trends and transmission rates [1] [2] [3] [4] [5] [6] [7] [8] . Through this research, we evaluated the consistency of the containment rules and identified possible SARS-CoV-2 local mutation using the S.E.I.R mathematical model. We used the most representative epidemic parameters that occurred during the first half of March 2020 to predict the trend of infections. Therefore, to assess the effectiveness of the containment measures, it will signal the presence of a plausible evolutionary mutation. To do this, it will be sufficient to compare the general trend foreseen by the S.E.I.R. with the real Italian population.
Search related documents:
Co phrase search for related documents- containment measure and transmission rate: 1, 2
- epidemic parameter and general trend: 1
- epidemic parameter and italian population: 1
- epidemic parameter and mathematical model: 1, 2, 3, 4
- epidemic parameter and transmission rate: 1, 2, 3, 4, 5, 6
- epidemic transition and mathematical model: 1
Co phrase search for related documents, hyperlinks ordered by date