dc.contributor.advisor | Esmaeily, Amir Sajad | en |
dc.contributor.author | Chavan, Neeraj Waman | |
dc.date.accessioned | 2021-04-28T19:14:40Z | |
dc.date.available | 2021-04-28T19:14:40Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Chavan, N.W. (2020). Understanding the spread of coronavirus (COVID-19) In ireland using S-I-R model and logistic growth function. Masters Thesis, Dublin Business School. | en |
dc.identifier.uri | https://esource.dbs.ie/handle/10788/4238 | |
dc.description.abstract | The novel coronavirus, formerly called 2019-nCoV, or SARS-CoV-2 by ICTV (severe acute
respiratory syndrome coronavirus2, by the International Committee on Taxonomy of Viruses)
caused an outbreak of atypical pneumonia, now officially called COVID-19 by WHO (World
Health Organization) first in Wuhan, the capital city of Hubei province in December, 2019
and then rapidly spread out in the whole country of China [1].
This research aims at exploring the propagation of COVID-19 using S-I-R model and
the mathematical Logistic Growth Function and to understand the spread and propagation
of COVID-19 in Ireland, from the date of the outbreak, i.e. 29th of February 2020 [2]. The
purpose of this research is to analyse the propagation of COVID-19 in Ireland and Sweden
through the compartmental S-I-R model and to forecast the same using a general growth
model based the Logistic Growth Fuction, as it varies over a period. | en |
dc.language.iso | en | en |
dc.publisher | Dublin Business School | en |
dc.rights | Items in eSource are protected by copyright. Previously published items are made available in accordance with the copyright policy of the publisher/copyright holder. | en |
dc.rights.uri | http://esource.dbs.ie/copyright | en |
dc.subject | COVID-19 Pandemic, 2020- | en |
dc.subject | Epidemiology | en |
dc.title | Understanding the spread of coronavirus (COVID-19) In ireland using S-I-R model and logistic growth function | en |
dc.type | Thesis | en |
dc.rights.holder | Copyright: The publisher | en |
dc.type.degreename | MSc in Data Analytics | en |
dc.type.degreelevel | MSc | en |