The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Simulation of SIR Model
|
|
Copyright: 2023
Pages: 11
Source title:
Controlling Epidemics With Mathematical and Machine Learning Models
Source Author(s)/Editor(s): Abraham Varghese (University of Technology and Applied Sciences, Muscat, Oman), Eduardo M. Lacap, Jr. (University of Technology and Applied Sciences, Muscat, Oman), Ibrahim Sajath (University of Technology and Applied Sciences, Muscat, Oman), M. Kamal Kumar (University of Technology and Applied Sciences, Muscat, Oman) and Shajidmon Kolamban (University of Technology and Applied Sciences, Muscat, Oman)
DOI: 10.4018/978-1-7998-8343-2.ch004
Purchase
|
Abstract
There is considerable discussion in the healthcare community around the world regarding many possible strategies to minimize the impact of the new coronavirus (COVID-19). Modeling and simulations are useful tools for estimating key parameters of transmission and for subsequent improvements in its management. Taking action at this early stage would allow policymakers to take appropriate remedial steps in order to limit the dreadful impact of the disease in the future. The aim of this chapter is to show how to simulate the SIR compartmental model and to estimate the parameters for knowing the status of the disease using real data with the help of matlab.
Related Content
|
.
© 2023.
12 pages.
|
|
.
© 2023.
43 pages.
|
|
.
© 2023.
29 pages.
|
|
.
© 2023.
11 pages.
|
|
.
© 2023.
23 pages.
|
|
.
© 2023.
26 pages.
|
|
.
© 2023.
48 pages.
|
|
|