The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Epidemiology Models
|
|
Copyright: 2023
Pages: 12
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.ch001
Purchase
|
Abstract
Epidemic infectious diseases are occurring more often and spreading faster and farther than ever in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and a vaccination, is also playing an important role in advising policymakers of possible non-pharmacological approaches to limit the catastrophic impact of the pandemic. This chapter briefly describes the history of epidemic diseases and illustrates the classification of mathematical epidemic models, essentially various compartment models in the early days of the development of this subject.
Related Content
|
.
© 2023.
12 pages.
|
|
.
© 2023.
43 pages.
|
|
.
© 2023.
29 pages.
|
|
.
© 2023.
11 pages.
|
|
.
© 2023.
23 pages.
|
|
.
© 2023.
26 pages.
|
|
.
© 2023.
48 pages.
|
|
|