Stochastic analysis of a deterministic and seasonally forced SEI model for improved disease spread simulation

Sohail, A, Li, ZW, Iftikhar, M, Mohamed, M and Beg, OA ORCID: https://orcid.org/0000-0001-5925-6711 2017, 'Stochastic analysis of a deterministic and seasonally forced SEI model for improved disease spread simulation' , Journal of Mechanics in Medicine and Biology (jmmb), 17 (4) , p. 1750067.

Preview

PDF - Accepted Version Download (631kB) | Preview

Abstract

The geographic distribution of different viruses has developed widely, giving rise to an escalating number of cases during the past two decades. The deterministic Susceptible, Exposed, Infectious (SEI) models can demonstrate the spatio-temporal dynamics of the diseases and have been used extensively in modern mathematical and mechano-biological simulations. This article presents a functional technique to model the stochastic effects and seasonal forcing in a reliable manner by satisfying the Lipschitz criteria. We have emphasized that the graphical portrayal can prove to be a powerful tool to demonstrate the stability analysis of the deterministic as well as the stochastic modeling. Emphasis is made on the dynamical effects of the force of infection. Such analysis based on the parametric sweep can prove to be helpful in predicting the disease spread in urban as well as rural areas and should be of interest to mathematical biosciences researchers.

Item Type:	Article
Schools:	Schools > School of Computing, Science and Engineering
Journal or Publication Title:	Journal of Mechanics in Medicine and Biology (jmmb)
Publisher:	World Scientific Publishing
ISSN:	0219-5194
Related URLs:	Publication
Funders:	Non funded research
Depositing User:	OA Beg
Date Deposited:	28 Nov 2016 10:40
Last Modified:	24 Jan 2020 08:29
URI:	http://usir.salford.ac.uk/id/eprint/40865

Actions (login required)

Edit record (repository staff only)