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Discrete-time dynamic network model for the spread of susceptible-infective-recovered diseases

Sanjeev Kumar Chauhan
Phys. Rev. E 96, 012305 – Published 5 July 2017

Abstract

We propose a discrete-time dynamic network model describing the spread of susceptible-infective-recovered diseases in a population. We consider the case in which the nodes in the network change their links due to social mixing dynamics as well as in response to the disease. The model shows the behavior that, as we increase social mixing, disease spread is inhibited in certain cases, while in other cases it is enhanced. We also extend this dynamic network model to take into account the case of hidden infection. Here we find that, as expected, the disease spreads more readily if there is a time period after contracting the disease during which an individual is infective but is not known to have the disease.

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  • Received 29 October 2016
  • Revised 27 February 2017

DOI:https://doi.org/10.1103/PhysRevE.96.012305

©2017 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
  1. Physical Systems
Networks

Authors & Affiliations

Sanjeev Kumar Chauhan*

  • Physics Department, SGT University, Gurugram 122505, Haryana, India

  • *dr.sanjeevk.chauhan@gmail.com

Article Text

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Issue

Vol. 96, Iss. 1 — July 2017

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