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Transmission Dynamics of Zika Fever: A SEIR Based Model

  • Gulf University for Science and Technology
  • University of Dayton
  • Prince Sultan University (PSU)
  • Lahore University of Management Sciences

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

In this paper, a deterministic model is proposed to perform a thorough investigation of the transmission dynamics of Zika fever. Our model, in particular, takes into account the effects of horizontal as well as vertical disease transmission of both humans and vectors. The expression for basic reproductive number R is determined in terms of horizontal and vertical disease transmission rates. An in-depth stability analysis of the model is performed, and it is shown, that model is locally asymptotically stable when R< 1. In this case, there is a possibility of backward bifurcation in the model. With the assumption that total population is constant, we prove that the disease free state is globally asymptotically stable when R< 1. It is also shown that disease strongly uniformly persists when R> 1 and there exists an endemic equilibrium which is unique if the total population is constant. The endemic state is locally asymptotically stable when R> 1.

Original languageEnglish
Pages (from-to)463-486
Number of pages24
JournalDifferential Equations and Dynamical Systems
Volume29
Issue number3
DOIs
StatePublished - Jul 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Basic reproduction number
  • Sensitivity analysis
  • Stability analysis
  • Uncertainty analysis
  • Zika fever

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