Literature DB >> 33862696

Using chaos indicators to determine vaccine influence on epidemic stabilization.

André F Steklain1, Ahmed Al-Ghamdi2, Euaggelos E Zotos3.   

Abstract

Virus outbreaks have the potential to be a source of severe sanitarian and economic crisis. We propose a new methodology to study the influence of several parameter combinations on the dynamical behavior of simple epidemiological compartmental models. Using this methodology, we analyze the behavior of a simple vaccination model. We find that for susceptible-infected-recovered (SIR) models with seasonality and natural death rate, a new vaccination can reduce the chaoticity of epidemic trajectories, even with nonvaccinated adults. This strategy has little effect on the first infection wave, but it can stop subsequent waves.

Entities:  

Year:  2021        PMID: 33862696     DOI: 10.1103/PhysRevE.103.032212

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  2 in total

1.  Cellular automata in the light of COVID-19.

Authors:  Sourav Chowdhury; Suparna Roychowdhury; Indranath Chaudhuri
Journal:  Eur Phys J Spec Top       Date:  2022-06-26       Impact factor: 2.891

2.  COVID-19 in Africa: Underreporting, demographic effect, chaotic dynamics, and mitigation strategy impact.

Authors:  Nathan Thenon; Marisa Peyre; Mireille Huc; Abdoulaye Touré; François Roger; Sylvain Mangiarotti
Journal:  PLoS Negl Trop Dis       Date:  2022-09-16
  2 in total

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