Literature DB >> 34182892

Effects of social-distancing on infectious disease dynamics: an evolutionary game theory and economic perspective.

Maia Martcheva1, Necibe Tuncer2, Calistus N Ngonghala1,3.   

Abstract

We propose two models inspired by the COVID-19 pandemic: a coupled disease-human behaviour (or disease-game theoretic), and a coupled disease-human behaviour-economic model, both of which account for the impact of social-distancing on disease control and economic growth. The models exhibit rich dynamical behaviour including multistable equilibria, a backward bifurcation, and sustained bounded periodic oscillations. Analyses of the first model suggests that the disease can be eliminated if everybody practices full social-distancing, but the most likely outcome is some level of disease coupled with some level of social-distancing. The same outcome is observed with the second model when the economy is weaker than the social norms to follow health directives. However, if the economy is stronger, it can support some level of social-distancing that can lead to disease elimination.

Entities:  

Keywords:  34K20; 49K20; 92B05; COVID-19; SARS-CoV-2; economic modelling; epidemic modelling; game theory

Year:  2021        PMID: 34182892     DOI: 10.1080/17513758.2021.1946177

Source DB:  PubMed          Journal:  J Biol Dyn        ISSN: 1751-3758            Impact factor:   2.179


  2 in total

1.  Herd Behaviors in Epidemics: A Dynamics-Coupled Evolutionary Games Approach.

Authors:  Shutian Liu; Yuhan Zhao; Quanyan Zhu
Journal:  Dyn Games Appl       Date:  2022-03-05       Impact factor: 1.296

2.  Protection and Planning of Historic Districts Based on Internet of Things Perception.

Authors:  Qing Zhao; YunYing Ren
Journal:  Comput Intell Neurosci       Date:  2022-06-09
  2 in total

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