Literature DB >> 22880616

Infection-age structured epidemic models with behavior change or treatment.

James M Hyman1, Jia Li.   

Abstract

We formulate infection-age structured susceptible-infective-removed (SIR) models with behavior change or treatment of infections. Individuals change their behavior or have treatment after they are infected. Using infection age as a continuous variable, and dividing infectives into discrete groups with different infection stages, respectively, we formulate a partial differential equation model and an ordinary differential equation model with behavior change or treatment. We derive explicit formulas for the reproductive number by linear stability analysis of the infection-free equilibrium, and explicit formulas for the unique endemic equilibrium, when it exists, for both models. These formulas provide mathematical theoretical frameworks for analysis of impact of behavior change or treatment of infection to the transmission dynamics of infectious diseases. We study several special cases and provide sensitivity analysis for the reproductive numbers with respect to model parameters based on those formulas.

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Year:  2007        PMID: 22880616     DOI: 10.1080/17513750601040383

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


  3 in total

1.  Game theory of social distancing in response to an epidemic.

Authors:  Timothy C Reluga
Journal:  PLoS Comput Biol       Date:  2010-05-27       Impact factor: 4.475

Review 2.  Coupled disease-behavior dynamics on complex networks: A review.

Authors:  Zhen Wang; Michael A Andrews; Zhi-Xi Wu; Lin Wang; Chris T Bauch
Journal:  Phys Life Rev       Date:  2015-07-08       Impact factor: 11.025

3.  Epidemics on networks: Reducing disease transmission using health emergency declarations and peer communication.

Authors:  Asma Azizi; Cesar Montalvo; Baltazar Espinoza; Yun Kang; Carlos Castillo-Chavez
Journal:  Infect Dis Model       Date:  2019-12-11
  3 in total

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