Literature DB >> 10550576

Optimal intervention for epidemic models with general infection and removal rate functions.

D Clancy1.   

Abstract

In this paper, known results on optimal intervention policies for the general stochastic epidemic model are extended to epidemic models with more general infection and removal rate functions. We consider first policies allowing for the isolation of any number of infectives from the susceptible population at any time, secondly policies allowing for the immunisation of the entire susceptible population at any time, and finally policies allowing for either of these interventions. In each case the costs of infection, isolation and immunisation are assumed to have a particular, rather simple, form. Sufficient conditions are given on the infection and removal rate functions of the model for the optimal policies to take the same simple form as in the case of the general stochastic epidemic model. More general costs are briefly discussed, and some numerical examples given. Finally, we discuss possible directions for further work.

Entities:  

Mesh:

Year:  1999        PMID: 10550576     DOI: 10.1007/s002850050193

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  4 in total

1.  What is the best control strategy for multiple infectious disease outbreaks?

Authors:  Andreas Handel; Ira M Longini; Rustom Antia
Journal:  Proc Biol Sci       Date:  2007-03-22       Impact factor: 5.349

2.  Computational methods for birth-death processes.

Authors:  Forrest W Crawford; Lam Si Tung Ho; Marc A Suchard
Journal:  Wiley Interdiscip Rev Comput Stat       Date:  2018-01-02

3.  An optimal control theory approach to non-pharmaceutical interventions.

Authors:  Feng Lin; Kumar Muthuraman; Mark Lawley
Journal:  BMC Infect Dis       Date:  2010-02-19       Impact factor: 3.090

4.  A model of bi-mode transmission dynamics of hepatitis C with optimal control.

Authors:  Mudassar Imran; Hassan Rafique; Adnan Khan; Tufail Malik
Journal:  Theory Biosci       Date:  2013-12-30       Impact factor: 1.919

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.