Literature DB >> 27608293

Competitive exclusion in a multi-strain immuno-epidemiological influenza model with environmental transmission.

Yan-Xia Dang1, Xue-Zhi Li2, Maia Martcheva3.   

Abstract

In this paper, a multi-strain model that links immunological and epidemiological dynamics across scales is formulated. On the within-host scale, the n strains eliminate each other with the strain having the largest immunological reproduction number persisting. However, on the population scale, we extend the competitive exclusion principle to a multi-strain model of SI-type for the dynamics of highly pathogenic flu in poultry that incorporates both the infection age of infectious individuals and biological age of pathogen in the environment. The two models are linked through the age-since-infection structure of the epidemiological variables. In addition the between-host transmission rate, the shedding rate of individuals infected by strain j and the disease-induced death rate depend on the within-host viral load. The immunological reproduction numbers [Formula: see text] and the epidemiological reproduction numbers [Formula: see text] are computed. By constructing a suitable Lyapunov function, the global stability of the infection-free equilibrium in the system is obtained if all reproduction numbers are smaller or equal to one. If [Formula: see text], the reproduction number of strain j is larger than one, then a single-strain equilibrium, corresponding to strain j exists. This single-strain equilibrium is globally stable whenever [Formula: see text] and [Formula: see text] is the unique maximal reproduction number and all of the reproduction numbers are distinct. That is, the strain with the maximal basic reproduction number competitively excludes all other strains.

Entities:  

Keywords:  92D30; Age-since-infection; Lyapunov function; competitive exclusion; environmental transmission; multi-strain; reproduction number

Mesh:

Year:  2016        PMID: 27608293     DOI: 10.1080/17513758.2016.1217355

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


  6 in total

1.  Competitive exclusion and coexistence phenomena of a two-strain SIS model on complex networks from global perspectives.

Authors:  Junyuan Yang; Xiaoyan Wang; Xiaofeng Luo
Journal:  J Appl Math Comput       Date:  2022-02-16

2.  Generic approach for mathematical model of multi-strain pandemics.

Authors:  Teddy Lazebnik; Svetlana Bunimovich-Mendrazitsky
Journal:  PLoS One       Date:  2022-04-28       Impact factor: 3.752

3.  The in vivo efficacy of neuraminidase inhibitors cannot be determined from the decay rates of influenza viral titers observed in treated patients.

Authors:  John Palmer; Hana M Dobrovolny; Catherine A A Beauchemin
Journal:  Sci Rep       Date:  2017-01-09       Impact factor: 4.379

4.  Estimating the introduction time of highly pathogenic avian influenza into poultry flocks.

Authors:  Peter H F Hobbelen; Armin R W Elbers; Marleen Werkman; Guus Koch; Francisca C Velkers; Arjan Stegeman; Thomas J Hagenaars
Journal:  Sci Rep       Date:  2020-07-24       Impact factor: 4.379

5.  Genetic diversity through social heterosis can increase virulence in RNA viral infections and cancer progression.

Authors:  Saba Ebrahimi; Peter Nonacs
Journal:  R Soc Open Sci       Date:  2021-05-05       Impact factor: 2.963

6.  Modeling and Research on an Immuno-Epidemiological Coupled System with Coinfection.

Authors:  Xue-Zhi Li; Shasha Gao; Yi-Ke Fu; Maia Martcheva
Journal:  Bull Math Biol       Date:  2021-10-13       Impact factor: 1.758

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.