Literature DB >> 16806597

Analysis of a delayed epidemic model with pulse vaccination and saturation incidence.

Shujing Gao1, Lansun Chen, Juan J Nieto, Angela Torres.   

Abstract

Pulse vaccination is an important strategy for the elimination of infectious diseases. An SEIRS epidemic model with time delays and pulse vaccination is formulated in this paper. Using the discrete dynamical system determined by the stroboscopic map, we obtain the exact infection-free periodic solution of the impulsive epidemic system and prove that the infection-free periodic solution is globally attractive if the vaccination rate is larger than theta*. Moreover, we show that the disease is uniformly persistent if the vaccination rate is less than theta*. The permanence of the model is investigated analytically. Our results indicate that a long latent period of the disease is sufficient condition for the extinction of the disease.

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Year:  2006        PMID: 16806597     DOI: 10.1016/j.vaccine.2006.05.018

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  15 in total

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6.  Effective mathematical modelling of health passes during a pandemic.

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7.  Analysis and Numerical Simulations of a Stochastic SEIQR Epidemic System with Quarantine-Adjusted Incidence and Imperfect Vaccination.

Authors:  Fei Li; Xinzhu Meng; Xinzeng Wang
Journal:  Comput Math Methods Med       Date:  2018-02-20       Impact factor: 2.238

8.  Stochastic inequalities and applications to dynamics analysis of a novel SIVS epidemic model with jumps.

Authors:  Xiaona Leng; Tao Feng; Xinzhu Meng
Journal:  J Inequal Appl       Date:  2017-06-15       Impact factor: 2.491

9.  Analysis of an SIR epidemic model with pulse vaccination and distributed time delay.

Authors:  Shujing Gao; Zhidong Teng; Juan J Nieto; Angela Torres
Journal:  J Biomed Biotechnol       Date:  2007

10.  Modelling diseases with relapse and nonlinear incidence of infection: a multi-group epidemic model.

Authors:  Jinliang Wang; Jingmei Pang; Xianning Liu
Journal:  J Biol Dyn       Date:  2014       Impact factor: 2.179

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