2017
DOI: 10.1016/j.physa.2017.04.055
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A class of stochastic delayed SIR epidemic models with generalized nonlinear incidence rate and temporary immunity

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Cited by 33 publications
(19 citation statements)
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“…Various factors, such as vaccination, time delay, impulse and so on, are used to construct mathematical models and seek effective ways to eliminate infectious diseases. Time delay, which has great biologic meaning in epidemic systems, is often used [7][8][9][10]. Many scholars have also paid close attention to the effects of the temporary disease immunity of epidemic models, i.e., a fleeting immunity to a disease after recovery before becoming susceptible again.…”
Section: Introductionmentioning
confidence: 99%
“…Various factors, such as vaccination, time delay, impulse and so on, are used to construct mathematical models and seek effective ways to eliminate infectious diseases. Time delay, which has great biologic meaning in epidemic systems, is often used [7][8][9][10]. Many scholars have also paid close attention to the effects of the temporary disease immunity of epidemic models, i.e., a fleeting immunity to a disease after recovery before becoming susceptible again.…”
Section: Introductionmentioning
confidence: 99%
“…Temporary immunity is another important phenomenon in the transmission of epidemic diseases, such as influenza, Chlamydia trachomatis, and Salmonella infection [12]. In the case of temporary immunity, an individual gets a fleeting immunity to a disease after recovery and then becomes susceptible again after some period.…”
Section: Introductionmentioning
confidence: 99%
“…To model the spreading of diseases between different states, a spatial variable was added, which led to a partial differential system, see [5,6]. Already in 1975, Bailey discussed in [1] the relevance of stochastic terms in the mathematical model of epidemics, which is still an attractive way of modeling the uncertainty of the transmission and vaccines, see [7][8][9][10]. Although these modifications exist, so far there has been no success in generalizing the epidemic models to a general time scale to allow modeling a noncontinuous disease dynamics.…”
Section: Introductionmentioning
confidence: 99%