2012
DOI: 10.1002/mma.2586
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A generalized nonautonomous SIRVS model

Abstract: A nonautonomous SIRVS model with time‐dependent parameters is considered. The global dynamics is investigated, and conditions for the permanence, extinction, and disease‐free equilibrium are studied. Substitute quantities that replace the basic reproduction number are presented. Numerical simulations illustrate the dynamic behavior of the proposed model. Copyright © 2012 John Wiley & Sons, Ltd.

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Cited by 5 publications
(12 citation statements)
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“…To determine whether a neutron has been emitted after a β-decay we therefore count neutrons for a 200 µs time period. This is sufficient to detect most neutrons (about 96%) [50]. With our low overall implantation rate of less than 0.1 ions per second this is still fast enough to correlate the neutron detection uniquely with a beta-decay event and the preceding implantation event.…”
Section: Setupmentioning
confidence: 84%
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“…To determine whether a neutron has been emitted after a β-decay we therefore count neutrons for a 200 µs time period. This is sufficient to detect most neutrons (about 96%) [50]. With our low overall implantation rate of less than 0.1 ions per second this is still fast enough to correlate the neutron detection uniquely with a beta-decay event and the preceding implantation event.…”
Section: Setupmentioning
confidence: 84%
“…Calibration measurements using the same 252 Cf source were also performed before and after the experiment reported here. The details of the efficiency calibration are discussed in [50], see also [28]. The NERO efficiency as a function of neutron energy is constant for low energies and drops for increasing neutron energies beyond ≈ 1 MeV.…”
Section: Results For Pn Valuesmentioning
confidence: 99%
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“…Our objective in this paper is to consider a family of nonautonomous SIQR models with a large family of contact rates given by general functions that are, in general, time-dependent and far from bilinear, and obtain numbers that play the role of the basic reproductive number in this setting. Related results for nonautonomous SIRVS models were obtained in [21,28], though the incidences considered in those papers are linear in the infectives while here we assume that the incidences are, in general, nonlinear functions of all compartments. We not that, for some diseases with long latent stages, a latent class must be considered.…”
Section: Introductionmentioning
confidence: 98%
“…Nonautonomous logistic equations have been studied [ 23 – 28 ]. Based on above works and [ 29 34 ], we investigate a simple lymphatic filariasis model in periodic environment: In view of the biological background, system ( 1 ) has initial values where S h ( t ) and I h ( t ) separately denote the densities of the susceptible and the infective individuals for human population at time t ; S m ( t ) and I m ( t ) represent the densities of the susceptible and the infected individuals for mosquito population at time t , respectively. It is easy to see that N h ( t ) = S h ( t ) + I h ( t ) and N m ( t ) = S m ( t ) + I m ( t ) are size of human population and mosquito population, respectively.…”
Section: Introductionmentioning
confidence: 99%