2020
DOI: 10.14232/ejqtde.2020.1.54
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Periodic orbits for periodic eco-epidemiological systems with infected prey

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Cited by 5 publications
(4 citation statements)
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“…for all sufficiently large t. Notice that, for a general G, if g does not depend on I, we have g(S, I, P) ≥ g(s * (t)+𝜖, 0, 𝑦 * (t)−𝜖) and we still obtain inequality (11).…”
Section: Resultsmentioning
confidence: 86%
See 1 more Smart Citation
“…for all sufficiently large t. Notice that, for a general G, if g does not depend on I, we have g(S, I, P) ≥ g(s * (t)+𝜖, 0, 𝑦 * (t)−𝜖) and we still obtain inequality (11).…”
Section: Resultsmentioning
confidence: 86%
“…[1][2][3][4][5][6][7] To make models more realistic, it is important, in many situations, to consider time varying parameters. Several nonautonomous eco-epidemiological systems have been proposed and studied in the literature, starting with the case of periodic parameters, 2,[8][9][10][11][12][13] an important case since it is well known in epidemiology that some parameters, for instance incidence rates, are seldom subject to periodic seasonal fluctuations.…”
Section: Introductionmentioning
confidence: 99%
“…It can be of interest to give some considerations which are based on known general results of the qualitative theory of differential equations which indicate that there is a unique global asymptotically stable attractor which is always one of the equilibrium points [43][44][45]. The global attractor is the disease-free equilibrium if the reproduction number is less than or equal to one and the endemic equilibrium point if such a parameter exceeds unity.…”
Section: Remarkmentioning
confidence: 99%
“…Typically, the functional response of the predator to prey is given by some particular function. In this paper we take as reference the model proposed in [19,20] that generalizes the one in [21] by considering general functions corresponding to the predation of uninfected and infected prey. Besides the population compartments, given by S, I and P that correspond, respectively, to the susceptible prey, infected prey and predator, we may understood Λ and µ as the (random) recruitment rate and the natural death rate of prey population, respectively, β as the incidence rate of the disease, η as the predation rate of infected prey, c as the death rate in the infective class, γ as the rate converting susceptible prey into predator (biomass transfer), r as the rate of converting infected prey into predator, f (S, I, P ) is the predation of susceptible prey and g(S, I, P ) is the predation of infected prey.…”
mentioning
confidence: 99%