Ecoepidemiology: a More Comprehensive View of Population Interactions

Venturino, Ezio

doi:10.1051/mmnp/201611104

Cited by 47 publications

(37 citation statements)

References 136 publications

(169 reference statements)

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“…Most models in theoretical eco-epidemiology make the important assumption that the predator consumes only one prey species (see references in [35]). This is obviously a too simplistic scenario and the current paper is suggested to partially bridge the existing gap and explore the role of an alternative prey in the disease spread and overall ecosystem dynamics.…”

Section: Discussionmentioning

confidence: 99%

“…The coefficient of proportionality λ is called the transmission coefficient. In earlier models, the transmission coefficient was considered to be constant [35], however, a large amount of empirical evidence indicates that disease transmission can be affected by the presence of predators (see relevant references in the Introduction). Thus, we shall explore here both scenarios: (i) λ = const and (ii) λ = λ(P ).…”

Section: Model Equationsmentioning

confidence: 99%

“…Firstly, we suggest that the transmission rate of disease is predator independent, as is the case in all conventional models (see [35] and the references therein). Secondly, we shall analyze a more interesting scenario, where the transmission rate is predatordependent.…”

Section: Introductionmentioning

confidence: 99%

“…Modelling of trophic interactions in the presence of infection is a major subject of ecoepidemiology, which is itself a rapidly growing branch of theoretical ecology. Since the first publications in this area [3,13,34], hundreds of various ecoepidemiological models have been suggested so far emphasizing various aspects of the field (for a brief review, see [35]). However, in most of the previous works, the authors assume that the predator is a specialist, i.e.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Generalist Predator Regulating Spread of a Wildlife Disease: Exploring Two Infection Transmission Scenarios

Sen

Banerjee

Морозов

2015

Math. Model. Nat. Phenom.

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Abstract. Ecoepidemiology is a well-developed branch of theoretical ecology, which explores interplay between the trophic interactions and the disease spread. In most ecoepidemiological models, however, the authors assume the predator to be a specialist, which consumes only a single prey species. In few existing papers, in which the predator was suggested to be a generalist, the alternative food supply was always considered to be constant. This is obviously a simplification of reality, since predators can often choose between a number of different prey. Consumption of these alternative prey can dramatically change their densities and strongly influence the model predictions. In this paper, we try to bridge the gap and explore a generic ecoepidemiological system with a generalist predator, where the densities of all prey are dynamical variables. The model consists of two prey species, one of which is subject to an infectious disease, and a predator, which consumes both prey species. We investigate two main scenarios of infection transmission mode: (i) the disease transmission rate is predator independent and (ii) the transmission rate is a function of predator density. For both scenarios we fulfil an extensive bifurcation analysis. We show that including a second dynamical prey in the system can drastically change the dynamics of the single prey case. In particular, the presence of a second prey impedes disease spread by decreasing the basic reproduction number and can result in a substantial drop of the disease prevalence. We demonstrate that with efficient consumption of the second prey species by the predator, the predator-dependent disease transmission can not destabilize interactions, as in the case with a specialist predator. Interestingly, even if the population of the second prey eventually vanishes and only one prey species finally remains, the system with two prey species may exhibit different properties to those of the single prey system.

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Section: Discussionmentioning

confidence: 99%

Section: Model Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Generalist Predator Regulating Spread of a Wildlife Disease: Exploring Two Infection Transmission Scenarios

Sen

Banerjee

Морозов

2015

Math. Model. Nat. Phenom.

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“…This approach is quite different to most ecoepidemiological models, where the predator is generally considered to be a specialist [23]. Another important new feature of the model is that the authors investigated the role of predator-dependent disease transmission, since although there are various known mechanisms through which the predation on the infected host can affect the transmission of disease (see [13]), the existing literature only considers predator-independent disease transmission.…”

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confidence: 99%

Modelling in Ecology, Epidemiology and Ecoepidemiology: Introduction to the Special Issue

Морозов

2015

Math. Model. Nat. Phenom.

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Mathematical modelling in ecology, epidemiology and eco-epidemiology is a vast and constantly growing research field. This is perhaps unsurprising since mathematical models can provide a wide-ranging exploration of the biological problem without a need for experiments which are usually expensive and can be potentially dangerous to ecosystems. The current Special Issue of MMNP presents recent findings and developments in the following areas of theoretical ecology and epidemiology: (i) revealing the biological processes behind observed complex patterns; (iii) modelling the role of dispersal and spatial heterogeneity in species persistence; (ii) applications of bifurcation theory in population dynamics and epidemiology; (iv) the role of selection in self-replicating biological and ecological systems; (v) sensitivity, predictability and control of biological models in a noisy environment. It is important to emphasize that many of the contributions to this issue are not limited to one of the above topics, but rather lie at the interface of several of them.The work of D. Ahmed and S. Petrovskii [1] studies the movement of insects whose spatial dispersal is a random variable and is described by a certain probability distribution. Understanding the mechanisms of insects movement behaviour is a highly relevant problem from the practical point of view, since it can help us to correctly interpret the results of insect trapping, which is the basis of many current pest monitoring programs [17]. There is a lively ongoing debate in the literature regarding the possibility of Lévy-type movement behaviour by animals, as opposed to the Brownian motion, and various mechanisms have been proposed to explain the observed patterns [3,16,24]. Ahmed and Petrovskii provide an alternative description of Levy-type movement by introducing time-dependent diffusivity. In particular, the authors claim that the trap counts of insects whose dynamics is given by an example of a Lévy-type distribution -a Cauchy type random walk -can be successfully modelled via a different movement pattern: classical Brownian motion with a time-dependent diffusion coefficient. Thus, the authors provide an excellent example of how two completely different mechanisms can describe the same pattern of field observations.Among the central topics in theoretical ecology is the understanding of the role of space in population dynamics and species persistence across different time scales [6,7,11,12]. In this issue, three contributions [2,4,20] directly focus on the role of space in population dynamics.Modelling the mechanisms of biological aggregation and patchiness is a pertinent topic in theoretical ecology, with various models suggested [6,14,19]. In their work, R. Eftimie and A. Coulier [4] explore the effects of communication between organisms on the formation and structure of large biological agc EDP Sciences, 2015 Article published by EDP Sciences and available at

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An eco‐epidemic model for infectious keratoconjunctivitis caused by Mycoplasma conjunctivae in domestic and wild herbivores, with possible vaccination strategies

Abbona

Venturino

2016

Math Methods in App Sciences

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In this paper, we propose an eco‐epidemiological predator–prey model, modeling the spread of infectious keratoconjunctivitis among domestic and wild ungulates, during the summer season, when they intermigle in high mountain pastures. The disease can be treated in the domestic animals, but for the wild herbivores, it leads to blindness, with consequent death. The model shows that the disease can lead infected herbivores or their predators to extinction, even if it does not affect the latter. Boundedness of solutions and equilibria feasibility are obtained. Stability around the different equilibrium points is analyzed through eigenvalues and the Routh–Hurwitz criterion. Simulations are carried out to support the theoretical results. Sensitivity with respect of some parameters is investigated. The prey vaccination as control measure is introduced and simulated, although at present, the vaccine is not yet available, but just being developed. It would then possibly eradicate the infection in the domestic animals, which are considered a disease reservoir. Copyright © 2016 John Wiley & Sons, Ltd.

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Ecoepidemiology: a More Comprehensive View of Population Interactions

Cited by 47 publications

References 136 publications

A Generalist Predator Regulating Spread of a Wildlife Disease: Exploring Two Infection Transmission Scenarios

A Generalist Predator Regulating Spread of a Wildlife Disease: Exploring Two Infection Transmission Scenarios

Modelling in Ecology, Epidemiology and Ecoepidemiology: Introduction to the Special Issue

An eco‐epidemic model for infectious keratoconjunctivitis caused by Mycoplasma conjunctivae in domestic and wild herbivores, with possible vaccination strategies

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