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Dive into the research topics where Michel Langlais is active.

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Featured researches published by Michel Langlais.


The American Naturalist | 2009

The Allee Effect and Infectious Diseases: Extinction, Multistability, and the (Dis‐)Appearance of Oscillations

Frank M. Hilker; Michel Langlais; Horst Malchow

Infectious diseases that affect their host on a long timescale can regulate the host population dynamics. Here we show that a strong Allee effect can lead to complex dynamics in simple epidemic models. Generally, the Allee effect renders a population bistable, but we also identify conditions for tri‐ or monostability. Moreover, the disease can destabilize endemic equilibria and induce sustained oscillations. These disappear again for high transmissibilities, with eventually vanishing host population. Disease‐induced extinction is thus possible for density‐dependent transmission and without any alternative reservoirs. The overall complexity suggests that the system is very sensitive to perturbations and control methods, even in parameter regions with a basic reproductive ratio far beyond ndocumentclass{aastex}nusepackage{amsbsy}nusepackage{amsfonts}nusepackage{amssymb}nusepackage{bm}nusepackage{mathrsfs}nusepackage{pifont}nusepackage{stmaryrd}nusepackage{textcomp}nusepackage{portland,xspace}nusepackage{amsmath,amsxtra}nusepackage[OT2,OT1]{fontenc}nnewcommandcyr{nrenewcommandrmdefault{wncyr}nrenewcommandsfdefault{wncyss}nrenewcommandencodingdefault{OT2}nnormalfontnselectfont}nDeclareTextFontCommand{textcyr}{cyr}npagestyle{empty}nDeclareMathSizes{10}{9}{7}{6}nbegin{document}nlandscapen


Nonlinear Analysis-theory Methods & Applications | 1985

Stabilization of solutions of nonlinear and degenerate evolution equations

Michel Langlais; Daniel Phillips


Journal of Mathematical Biology | 1988

Large time behavior in a nonlinear age-dependent population dynamics problem with spatial diffusion.

Michel Langlais

R_{0}=1


Proceedings of the Royal Society of London. Series B, Biological Sciences | 2000

Dynamics of a feline virus with two transmission modes within exponentially growing host populations.

Kevin Berthier; Michel Langlais; Pierre Auger; Dominique Pontier


Journal of Mathematical Biology | 1991

Periodic solutions for a population dynamics problem with age-dependence and spatial structure

M. Kubo; Michel Langlais

nend{document} . This may have profound implications for biological conservation as well as pest management. We identify important threshold quantities and attribute the dynamical behavior to the joint interplay of a strong Allee effect and infection.


European Journal of Plant Pathology | 2013

Impacts of plant growth and architecture on pathogen processes and their consequences for epidemic behaviour

Agnès Calonnec; Jean Baptiste Burie; Michel Langlais; Sébastien Guyader; Sébastien Saint-Jean; Ivan Sache; Bernard Tivoli

On etudie le comportement asymptotique des solutions bornees des equations de la forme u t -Δη(u)=f(x,u) dans Ω×R + , u(x,o)=u 0 (x) dans Ω,u(x,t)=u 1 (x,t) dans ∂Ω×R + , ou Ω est un domaine borne de R N avec ∂Ω de classe C 2, α, 0


Journal of Mathematical Biology | 1982

Age-dependent population diffusion with external constraint

Maria Giovanna Garroni; Michel Langlais

In this work we analyze the large time behavior in a nonlinear model of population dynamics with age-dependence and spatial diffusion. We show that when t→+∞ either the solution of our problem goes to 0 or it stabilizes to a nontrivial stationary solution. We give two typical examples where the stationary solutions can be evaluated upon solving very simple partial differential equations. As a by-product of the extinction case we find a necessary condition for a nontrivial periodic solution to exist. Numerical computations not described below show a rapid stabilization.


Proceedings of the Royal Society of London. Series B, Biological Sciences | 2000

A modelling approach to vaccination and contraception programmes for rabies control in fox populations

Christelle Suppo; Jean-Marc Naulin; Michel Langlais; Marc Artois

Feline panleucopenia virus (FPLV) was introduced in 1977 on Marion Island (in the southern Indian Ocean) with the aim of eradicating the cat population and provoked a huge decrease in the host population within six years. The virus can be transmitted either directly through contacts between infected and healthy cats or indirectly between a healthy cat and the contaminated environment: a specific feature of the virus is its high rate of survival outside the host. In this paper, a model was designed in order to take these two modes of transmission into account. The results showed that a mass-action incidence assumption was more appropriate than a proportionate mixing one in describing the dynamics of direct transmission. Under certain conditions the virus was able to control the host population at a low density. The indirect transmission acted as a reservoir supplying the host population with a low but sufficient density of infected individuals which allowed the virus to persist. The dynamics of the infection were more affected by the demographic parameters of the healthy hosts than by the epidemiological ones. Thus, demographic parameters should be precisely measured in field studies in order to obtain accurate predictions. The predicted results of our model were in good agreement with observations.


Ecological Modelling | 1997

Simulation of rabies control within an increasing fox population

Marc Artois; Michel Langlais; Christelle Suppo

Using a linear model with age-dependence and spatial structure we show how a periodical supply of individuals will transform an exponentially decaying distribution of population into a non-trivial asymptotically stable periodic distribution. Next we give an application to an epidemic model.


Veterinary Research | 2013

Seasonal and spatial heterogeneities in host and vector abundances impact the spatiotemporal spread of bluetongue

Maud Vp Charron; Georgette Kluiters; Michel Langlais; Henri Seegers; Matthew Baylis; Pauline Ezanno

As any epidemic on plants is driven by the amount of susceptible tissue, and the distance between organs, any modification in the host population, whether quantitative or qualitative, can have an impact on the epidemic dynamics. In this paper we examine using examples described in the literature, the features of the host plant and the use of crop management which are likely to decrease diseases. We list the pathogen processes that can be affected by crop growth and architecture modifications and then determine how we can highlight the principal ones. In most cases, a reduction in plant growth combined with an increase in plant or crop porosity reduces infection efficiency and spore dispersal. Experimental approaches in semi-controlled conditions, with concomitant characterisation of the host, microclimate and disease, allow a better understanding and analysis of the processes impacted. Afterwards, the models able to measure and predict the effect of plant growth and architecture on epidemic behaviour are reviewed.

Collaboration


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Agnes Calonnec

Institut national de la recherche agronomique

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Marc Artois

École Normale Supérieure

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Bernard Tivoli

Institut national de la recherche agronomique

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Henri Seegers

Institut national de la recherche agronomique

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Pauline Ezanno

Institut national de la recherche agronomique

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Pierre Casadebaig

Institut national de la recherche agronomique

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Robert Faivre

Institut national de la recherche agronomique

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