
Antoine Perasso
- Laboratoire Chrono-environnement (UMR 6249) (LCE)
Présentation
Principaux domaines de compétences
-
Modélisation en sciences du vivant : dynamique des populations, épidémiologie, écotoxicologie, interactions consommateurs/ressources, évolution du génome
-
Systèmes dynamiques : EDPs structurées, EDO, stabilité, bifurcation
-
Problèmes inverses - identifiabilité & identification paramétrique
Publications dans des revues internationales à comité de lecture
[28] M. Massard, B. Saussereau, C. Chirouze, Q. Lepiller, R. Eftimie, A. Perasso. Modelling and investigating memory immune responses in infectious disease. Application to Influenza A Virus and SARS-CoV-2 reinfections., Accepté pour publication dans Infectious Disease Modelling
[27] T. Faniran, M. O. Adewole, C. Chirouze, A. Perasso, R. Eftimie. Multiscale modeling approach to assess the impact of antibiotic treatment for COVID-19 on MRSA transmission and alternative immunotherapy treatment options, Mathematics in Applied Sciences and Engineering, 4(4) (2023), 249-350
[26] M. Massard, R. Eftimie, A. Perasso, B. Saussereau. A multi-strain epidemic model for COVID-19 with infected and asymptomatic cases : Application to French data, Journal of Theoretical Biology, 545 (2022), 111-117
[25] E. Dangbe, A. Perasso, D. Irépran. Mathematical modelling and assessment of barrier measures and temperature on the transmission and persistence of Novel coronavirus disease 2019 (COVID-19), International Journal of Biomathematics, 15(3) (2022)
[24] T. Moulin, A. Perasso, P Calanca, F. Gillet. DynaGraM : A process-based model to simulate multi-species plant community dynamics in managed grasslands, Ecological Modelling, 439 (2021)
[23] A. Perasso, Q. Richard, I. Azzali, E. Venturino. Well-posedness, positivity and time asymptotics properties for a reaction-diffusion model of plankton communities, involving a rational nonlinearity with singularity, Studies in Applied Mathematic, 146(1) (2021), 211-232
[22] A. Perasso, Q. Richard. Asymptotic behavior of age-structured and delayed Lotka-Volterra models, SIAM Journal on Mathematical Analysis, 52(5) (2020), 4284–4313
[21] T. Moulin, A. Perasso, E. Venturino. A metaecoepidemic model of grassland ecosystem with only consumers’ migration, Bulletin of Mathematical Biology, 82(88) (2020)
[20] A. Perasso. Global Stability and uniform persistence for an infection load-structured SI model with exponential growth velocity, Communications on Pure and Applied Analysis, 18(1) (2019), 15-32
[19] A. Perasso, Q. Richard. Implication of age-structure on the dynamics of Lotka Volterra equations, Differential and Integral Equations, 32(1-2) (2019), 91-120
[18] A. Perasso. An introduction to the basic reproduction number in mathematical epidemiology, Esaim :Proceedings and Surveys, 62 (2018), 123-138
[17] V. Baudrot, C. Fritsch, A. Perasso, M. Banerjee, F. Raoul. Effects of contaminants and trophic cascade regulation on food chain stability : application to cadmium soil pollution on small mammals - raptor systems, Ecological Modelling, 382 (2018), 33-42
[16] E. Dangbé, D. Békollé, D. Irépran, A. Perasso. Mathematical modelling and numerical simulations of the influence of hygiene and seasons on the spread of cholera, Mathematical Biosciences, 296 (2018), 60-70
[15] T. Moulin, A. Perasso, F. Gillet. Modelling vegetation dynamics in managed grasslands : responses to drivers depend on species richness, Ecological Modelling, 374 (2018), 22-36
[14] E. Dangbé, D. Békollé, D. Irépran, A. Perasso. Impact of hygiene, famine and environment on transmission and spread of cholera, Mathematical Modelling of Natural Phenomena, 12(2) (2017), 4-21
[13] M. Duprez, A. Perasso. Criterion of positivity for semilinear problems with applications in biology, Positivity, 21(4) (2017), 1383-1392
[12] E. Dangbé, A. Perasso, D. Irépran, D. Békollé. Impact of climate factors on contact rate of Vector-Borne Diseases. Case study of malaria, International Journal of Biomathematics, 10(1) (2017)
[11] V. Baudrot, A. Perasso, C. Fritsh, F. Raoul. Competence of hosts and complex foraging behavior are two cornerstones in the dynamics of trophically transmitted parasites, Journal of Theoretical Biology, 397 (2016), 158-168
[10] B. Laroche, A. Perasso. Threshold behaviour of a SI epidemiological model with two structuring variables, Journal of Evolution Equations, 216(2) (2016), 293-315
[9] V. Baudrot, A. Perasso, C. Fritsh, P. Giraudoux, F. Raoul. The adaptation of generalist predators ? diet in a multi-prey context : insights from new functional responses, Ecology, 97(7) (2016), 1832-1841
[8] J.M. Bahi, C. Guyeux, A. Perasso. Chaos in DNA Evolution, International Journal of Biomathematics, 9(5) (2016)
[7] A. Perasso, U. Razafison. Identifiability problem for recovering the mortality rate in an age-structured population dynamics model, Inverse Problems in Science and Engineering, 24(4) (2016), 711-728
[6] V. Frossard, B. Saussereau, A. Perasso, F. Gillet. What is the robustness of early warning signals to temporal aggregation ?, Frontiers in Ecology and Evolution, 3(112) (2015)
[5] J.M. Bahi, C. Guyeux, A. Perasso. Relaxing the Hypotheses of Symmetry and Time-Reversibility in Genome Evolutionary Models, British Journal of Mathematics & Computer Science, 5(4) (2015), 439-455
[4] A. Perasso, U. Razafison. Asymptotic Behavior and Numerical Simulations for an Infection Load-Structured Epidemiological Model ; Application to the Transmission of Prion Pathologies, SIAM Journal on Applied Mathematics, 74(5) (2014), 1571-1597
[3] J.M. Bahi, C. Guyeux, A. Perasso. Predicting the Evolution of two Genes in the Yeast Saccharomyces Cerevisiae, Procedia Computer Science, 11 (2012), 4-16
[2] A. Perasso, B. Laroche, Y. Chitour and S. Touzeau. Identifiability analysis of an epidemiological model in a structured population, Journal of Mathematical Analysis and Application, 374(1) (2011), 154-165
[1] A. Perasso and B. Laroche. Well-posedness of an epidemiological problem described by an evolution PDE, ESAIM :Proceedings and Surveys, 25 (2008), 29-43
Domaines de recherche
Publications
Publications
Sensitivity analysis of a grassland vegetation model: responses to drivers depend on species richnessMB2 2018, Mathematical Biology Modelling days of Besançon, Jun 2018, Besançon, France
Communication dans un congrès
hal-03534053
v1
|
|
New approaches to description and modeling of trophic interactions: reliable allies to study trophically-transmitted parasites?Research and methods in ecohealth and conservation, GDRI Ecosystem Health and Environmental Disease Ecology, Nov 2016, Kunming, China
Communication dans un congrès
hal-01367367
v1
|
|
|
Infection load structured SI model with exponential velocity and external source of contaminationWorld Congress on Engineering, 2013, United Kingdom. pp.263--267
Communication dans un congrès
hal-00606368
v2
|
|
Mathematical analysis and numerical simulations of a generic population dynamics modelICIAM 2011 -- 7th International Congress on Industrial and Applied Mathematics, Labo/service de l'auteur, Ville service, Pays service., Jul 2011, Vancouver, Canada. pp.1
Communication dans un congrès
hal-02806998
v1
|
|
Identiability analysis of an epidemiological PDE model19. International Symposium on Mathematical Theory of Networks and Systems (MTNS), Jul 2010, Budapest, Hungary
Communication dans un congrès
hal-02754770
v1
|
DynaGraM, Dynamic Grassland Model - Predicting changes in plant community composition and ecosystem functionMPDE 2016, Models in Population Dynamics and Ecology, Sep 2016, Marseille, France
Poster de conférence
hal-03534122
v1
|
What is the robustness of early warning signals to temporal aggregation?Using Paleolimnology for Management and Restoration of Lakes, Frontiers Media SA, 2017, Frontiers Research Topics, ⟨10.3389/978-2-88945-091-6⟩
Chapitre d'ouvrage
hal-03533904
v1
|
|
Identifiability analysis of an epidemiological model in a structured population[Technical Report] 2009-5, 2009
Rapport
(rapport technique)
hal-02824583
v1
|
|
Identifiabilité de paramètres pour des systèmes décrits par des équations aux dérivées partielles. Application à la dynamique des populationsMathématiques [math]. Université Paris Sud - Paris XI, 2009. Français. ⟨NNT : ⟩
Thèse
tel-00464272
v1
|
|
Identifiabilité de paramètres pour des systèmes décrits par des équations aux dérivées partielles. Application à la dynamique des populationsMathématiques [math]. Université Paris Sud - Paris 11, 2009. Français. ⟨NNT : ⟩
Thèse
tel-02823004
v1
|
|
Analyse de systèmes d’équations différentielles et aux dérivées partielles structurées modélisant des interactions de type proie/prédateur et épidémiologiqueMathématiques [math]. Université Bourgogne - Franche-Comté, 2017
HDR
tel-04745219
v1
|