This page has English version.
Contact :
antoine.perasso chez univ-fcomte.fr
Adresse :
UMR6249 Chrono-environnement,
Université de Franche-Comté,
16 route de Gray,
F-25030 Besançon cedex
Téléphone : 03.81.66.20.14
"Analyse et prise en compte de la saisonnalité des épidémies dans la modélisation mathématique des maladies infectieuses tropicales" — Partenariat Université de Franche-Comté - Université de Montpellier - Université de Ngaoundéré (Cameroun), projet DERCI du CNRS, 2022/2024
ÉpiMaths : projet en Épidémiologie Mathématique, projet Région Bourgogne Franche-Comté, 2020/2023
Thèses en cours
Thèses soutenues
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) - [Article]
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(03) (2022) - [Article]
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(1) (2021) - [Article]
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 Mathematics, 146(1) (2021), 211-232 - [Article]
A. Perasso, Q. Richard. Asymptotic behavior of age-structured and delayed Lotka-Volterra models, SIAM Journal on Mathematical Analysis, 52(5) (2020), 4284–4313 - [Article]
T. Moulin, A. Perasso, E. Venturino. A Metaecoepidemic Model of Grassland Ecosystem with Only Consumers’ Migration, Bulletin of Mathematical Biology, 82(88) (2020) - [Article]
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 - [Article]
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 - [Article]
A. Perasso. An introduction to the basic reproduction number in mathematical epidemiology, Esaim : Proceedings and Surveys, 62 (2018), 123-138 - [Article]
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 - [Article]
E. Dangbe, Damakoa Irépran, A. Perasso, D. Békollé. Mathematical modelling and numerical simulations of the influence of hygiene and seasons on the spread of cholera, Mathematical Biosciences, 296 (2018), 60-70 - [Article]
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 - [Article]
E. Dangbé, D. Békollé, Damakoa 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 - [Article]
M. Duprez, A. Perasso. Criterion of positivity for semilinear problems with applications in biology, Positivity, 21(4) (2017), 1383-1392 - [Article]
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) - [Article]
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 - [Article]
B. Laroche, A. Perasso. Threshold behaviour of a SI epidemiological model with two structuring variables, Journal of Evolution Equations, 216(2) (2016), 293-315 - [Article]
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 - [Article]
J.M. Bahi, C. Guyeux, A. Perasso. Chaos in DNA Evolution, International Journal of Biomathematics, 9(5) (2016) - [Article]
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 - [Article]
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) - [Article]
J.M. Bahi, C. Guyeux, A. Perasso. Relaxing the Hypotheses of Symmetry and Time-Reversibility in Genome Evolutionary Models, Journal of Advances in Mathematics and Computer Science, 5(4) (2015), 439-455 - [Article]
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 - [Article]
A. Perasso, U. Razafison. Infection load structured SI model with exponential velocity and external source of contamination, Proceedings of the World Congress on Engineering, Vol. I (2013), 263—267, London (2013)
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 - [Article]
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 - [Article]
A. Perasso, B. Laroche and S. Touzeau. Identifiability analysis of an epidemiological PDE model, Proceedings of the International Symposium of Mathematical Theory of Networks and Systems (MTNS), Budapest (2010)
A. Perasso. L’inversion de Fourier dans L1(R), Revue de la Filière Mathématique (RMS), 120(3) (2010), 39-50
A. Perasso and B. Laroche. Well-posedness of an epidemiological problem described by an evolution PDE, ESAIM : Proceedings and Surveys, 25 (2008), 29-43 - [Article]
A. Perasso. Analyse de systèmes d’équations différentielles et aux dérivées partielles structurées modélisant des interactions de type proie/prédateur et épidémiologique. Habilitation à Diriger des Recherches (Septembre 2017)
A. Perasso. Identifiabilité de paramètres pour des systèmes décrits par des équations aux dérivées partielles ; Application à la dynamique des populations. Thèse de 3ème cycle (Novembre 2009)
A. Perasso, B. Laroche and S. Touzeau. Identifiability analysis of an epidemiological model in a structured population. RT2009-5 INRA (2009).
MPDEE, 2022. Models in Population Dynamics, Ecology and Evolution, Turin (Italie), juin 2022
Ecole CIMPA "Mathematical models in biology and related applications of partial differential equations", La Havane (Cuba), juin 2019
Workshop on PDE and their applications, Le Havre (France), juin 2019
DSABNS, 2018. Ninth Workshop Dynamical Systems Applied to Biology and Natural Sciences, Turin (Italie), février 2018
CDPS, 2017. Control of Distributed Parameter Systems, Bordeaux (France), juillet 2017
Ecole CIMPA "Mathematical models in biology and medicine", Moka (Île Maurice), décembre 2016
Workshop on Evolution Equations, Besançon (France), mars 2015
ICMCB, 2015. International Conference On Mathematical and Computational Biology, Kanpur (Inde), février-mars 2015
AIMS, 2014. AIMS Conference on Dynamical Systems, Differential Equations and Applications, Madrid (Espagne), juillet 2014
Present challenges of mathematics in oncology and biology of cancer : modeling and mathematical analysis, Luminy (France), Mars 2012
Conference of the European GDR Control of PDEs, Marseille (France), Novembre 2011