Leila Khouaja ; Slimane Ben Miled ; Hassan Hbid - Population dynamics modelling

arima:2553 - Revue Africaine de Recherche en Informatique et Mathématiques Appliquées, December 5, 2016, Volume 22 - 2016-2018 - https://doi.org/10.46298/arima.2553
Population dynamics modellingArticle

Authors: Leila Khouaja 1; Slimane Ben Miled 2,1; Hassan Hbid 3

Epidemiology had an important development these last years allowing the resolution of a large number of problems and had good prediction on disease evolution. However, the transmission of several vector-borne diseases is closely connected to environmental protagonists, specially in the parasite-host interaction. Moreover, understanding the disease transmission is related to studying the ecology of all protagonists. These two levels of complexity(epidemiology and ecology) cannot be separated and have to be studied as a whole in a systematic way. Our goal is to understand the interaction of climate change on the evolution of a disease when the vector has ecological niche that depends on physiological state of development. We are particularly interested in tick vector diseases which are serious health problem affecting humans as well as domestic animals in many parts of the world. These infections are transmitted through a bite of an infected tick, and it appears that most of these infections are widely present in some wildlife species.

Volume: Volume 22 - 2016-2018
Published on: December 5, 2016
Accepted on: November 29, 2016
Submitted on: November 29, 2016
Keywords: Partial differential equation(PDE), Transport equation,Epidémiology, McKendrick-Von Foerster equation, Equation de transport, Equations aux dérivées partielles, Equation de McKendrick-Von Foerster,Epidemiologie, ,[MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP],[SDV.EE.BIO] Life Sciences [q-bio]/Ecology, environment/Bioclimatology

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