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Analysis of a Dengue Disease Model with Nonlinear Incidence
Author(s) -
Shu-Min Guo,
Xue-Zhi Li,
Mini Ghosh
Publication year - 2013
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2013/320581
Subject(s) - dengue fever , nonlinear system , stability (learning theory) , bifurcation , incidence (geometry) , epidemic model , mathematics , control theory (sociology) , computer science , physics , virology , geometry , medicine , population , artificial intelligence , environmental health , control (management) , quantum mechanics , machine learning
A dengue disease epidemic model with nonlinear incidence is formulated and analyzed. The equilibria and threshold of the model are found. The stability of the system is analyzed through a geometric approach to stability. The proposed model also exhibits backward bifurcation under suitable conditions on parameters. Our results imply that a nonlinear incidence produces rich dynamics and they should be studied carefully in order to analyze the spread of disease more accurately. Finally, numerical simulations are presented to illustrate the analytical findings

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