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    Mathematical modeling and numerical simulations of Zika in Colombia considering mutation

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    TY - GEN T1 - Mathematical modeling and numerical simulations of Zika in Colombia considering mutation UR - http://hdl.handle.net/20.500.12495/2762 PB - Elsevier AB - ER - @misc{20.500.12495_2762, author = {}, title = {Mathematical modeling and numerical simulations of Zika in Colombia considering mutation}, year = {}, abstract = {}, url = {http://hdl.handle.net/20.500.12495/2762} }RT Generic T1 Mathematical modeling and numerical simulations of Zika in Colombia considering mutation LK http://hdl.handle.net/20.500.12495/2762 PB Elsevier AB OL Spanish (121)
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    Author
    Aranda, Diego F.
    González Parra, Gilberto
    Benincasa, Tommaso
    Date
    2019
    Published in
    Mathematics and Computers in Simulation, 0378-4754, Vol 163, 2019, pag 1-18
    Published for
    Elsevier
    URI
    http://hdl.handle.net/20.500.12495/2762
    Source's URL
    https://www.sciencedirect.com/science/article/abs/pii/S0378475419300679
    DOI
    https://doi.org/10.1016/j.matcom.2019.02.009

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    Abstract
    In this paper, we analyze the Zika virus transmission dynamics on human and mosquito populations. Mosquitoes play a role of infectious agents and vector of the Zika virus (ZIKV). In this sense, we set out a mathematical model assuming constant size population for the evolution of the infected humans with ZIKV and analyze its qualitative dynamics. The epidemic threshold parameter for the extinction of disease is computed. Numerical simulations of the model varying the numerical values of the parameters corroborate the theoretical results regarding . The values of the parameters related to the mathematical model of the Zika epidemic are estimated using real data from Zika prevalence in Colombia for year 2016. We find a for this particular case which allows us to understand and explain some aspects of the Zika epidemic in Colombia. These results are valuable since they can be compared with Zika epidemics in other countries and from other years, and enrich the knowledge about the dynamics of the spread of Zika virus.
    Keywords
    Zika virus
    Nonlinear dynamical systems
    Epidemiological models
    Global stability
    Estimation of parameters
    Topics
    Virus Zika
    Epidemiología
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