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  • Open Access

    ARTICLE

    Numerical Computation of SEIR Model for the Zika Virus Spreading

    Suthep Suantai1,2, Zulqurnain Sabir3,4, Muhammad Asif Zahoor Raja5, Watcharaporn Cholamjiak6,*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 2155-2170, 2023, DOI:10.32604/cmc.2023.034699 - 06 February 2023

    Abstract The purpose of this study is to present the numerical performances and interpretations of the SEIR nonlinear system based on the Zika virus spreading by using the stochastic neural networks based intelligent computing solver. The epidemic form of the nonlinear system represents the four dynamics of the patients, susceptible patients S(y), exposed patients hospitalized in hospital E(y), infected patients I(y), and recovered patients R(y), i.e., SEIR model. The computing numerical outcomes and performances of the system are examined by using the artificial neural networks (ANNs) and the scaled conjugate gradient (SCG) for the training of the networks, More >

  • Open Access

    REVIEW

    Zika virus in the eye of the cytokine storm

    Christopher Maucourant1,a, Gabriel Andrade Nonato Queiroz2,3,a, Assia Samri1, Maria Fernanda Rios Grassi2,3, Hans Yssel1, Vincent Vieillard1

    European Cytokine Network, Vol.30, No.3, pp. 74-81, 2019, DOI:10.1684/ecn.2019.0433

    Abstract Zika virus (ZIKV) is an emerging arbovirus that causes a mosquito-borne disease. Although infection with ZIKV generally leads to mild disease, its recent emergence in the Americas has been associated with an increase in the development of the Guillain-Barre´ syndrome in adults, as well as with neurological complications, in particular congenital microcephaly, in new-borns. Over the five past years, through the combined efforts of the scientific community, comprehensive remarkable progress aimed at deciphering the clinical, virological, physiopathological, and immunological features of ZIKV infection. This review highlights some of the most recent advances in our understanding More >

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