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  • Open Access

    ARTICLE

    A Nonstandard Computational Investigation of SEIR Model with Fuzzy Transmission, Recovery and Death Rates

    Ahmed H. Msmali1, Fazal Dayan2,*, Muhammad Rafiq3, Nauman Ahmed4, Abdullah Ali H. Ahmadini1, Hassan A. Hamali5

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2251-2269, 2023, DOI:10.32604/cmc.2023.040266 - 29 November 2023

    Abstract In this article, a Susceptible-Exposed-Infectious-Recovered (SEIR) epidemic model is considered. The equilibrium analysis and reproduction number are studied. The conventional models have made assumptions of homogeneity in disease transmission that contradict the actual reality. However, it is crucial to consider the heterogeneity of the transmission rate when modeling disease dynamics. Describing the heterogeneity of disease transmission mathematically can be achieved by incorporating fuzzy theory. A numerical scheme nonstandard, finite difference (NSFD) approach is developed for the studied model and the results of numerical simulations are presented. Simulations of the constructed scheme are presented. The positivity,… More >

  • 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

    ARTICLE

    Using Susceptible-Exposed-Infectious-Recovered Model to Forecast Coronavirus Outbreak

    Debabrata Dansana1, Raghvendra Kumar1, Arupa Parida1, Rohit Sharma2, Janmejoy Das Adhikari1, Hiep Van Le3,*, Binh Thai Pham4, Krishna Kant Singh5, Biswajeet Pradhan6,7,8,9

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1595-1612, 2021, DOI:10.32604/cmc.2021.012646 - 05 February 2021

    Abstract The Coronavirus disease 2019 (COVID-19) outbreak was first discovered in Wuhan, China, and it has since spread to more than 200 countries. The World Health Organization proclaimed COVID-19 a public health emergency of international concern on January 30, 2020. Normally, a quickly spreading infection that could jeopardize the well-being of countless individuals requires prompt action to forestall the malady in a timely manner. COVID-19 is a major threat worldwide due to its ability to rapidly spread. No vaccines are yet available for COVID-19. The objective of this paper is to examine the worldwide COVID-19 pandemic,… More >

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