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Search Results (6)
  • Open Access

    ARTICLE

    Bayesian Convolution for Stochastic Epidemic Model

    Mukhsar1,*, Ansari Saleh Ahmar2, M. A. El Safty3, Hamed El-Khawaga4,5, M. El Sayed6

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1175-1186, 2022, DOI:10.32604/iasc.2022.025214

    Abstract Dengue Hemorrhagic Fever (DHF) is a tropical disease that always attacks densely populated urban communities. Some factors, such as environment, climate and mobility, have contributed to the spread of the disease. The Aedes aegypti mosquito is an agent of dengue virus in humans, and by inhibiting its life cycle it can reduce the spread of the dengue disease. Therefore, it is necessary to involve the dynamics of mosquito's life cycle in a model in order to obtain a reliable risk map for intervention. The aim of this study is to develop a stochastic convolution susceptible, infective, recovered-susceptible, infective (SIR-SI) model… More >

  • Open Access

    ARTICLE

    Computational Approximations for Real-World Application of Epidemic Model

    Shami A. M. Alsallami1, Ali Raza2,*, Mona Elmahi3, Muhammad Rafiq4, Shamas Bilal5, Nauman Ahmed6, Emad E. Mahmoud7

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1923-1939, 2022, DOI:10.32604/iasc.2022.024993

    Abstract The real-world applications and analysis have a significant role in the scientific literature. For instance, mathematical modeling, computer graphics, camera, operating system, Java, disk encryption, web, streaming, and many more are the applications of real-world problems. In this case, we consider disease modeling and its computational treatment. Computational approximations have a significant role in different sciences such as behavioral, social, physical, and biological sciences. But the well-known techniques that are widely used in the literature have many problems. These methods are not consistent with the physical nature and even violate the actual behavior of the continuous model. The structural properties… More >

  • Open Access

    REVIEW

    Plant Derived Antiviral Products for Potential Treatment of COVID-19: A Review

    Rashid Iqbal Khan1,*, Mazhar Abbas1, Khurram Goraya2, Muhammad Zafar-ul-Hye3, Subhan Danish3

    Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 438-452, 2020, DOI:10.32604/phyton.2020.010972

    Abstract COVID-19 caused by SARS-CoV-2 is declared global pandemic. The virus owing high resemblance with SARS-CoV and MERS-CoV has been placed in family of beta-coronavirus. However, transmission and infectivity rate of COVID-19 is quite higher as compared to other members of family. Effective management strategy with potential drug availability will break the virus transmission chain subsequently reduce the pressure on the healthcare system. Extensive research trials are underway to develop novel efficient therapeutics against SARS-CoV-2. In this review, we have discussed the origin and family of coronavirus, structure, genome and pathogenesis of virus SARS-CoV-2 inside human host cell; comparison among SARS,… More >

  • Open Access

    ARTICLE

    Predictors of inadequate initial echocardiography in suspected Kawasaki disease: Criteria for sedation

    Raymond P. Lorenzoni III1, Jaeun Choi2, Nadine F. Choueiter3, Iona M. Munjal1, Chhavi Katyal4, Kenan W. D. Stern3

    Congenital Heart Disease, Vol.13, No.3, pp. 470-475, 2018, DOI:10.1111/chd.12598

    Abstract Objective: Kawasaki disease is the primary cause of acquired pediatric heart disease in developed nations. Timely diagnosis of Kawasaki disease incorporates transthoracic echocardiography for visualization of the coronary arteries. Sedation improves this visualization, but not without risks and resource utilization. To identify potential sedation criteria for suspected Kawasaki disease, we analyzed factors associated with diagnostically inadequate initial transthoracic echocardiography performed without sedation.
    Design: This retrospective review of patients < 18 years old undergoing initial transthoracic echocardiography for the inpatient evaluation of suspected Kawasaki disease from 2009 to 2015 occurred at a medium-sized urban children’s hospital. The primary outcome was diagnostically… More >

  • Open Access

    REVIEW

    Coxiella burnetii: living inside the host cell

    Jesus Sebastian DISTEL1, Walter BERON1, Rodolfo Matias ORTIZ FLORES1,2

    BIOCELL, Vol.43, No.1, pp. 1-6, 2019, DOI:10.32604/biocell.2019.07021

    Abstract Coxiella burnetii is an obligate intracellular pathogen and the causative agent of Q fever. In this brief review, we describe how recently described mechanisms help our understanding of C. burnetii invasion and its survival in the host cell by the formation of a replicative niche: the Coxiella-containing vacuole. We describe the actin-associated proteins involved in the internalization of C. burnetii, and we discuss the contribution of diverse degradation pathways of the cell during the formation and stabilization of the Coxiella-containing vacuole. More >

  • Open Access

    ARTICLE

    A Reliable Stochastic Numerical Analysis for Typhoid Fever Incorporating With Protection Against Infection

    Muhammad Shoaib Arif1,*, Ali Raza1, Muhammad Rafiq2, Mairaj Bibi3, Rabia Fayyaz3, Mehvish Naz3, Umer Javed4

    CMC-Computers, Materials & Continua, Vol.59, No.3, pp. 787-804, 2019, DOI:10.32604/cmc.2019.04655

    Abstract In this paper, a reliable stochastic numerical analysis for typhoid fever incorporating with protection against infection has been considered. We have compared the solutions of stochastic and deterministic typhoid fever model. It has been shown that the stochastic typhoid fever model is more realistic as compared to the deterministic typhoid fever model. The effect of threshold number T* hold in stochastic typhoid fever model. The proposed framework of the stochastic non-standard finite difference scheme (SNSFD) preserves all dynamical properties like positivity, bounded-ness and dynamical consistency defined by Mickens, R. E. The stochastic numerical simulation of the model showed that increase… More >

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