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  • Open Access


    Fractal Fractional Order Operators in Computational Techniques for Mathematical Models in Epidemiology

    Muhammad Farman1,2,4, Ali Akgül3,9,*, Mir Sajjad Hashemi5, Liliana Guran6,7, Amelia Bucur8,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1385-1403, 2024, DOI:10.32604/cmes.2023.028803

    Abstract New fractional operators, the COVID-19 model has been studied in this paper. By using different numerical techniques and the time fractional parameters, the mechanical characteristics of the fractional order model are identified. The uniqueness and existence have been established. The model’s Ulam-Hyers stability analysis has been found. In order to justify the theoretical results, numerical simulations are carried out for the presented method in the range of fractional order to show the implications of fractional and fractal orders. We applied very effective numerical techniques to obtain the solutions of the model and simulations. Also, we… More >

  • Open Access


    Epidemiology of Breast Cancer

    Chao Shang, Dongkui Xu*

    Oncologie, Vol.24, No.4, pp. 649-663, 2022, DOI:10.32604/oncologie.2022.027640

    Abstract All over the world, the most common malignancy in women is breast cancer. Breast cancer is also a significant factor of death in women. In 2020, approximately 2.3 million cases of breast cancer were newly diagnosed in women globally, and approximately 685,000 people died. Breast cancer incidence varies by region around the world, but it is all increasing. According to the current morbidity and mortality trend of breast cancer, it is estimated that by 2030, the number of incidence and deaths of breast cancer will reach 2.64 million and 1.7 million, respectively. The age-standardized incidence… More >

  • Open Access


    Optimal Kernel Extreme Learning Machine for COVID-19 Classification on Epidemiology Dataset

    Saud S. Alotaibi1, Amal Al-Rasheed2, Sami Althahabi3, Manar Ahmed Hamza4,*, Abdullah Mohamed5, Abu Sarwar Zamani4, Abdelwahed Motwakel4, Mohamed I. Eldesouki6

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3305-3318, 2022, DOI:10.32604/cmc.2022.029385

    Abstract Artificial Intelligence (AI) encompasses various domains such as Machine Learning (ML), Deep Learning (DL), and other cognitive technologies which have been widely applied in healthcare sector. AI models are utilized in healthcare sector in which the machines are used to investigate and make decisions based on prediction and classification of input data. With this motivation, the current study involves the design of Metaheuristic Optimization with Kernel Extreme Learning Machine for COVID-19 Prediction Model on Epidemiology Dataset, named MOKELM-CPED technique. The primary aim of the presented MOKELM-CPED model is to accomplish effectual COVID-19 classification outcomes using… More >

  • Open Access


    Stability Analysis of Predator-Prey System with Consuming Resource and Disease in Predator Species

    Asad Ejaz1, Yasir Nawaz1, Muhammad Shoaib Arif1,3,*, Daoud S. Mashat2, Kamaleldin Abodayeh3

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 489-506, 2022, DOI:10.32604/cmes.2022.019440

    Abstract The present study is concerned with formulating a predator-prey eco-epidemiological mathematical model assuming that an infection exists in the predator species. The two classes of predator species (susceptible and infected) compete for the same sources available in the environment with the predation option. It is assumed that the disease does not spread vertically. The proposed model is analyzed for the stability of the coexistence of the predators and prey. The fixed points are carried out, and the coexisting fixed point is studied in detail by constructing the Lyapunov function. The movement of species in search… More >

  • Open Access


    Indoor Electromagnetic Radiation Intensity Relationship to Total Energy of Household Appliances

    Murad A.A. Almekhlafi1, Lamia Osman Widaa2, Fahd N. Al-Wesabi3,*, Mohammad Alamgeer4, Anwer Mustafa Hilal5, Manar Ahmed Hamza5, Abu Sarwar Zamani5, Mohammed Rizwanullah5

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5421-5435, 2022, DOI:10.32604/cmc.2022.019823

    Abstract The rapid technological developments in the modern era have led to increased electrical equipment in our daily lives, work, and homes. From this standpoint, the main objective of this study is to evaluate the potential relationship between the intensity of electromagnetic radiation and the total energy of household appliances in the living environment within the building by measuring and analyzing the strength of the electric field and the entire electromagnetic radiation flux density of electrical devices operating at frequencies (5 Hz to 1 kHz). The living room was chosen as a center for measurement at… More >

  • Open Access


    Data-Fusion for Epidemiological Analysis of Covid-19 Variants in UAE

    Anoud Bani-Hani1,*, Anaïs Lavorel2, Newel Bessadet3

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3895-3913, 2021, DOI:10.32604/cmc.2021.015355

    Abstract Since December 2019, a new pandemic has appeared causing a considerable negative global impact. The SARS-CoV-2 first emerged from China and transformed to a global pandemic within a short time. The virus was further observed to be spreading rapidly and mutating at a fast pace, with over 5,775 distinct variations of the virus observed globally (at the time of submitting this paper). Extensive research has been ongoing worldwide in order to get a better understanding of its behaviour, influence and more importantly, ways for reducing its impact. Data analytics has been playing a pivotal role… More >

  • Open Access


    Épidémiologie des tumeurs neuroendocrines intestinales *
    Epidemiology of Neuroendrocine Intestinal Tumours

    C. Lepage

    Oncologie, Vol.21, No.2, pp. 113-117, 2019, DOI:10.3166/onco-2019-0051

    Abstract Little is known about the epidemiology of digestive neuroendocrine tumours (NETs). NETs remain a rare cancer, representing 1% of all digestive cancers. In France, incidence rates are estimated to around 1.1/100,000 inhabitants in males and 0.9/100,000 in females. The incidence rates got increased over time, with probably more than 1,000 new cases per year in France. Because of their relatively good prognosis, NETs are the second more prevalent digestive cancer after colorectal cancer. Most digestive NETs are well-differentiated (WDNETs); poorly differentiated neuroendocrine carcinomas (PDNEC) account for less than 20% of the cases in most of… More >

  • Open Access


    Epidemiological Analysis of the Coronavirus Disease Outbreak with Random Effects

    Muhammad Farman1, Aqeel Ahmad1, Ali Akgül2,*, Muhammad Umer Saleem3, Muhammad Naeem4, Dumitru Baleanu5,6,7

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3215-3227, 2021, DOI:10.32604/cmc.2021.014006

    Abstract Today, coronavirus appears as a serious challenge to the whole world. Epidemiological data of coronavirus is collected through media and web sources for the purpose of analysis. New data on COVID-19 are available daily, yet information about the biological aspects of SARS-CoV-2 and epidemiological characteristics of COVID-19 remains limited, and uncertainty remains around nearly all its parameters’ values. This research provides the scientific and public health communities better resources, knowledge, and tools to improve their ability to control the infectious diseases. Using the publicly available data on the ongoing pandemic, the present study investigates the… More >

  • Open Access


    Epidemiologic Evolution Platform Using Integrated Modeling and Geographic Information System

    Adrian Brezulianu1, Oana Geman2,*, Muhammad Arif3, Iuliana Chiuchisan2, Octavian Postolache2, Guojun Wang3

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1645-1663, 2021, DOI:10.32604/cmc.2021.014225

    Abstract At the international level, a major effort is being made to optimize the flow of data and information for health systems management. The studies show that medical and economic efficiency is strongly influenced by the level of development and complexity of implementing an integrated system of epidemiological monitoring and modeling. The solution proposed and described in this paper is addressed to all public and private institutions involved in the fight against the COVID-19 pandemic, using recognized methods and standards in this field. The Green-Epidemio is a platform adaptable to the specific features of any public… More >

  • Open Access


    Atrial Septal Defect in Children: The Incidence and Risk Factors for Diagnosis

    Gustaf Tanghöj1,*, Anna Lindam2, Petru Liuba3,4, Gunnar Sjöberg5, Estelle Naumburg1

    Congenital Heart Disease, Vol.15, No.5, pp. 287-299, 2020, DOI:10.32604/CHD.2020.011977

    Abstract Objective: Secundum atrial septal defect (ASD II) is a common congenital heart defect, and interatrial communications among preterm children is even more common. The objective of this study was to calculate the incidence of ASD II in children, with assessment to gestational age at birth. Further, to assess maternal, prenatal and postnatal risk factors associated with ASD II among children of different gestational age at birth. Design: This national registry based retrospective incidence study was supplemented with a national case-control study, using the Swedish Register of Congenial Heart Disease, Swedish Medical Birth Register and Statistics Sweden.… More >

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