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  • Open Access

    ARTICLE

    A Comprehensive Investigation of Machine Learning Feature Extraction and Classification Methods for Automated Diagnosis of COVID-19 Based on X-ray Images

    Mazin Abed Mohammed1, Karrar Hameed Abdulkareem2, Begonya Garcia-Zapirain3, Salama A. Mostafa4, Mashael S. Maashi5, Alaa S. Al-Waisy1, Mohammed Ahmed Subhi6, Ammar Awad Mutlag7, Dac-Nhuong Le8,9,*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3289-3310, 2021, DOI:10.32604/cmc.2021.012874

    Abstract The quick spread of the Coronavirus Disease (COVID-19) infection around the world considered a real danger for global health. The biological structure and symptoms of COVID-19 are similar to other viral chest maladies, which makes it challenging and a big issue to improve approaches for efficient identification of COVID-19 disease. In this study, an automatic prediction of COVID-19 identification is proposed to automatically discriminate between healthy and COVID-19 infected subjects in X-ray images using two successful moderns are traditional machine learning methods (e.g., artificial neural network (ANN), support vector machine (SVM), linear kernel and radial… More >

  • Open Access

    ARTICLE

    Optimal Control Model for the Transmission of Novel COVID-19

    Isa Abdullahi Baba1,*, Bashir Ahmad Nasidi1, Dumitru Baleanu2,3,4

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3089-3106, 2021, DOI:10.32604/cmc.2021.012301

    Abstract As the corona virus (COVID-19) pandemic ravages socio-economic activities in addition to devastating infectious and fatal consequences, optimal control strategy is an effective measure that neutralizes the scourge to its lowest ebb. In this paper, we present a mathematical model for the dynamics of COVID-19, and then we added an optimal control function to the model in order to effectively control the outbreak. We incorporate three main control efforts (isolation, quarantine and hospitalization) into the model aimed at controlling the spread of the pandemic. These efforts are further subdivided into five functions; u1(t) (isolation of the… More >

  • Open Access

    REVIEW

    COVID-19: Review on Its Etiology, Pathogenesis, and Existence in Humans

    VIVEK KUMAR, VISHNU AGARWAL*

    BIOCELL, Vol.44, No.4, pp. 461-467, 2020, DOI:10.32604/biocell.2020.011090

    Abstract The world is facing a new healthcare crisis with the rise and spread of novel coronavirus since December 2019. Also known as Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2), the disease associated with SARSCoV-2 is even called COVID-19. The infection is said to have originated from the bat community and transmitted to humans through an intermediate host (yet unknown) in Wuhan, in the Hubei region of China. COVID-19 is having a pulverizing impact on the scientific community. As of August 13, 2020, the number of confirmed cases had reached up to 20,439,814 and the death More >

  • Open Access

    ARTICLE

    Applying Health Belief Model to Unveil Employees’ Workplace COVID-19 Protective Behaviors: Insights for the Hospitality Industry

    Hamed Rezapouraghdam1, Osman M. Karatepe2,*

    International Journal of Mental Health Promotion, Vol.22, No.4, pp. 233-247, 2020, DOI:10.32604/IJMHP.2020.013214

    Abstract The overwhelming majority of the countries around the globe have witnessed severe cases of the COVID-19 outbreak. Unfortunately, many countries are still beset with such an infectious disease. Despite the fact that there is currently no specific approved cure for this deadly infection, restrictions (e.g., lockdown and border closing) are gradually eased. Meanwhile, businesses are reopening and outdoor leisure activities are about to start again based on strict health, social distancing, and hygiene rules. However, as we still have a long way to reach an ultimate treatment for such deadly virus, changing human behavior sounds… More >

  • Open Access

    ARTICLE

    Estimating the Impact of COVID-19 Pandemic on the Research Community in the Kingdom of Saudi Arabia

    Abdulaziz Attaallah1, Masood Ahmad2, Adil Hussain Seh2, Alka Agrawal2, Rajeev Kumar2,3,*, Raees Ahmad Khan2

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 419-436, 2021, DOI:10.32604/cmes.2021.014263

    Abstract Ever since its outbreak in Wuhan, COVID-19 has cloaked the entire world in a pall of despondency and uncertainty. The present study describes the exploratory analysis of all COVID cases in Saudi Arabia. Besides, the study has executed the forecasting model for predicting the possible number of COVID-19 cases in Saudi Arabia till a defined period. Towards this intent, the study analyzed different age groups of patients (child, adult, elderly) who were affected by COVID-19. The analysis was done city-wise and also included the number of recoveries recorded in different cities. Furthermore, the study also… More >

  • Open Access

    ARTICLE

    Real-Time Analysis of COVID-19 Pandemic on Most Populated Countries Worldwide

    Meenu Gupta1, Rachna Jain2, Akash Gupta2,*, Kunal Jain2

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 943-965, 2020, DOI:10.32604/cmes.2020.012467

    Abstract The spread of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has already taken on pandemic extents, inuencing even more than 200 nations in a couple of months. Although, regulation measures in China have decreased new cases by over 98%, this decrease is not the situation everywhere, and most of the countries still have been affected by it. The objective of this research work is to make a comparative analysis of the top 5 most populated countries namely United States, India, China, Pakistan and Indonesia, from 1st January 2020 to 31st July 2020. This research… More >

  • Open Access

    ARTICLE

    Predictive Models for Cumulative Confirmed COVID-19 Cases by Day in Southeast Asia

    Yupaporn Areepong1, Rapin Sunthornwat2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 927-942, 2020, DOI:10.32604/cmes.2020.012323

    Abstract Coronavirus disease 2019 outbreak has spread as a pandemic since the end of year 2019. This situation has been causing a lot of problems of human beings such as economic problems, health problems. The forecasting of the number of infectious people is required by the authorities of all countries including Southeast Asian countries to make a decision and control the outbreak. This research is to investigate the suitable forecasting model for the number of infectious people in Southeast Asian countries. A comparison of forecasting models between logistic growth curve which is symmetric and Gompertz growth More >

  • Open Access

    ARTICLE

    Investigation of Coronavirus Deposition in Realistic Human Nasal Cavity and Impact of Social Distancing to Contain COVID-19: A Computational Fluid Dynamic Approach

    Mohammad Zuber1, John Valerian Corda1, Milad Ahmadi2, B. Satish Shenoy1, Irfan Anjum Badruddin3,*, Ali E. Anqi3, Kamarul Arifin Ahmad4, S. M. Abdul Khader5, Leslie Lewis6, Mohammad Anas Khan7, Sarfaraz Kamangar3

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1185-1199, 2020, DOI:10.32604/cmes.2020.015015

    Abstract The novel coronavirus responsible for COVID-19 has spread to several countries within a considerably short period. The virus gets deposited in the human nasal cavity and moves to the lungs that might be fatal. As per safety guidelines by the World Health Organization (WHO), social distancing has emerged as one of the major factors to avoid the spread of infection. However, different guidelines are being followed across the countries with regards to what should be the safe distance. Thus, the current work is an attempt to understand the virus deposition pattern in the realistic human… More >

  • Open Access

    ARTICLE

    Modelling the Effect of Self-Immunity and the Impacts of Asymptomatic and Symptomatic Individuals on COVID-19 Outbreak

    M. H. A. Biswas1,*, M. A. Islam1, S. Akter2, S. Mandal2, M. S. Khatun1, S. A. Samad1, A. K. Paul1, M. R. Khatun1

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1033-1060, 2020, DOI:10.32604/cmes.2020.012792

    Abstract COVID-19 is one of the most highly infectious diseases ever emerged and caused by newly discovered severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It has already led the entire world to health and economic crisis. It has invaded the whole universe all most every way. The present study demonstrates with a nine mutually exclusive compartmental model on transmission dynamics of this pandemic disease (COVID-19), with special focus on the transmissibility of symptomatic and asymptomatic infection from susceptible individuals. Herein, the compartmental model has been investigated with mathematical analysis and computer simulations in order to understand… More >

  • Open Access

    ARTICLE

    SEIHCRD Model for COVID-19 Spread Scenarios, Disease Predictions and Estimates the Basic Reproduction Number, Case Fatality Rate, Hospital, and ICU Beds Requirement

    Avaneesh Singh*, Manish Kumar Bajpai

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 991-1031, 2020, DOI:10.32604/cmes.2020.012503

    Abstract We have proposed a new mathematical method, the SEIHCRD model, which has an excellent potential to predict the incidence of COVID-19 diseases. Our proposed SEIHCRD model is an extension of the SEIR model. Three-compartments have added death, hospitalized, and critical, which improves the basic understanding of disease spread and results. We have studied COVID-19 cases of six countries, where the impact of this disease in the highest are Brazil, India, Italy, Spain, the United Kingdom, and the United States. After estimating model parameters based on available clinical data, the model will propagate and forecast dynamic… More >

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