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  • Open Access

    ARTICLE

    Mathematical Modelling of Rotavirus Disease Through Efficient Methods

    Ali Raza*

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4727-4740, 2022, DOI:10.32604/cmc.2022.027044

    Abstract The design of evolutionary approaches has a vital role in the recent development of scientific literature. To tackle highly nonlinear complex problems, nonlinear ordinary differential equations, partial differential equations, stochastic differential equations, and many more may called computational algorithms. The rotavirus causes may include severe diarrhea, vomiting, and fever leading to rapid dehydration. By the report of the World Health Organization (WHO), approximately 600,000 children die worldwide each year, 80 percent of whom live in developing countries. Two million children are hospitalized each year. In Asia, up to 45 percent of the children hospitalized for diarrhea may be infected with… More >

  • Open Access

    ARTICLE

    Optimization of Head Cluster Selection in WSN by Human-Based Optimization Techniques

    Hajer Faris1, Musaria Karim Mahmood2, Osama Ahmad Alomari3,*, Ashraf Elnagar4

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5643-5661, 2022, DOI:10.32604/cmc.2022.026228

    Abstract Wireless sensor networks (WSNs) are characterized by their ability to monitor physical or chemical phenomena in a static or dynamic location by collecting data, and transmit it in a collaborative manner to one or more processing centers wirelessly using a routing protocol. Energy dissipation is one of the most challenging issues due to the limited power supply at the sensor node. All routing protocols are large consumers of energy, as they represent the main source of energy cost through data exchange operation. Cluster-based hierarchical routing algorithms are known for their good performance in energy conservation during active data exchange in… More >

  • Open Access

    ARTICLE

    A Novel Deep Learning Based Healthcare Model for COVID-19 Pandemic Stress Analysis

    Ankur Dumka1, Parag Verma2, Rajesh Singh3, Anil Kumar Bisht4, Divya Anand5,6,*, Hani Moaiteq Aljahdali7, Irene Delgado Noya6,8, Silvia Aparicio Obregon6,9

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 6029-6044, 2022, DOI:10.32604/cmc.2022.024698

    Abstract Coronavirus (COVID-19) has impacted nearly every person across the globe either in terms of losses of life or as of lockdown. The current coronavirus (COVID-19) pandemic is a rare/special situation where people can express their feelings on Internet-based social networks. Social media is emerging as the biggest platform in recent years where people spend most of their time expressing themselves and their emotions. This research is based on gathering data from Twitter and analyzing the behavior of the people during the COVID-19 lockdown. The research is based on the logic expressed by people in this perspective and emotions for the… More >

  • Open Access

    ARTICLE

    Bio-Inspired Computational Methods for the Polio Virus Epidemic Model

    Fatimah Abdulrahman Alrawajeh1, F. M. Allehiany2, Ali Raza3,*, Shaimaa A. M. Abdelmohsen4, Tahir Nawaz Cheema5, Muhammad Rafiq6, Muhammad Mohsin7

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2357-2374, 2022, DOI:10.32604/cmc.2022.024604

    Abstract In 2021, most of the developing countries are fighting polio, and parents are concerned with the disabling of their children. Poliovirus transmits from person to person, which can infect the spinal cord, and paralyzes the parts of the body within a matter of hours. According to the World Health Organization (WHO), 18 million currently healthy people could have been paralyzed by the virus during 1988–2020. Almost all countries but Pakistan, Afghanistan, and a few more have been declared polio-free. The mathematical modeling of poliovirus is studied in the population by categorizing it as susceptible individuals (S), exposed individuals (E), infected… More >

  • Open Access

    ARTICLE

    Numerical Analysis of Blood Flow through COVID-19 Infected Arteries

    Anupam Krishnan1, Anjana P. Anantharaman2,*

    Molecular & Cellular Biomechanics, Vol.19, No.2, pp. 77-88, 2022, DOI:10.32604/mcb.2022.018369

    Abstract Computational Fluid Dynamics has become relevant in the study of hemodynamics, where clinical results are challenging to obtain. This paper discusses a 2-Dimensional transient blood flow analysis through an arterial bifurcation for patients infected with the Coronavirus. The geometry considered is an arterial bifurcation with main stem diameter 3 mm and two outlets. The left outlet (smaller) has a diameter of 1.5 mm and the right outlet (larger), 2 mm. The length of the main stem, left branch and right branch are fixed at 35 mm, 20 mm and 25 mm respectively. Viscosity change that occurs in the blood leads… More >

  • Open Access

    ARTICLE

    Perceived Stress and Coping Styles among the General Population in Saudi Arabia during COVID-19 Pandemic

    Waleed A. Alghamdi1,2, Sami H. Alzahrani3, Saeed S. Shaaban1,*, Naseem A. Alhujaili2

    International Journal of Mental Health Promotion, Vol.24, No.3, pp. 361-373, 2022, DOI:10.32604/ijmhp.2022.017685

    Abstract This article examines the stress levels, coping responses, and influence of adaptive and maladaptive coping styles on stress in Saudi Arabia during the COVID-19 pandemic. An online cross-sectional survey was distributed to the attendees of a pandemic-related awareness webinars. The questionnaire assessed demographic and clinical characteristics, coping strategies (the brief COPE inventory), and stress levels (the Perceived Stress Scale). A multivariate linear regression analysis was conducted to assess the predictors of stress. The highest adaptive and maladaptive coping styles were reported for religion and self-distraction. Certain groups were independently more vulnerable to experience stress, including young- and middle-aged adults, females,… More >

  • Open Access

    ARTICLE

    Stochastic Epidemic Model of Covid-19 via the Reservoir-People Transmission Network

    Kazem Nouri1,*, Milad Fahimi1, Leila Torkzadeh1, Dumitru Baleanu2,3

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1495-1514, 2022, DOI:10.32604/cmc.2022.024406

    Abstract The novel Coronavirus COVID-19 emerged in Wuhan, China in December 2019. COVID-19 has rapidly spread among human populations and other mammals. The outbreak of COVID-19 has become a global challenge. Mathematical models of epidemiological systems enable studying and predicting the potential spread of disease. Modeling and predicting the evolution of COVID-19 epidemics in near real-time is a scientific challenge, this requires a deep understanding of the dynamics of pandemics and the possibility that the diffusion process can be completely random. In this paper, we develop and analyze a model to simulate the Coronavirus transmission dynamics based on Reservoir-People transmission network.… More >

  • Open Access

    ARTICLE

    Pandemic Analysis and Prediction of COVID-19 Using Gaussian Doubling Times

    Saleh Albahli1,*, Farman Hassan2, Ali Javed2,3, Aun Irtaza2,4

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 833-849, 2022, DOI:10.32604/cmc.2022.024267

    Abstract COVID-19 has become a pandemic, with cases all over the world, with widespread disruption in some countries, such as Italy, US, India, South Korea, and Japan. Early and reliable detection of COVID-19 is mandatory to control the spread of infection. Moreover, prediction of COVID-19 spread in near future is also crucial to better plan for the disease control. For this purpose, we proposed a robust framework for the analysis, prediction, and detection of COVID-19. We make reliable estimates on key pandemic parameters and make predictions on the point of inflection and possible washout time for various countries around the world.… More >

  • Open Access

    ARTICLE

    Investigation of SARS-CoV-2 Main Protease Potential Inhibitory Activities of Some Natural Antiviral Compounds Via Molecular Docking and Dynamics Approaches

    Nada M. Mostafa1,5,#, Muhammad I. Ismail2,#, Amr M. El-Araby3, Dina M. Bahgat1, Ahmed M. Elissawy1,5, Ahmed M. Mostafa4, Omayma A. Eldahshan1,5,*, Abdel Nasser B. Singab1,5,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 1089-1104, 2022, DOI:10.32604/phyton.2022.018239

    Abstract Coronaviruses caused an outbreak pandemic disease characterized by a severe acute respiratory distress syndrome leading to the infection of more than 200 million patients and the death of more than 4 million individuals. The primary treatment is either supportive or symptomatic. Natural products have an important role in the development of various drugs. Thus, screening of natural compounds with reported antiviral activities can lead to the discovery of potential inhibitory entities against coronaviruses. In the current study, an in-silico molecular docking experiment was conducted on the effects of some of these natural antiviral phytoconstituents, (e.g., procyanidin B2, theaflavin, quercetin, ellagic… More >

  • Open Access

    ARTICLE

    COVID-19 Lockdown in India: An Experimental Study on Promoting Mental Wellness Using a Chatbot during the Coronavirus

    V. P. Harshini Raji*, P. Uma Maheswari

    International Journal of Mental Health Promotion, Vol.24, No.2, pp. 189-205, 2022, DOI:10.32604/ijmhp.2022.011865

    Abstract India imposed the largest lockdown in the world in response to fight the spread of the Novel Coronavirus disease (COVID-19) from 19 March till 31 May 2020. The onset of the pandemic left the general public feeling psychosocially distressed, helpless, and anxious. The researcher developed a Messenger supported Chatbot, based on the broaden and build model, to cater to the healthy general public to promote positivity and mental well-being. 31 participants between 22 and 45 years old consensually took a pre-test, Chatbot intervention, and post-test. The Chatbot provided guided activities out of which positive affirmations, meditation, and exercises were mostly… More >

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