Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (12)
  • Open Access


    A Restricted SIR Model with Vaccination Effect for the Epidemic Outbreaks Concerning COVID-19

    Ibtehal Alazman1, Kholoud Saad Albalawi1, Pranay Goswami2,*, Kuldeep Malik2

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2409-2425, 2023, DOI:10.32604/cmes.2023.028674

    Abstract This paper presents a restricted SIR mathematical model to analyze the evolution of a contagious infectious disease outbreak (COVID-19) using available data. The new model focuses on two main concepts: first, it can present multiple waves of the disease, and second, it analyzes how far an infection can be eradicated with the help of vaccination. The stability analysis of the equilibrium points for the suggested model is initially investigated by identifying the matching equilibrium points and examining their stability. The basic reproduction number is calculated, and the positivity of the solutions is established. Numerical simulations More >

  • Open Access


    Fractional Order Modeling of Predicting COVID-19 with Isolation and Vaccination Strategies in Morocco

    Lakhlifa Sadek1, Otmane Sadek1, Hamad Talibi Alaoui2, Mohammed S. Abdo3, Kamal Shah4,5, Thabet Abdeljawad4,6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1931-1950, 2023, DOI:10.32604/cmes.2023.025033

    Abstract In this work, we present a model that uses the fractional order Caputo derivative for the novel Coronavirus disease 2019 (COVID-19) with different hospitalization strategies for severe and mild cases and incorporate an awareness program. We generalize the SEIR model of the spread of COVID-19 with a private focus on the transmissibility of people who are aware of the disease and follow preventative health measures and people who are ignorant of the disease and do not follow preventive health measures. Moreover, individuals with severe, mild symptoms and asymptomatically infected are also considered. The basic reproduction… More >

  • Open Access


    A Detailed Mathematical Analysis of the Vaccination Model for COVID-19

    Abeer S. Alnahdi1,*, Mdi B. Jeelani1, Hanan A. Wahash2, Mansour A. Abdulwasaa3,4

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1315-1343, 2023, DOI:10.32604/cmes.2022.023694

    Abstract This study aims to structure and evaluate a new COVID-19 model which predicts vaccination effect in the Kingdom of Saudi Arabia (KSA) under Atangana-Baleanu-Caputo (ABC) fractional derivatives. On the statistical aspect, we analyze the collected statistical data of fully vaccinated people from June 01, 2021, to February 15, 2022. Then we apply the Eviews program to find the best model for predicting the vaccination against this pandemic, based on daily series data from February 16, 2022, to April 15, 2022. The results of data analysis show that the appropriate model is autoregressive integrated moving average… More >

  • Open Access


    Automatic Annotation Performance of TextBlob and VADER on Covid Vaccination Dataset

    Badriya Murdhi Alenzi, Muhammad Badruddin Khan, Mozaherul Hoque Abul Hasanat, Abdul Khader Jilani Saudagar*, Mohammed AlKhathami, Abdullah AlTameem

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1311-1331, 2022, DOI:10.32604/iasc.2022.025861

    Abstract With the recent boom in the corpus size of sentiment analysis tasks, automatic annotation is poised to be a necessary alternative to manual annotation for generating ground truth dataset labels. This article aims to investigate and validate the performance of two widely used lexicon-based automatic annotation approaches, TextBlob and Valence Aware Dictionary and Sentiment Reasoner (VADER), by comparing them with manual annotation. The dataset of 5402 Arabic tweets was annotated manually, containing 3124 positive tweets, 1463 negative tweets, and 815 neutral tweets. The tweets were translated into English so that TextBlob and VADER could be More >

  • Open Access


    A Hybrid Grey DEMATEL and PLS-SEM Model to Investigate COVID-19 Vaccination Intention

    Phi-Hung Nguyen1,2,*

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5059-5078, 2022, DOI:10.32604/cmc.2022.027630

    Abstract The main objective of this study is to comprehensively investigate individuals’ vaccination intention against COVID-19 during the second wave of COVID-19 spread in Vietnam using a novel hybrid approach. First, the Decision-Making Trial and Evaluation Laboratory based on Grey Theory (DEMATEL-G) was employed to explore the critical factors of vaccination intention among individuals. Second, Partial Least Squares-Structural Equation Modeling (PLS-SEM) was applied to test the hypotheses of individual behavioral intention to get the vaccine to prevent the outbreak of COVID-19. A panel of 661 valid respondents was collected from June 2021 to July 2021, and… More >

  • Open Access


    Should we continue breastfeeding after SARS-CoV-2 infection or mRNA vaccination?


    BIOCELL, Vol.46, No.6, pp. 1425-1433, 2022, DOI:10.32604/biocell.2022.019868

    Abstract The coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has posed a potential threat to infant health. The World Health Organization recommended that the benefits of breastfeeding far outweigh the potential risk of transmission, but there is no denying that the current evidence is insufficient. Moreover, although the COVID-19 mRNA vaccine has played an effective role in protection against infection, individuals have increasing concerns about the safety of breastfeeding after vaccination, and which have caused some breastfeeding women to postpone vaccination or stop breastfeeding early. Thus, in this… More >

  • Open Access


    Acceptability of Elderly Cancer Patients and Tolerance to COVID-19 Vaccination in the Brittany Region
    L’acceptabilité du Patient Âgé Porteur de Cancer et la Tolérance à la Vaccination Anti-COVID-19 dans la Région Bretagne

    Delphine Déniel1,2,*, Fabienne Le Goc-Le Sager1, Paul Touchard3, Véronique Marty4, Laurence Hasle5, Véronique Jestin Le Tallec6, Monique Jegaden7, Annaïk Pestel8, Virginie Jannou5, Sophie Pentecôte9, Laurence Guen1,2, Christophe Perrin1,10, Sandrine Estivin1,3

    Oncologie, Vol.23, No.4, pp. 453-461, 2021, DOI:10.32604/oncologie.2021.019964

    Abstract Context: Since January 2021, vaccination for COVID-19 has been made possible in France for people aged 75 and over. Patients suffering from a cancer disease are part of a group at risk to develop severe complications to COVID-19. Method: The « Unité de coordination en Onco-Gériatrie région Bretagne » (the Brittany This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Coordinating Unit in Onco-Geriatrics) has wished to set up an inquest about the acceptability and the tolerance… More >

  • Open Access


    Sensitivity Analysis of COVID-19 in Mediterranean Island

    Ahmet Savasan1, Bilgen Kaymakamzade1,2, Nezihal Gokbulut1,2,*, Evren Hincal1,2, Elcin Yoldascan3

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 133-148, 2022, DOI:10.32604/cmes.2022.017815

    Abstract The aim of this study is to examine the progress of the worldwide pandemic Covid-19. As authors, we have decided to analyze the situation of COVID-19 on Mediterranean island with accurate data. For this purpose, a mathematical model is constructed and proposed by dividing the whole population into sensible and suitable compartments. The study captures the dates February 01 till May 15, 2021. For the control of the spread of disease, vaccination and infection rates are compared and calculated. During calculations and comparison, MatLab software is used. All of the data that are used are… More >

  • Open Access


    Prediction of Suitable Candidates for COVID-19 Vaccination

    R. Sujatha1, B. Venkata Siva Krishna1, Jyotir Moy Chatterjee2, P. Rahul Naidu1, NZ Jhanjhi3,*, Challa Charita1, Eza Nerin Mariya1, Mohammed Baz4

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 525-541, 2022, DOI:10.32604/iasc.2022.021216

    Abstract In the current times, COVID-19 has taken a handful of people’s lives. So, vaccination is crucial for everyone to avoid the spread of the disease. However, not every vaccine will be perfect or will get success for everyone. In the present work, we have analyzed the data from the Vaccine Adverse Event Reporting System and understood that the vaccines given to the people might or might not work considering certain demographic factors like age, gender, and multiple other variables like the state of living, etc. This variable is considered because it explains the unmentioned variables… More >

  • Open Access


    VacChain: A Blockchain-Based EMR System to Manage Child Vaccination Records

    Azza Abdullah Alnssayan, Mohammad Mahdi Hassan*, Suliman A. Alsuhibany

    Computer Systems Science and Engineering, Vol.40, No.3, pp. 927-945, 2022, DOI:10.32604/csse.2022.016734

    Abstract The digitalization of healthcare-related information service systems has become a trend across the world. However, several crucial services are still provided manually due to a lack of trust in digital solutions. One such service is keeping records of children’s vaccination, which still relies on a paper-based file system in most parts of the world. This approach causes serious data integrity problems. Recently, healthcare has become a potential application area of the blockchain, as it can preserve and protect highly sensitive private medical records while sharing these records in a decentralized manner without losing personal ownership. More >

Displaying 1-10 on page 1 of 12. Per Page