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  • Open Access

    EDITORIAL

    Introduction to the Special Issue Psychological Assistance for Public during the Pandemic of COVID-19

    Mingyi Qian1, Rodney Goodyear2, Guangrong Jiang3,*, Zhihong Ren3

    International Journal of Mental Health Promotion, Vol.22, No.3, pp. 105-107, 2020, DOI:10.32604/IJMHP.2020.013483

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    An Application Review of Artificial Intelligence in Prevention and Cure of COVID-19 Pandemic

    Peipeng Yu1, Zhihua Xia1, *, Jianwei Fei1, Sunil Kumar Jha1, 2

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 743-760, 2020, DOI:10.32604/cmc.2020.011391

    Abstract Coronaviruses are a well-known family of viruses that can infect humans or animals. Recently, the new coronavirus (COVID-19) has spread worldwide. All countries in the world are working hard to control the coronavirus disease. However, many countries are faced with a lack of medical equipment and an insufficient number of medical personnel because of the limitations of the medical system, which leads to the mass spread of diseases. As a powerful tool, artificial intelligence (AI) has been successfully applied to solve various complex problems ranging from big data analysis to computer vision. In the process More >

  • Open Access

    ARTICLE

    Analysis of Twitter Data Using Evolutionary Clustering during the COVID-19 Pandemic

    Ibrahim Arpaci1, Shadi Alshehabi2, Mostafa Al-Emran3, *, Mahmoud Khasawneh4, Ibrahim Mahariq4, Thabet Abdeljawad5, 6, 7, Aboul Ella Hassanien8, 9

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 193-204, 2020, DOI:10.32604/cmc.2020.011489

    Abstract People started posting textual tweets on Twitter as soon as the novel coronavirus (COVID-19) emerged. Analyzing these tweets can assist institutions in better decision-making and prioritizing their tasks. Therefore, this study aimed to analyze 43 million tweets collected between March 22 and March 30, 2020 and describe the trend of public attention given to the topics related to the COVID-19 epidemic using evolutionary clustering analysis. The results indicated that unigram terms were trended more frequently than bigram and trigram terms. A large number of tweets about the COVID-19 were disseminated and received widespread public attention… More >

  • Open Access

    ARTICLE

    Managing the Adult Congenital Heart Disease Patient in the COVID-19 Pandemic—A New York Perspective

    Jodi L. Feinberg1, Frank Cecchin1,2, Arianna Gonzalez1, Emily Johnson2, Dan G. Halpern1,*

    Congenital Heart Disease, Vol.15, No.3, pp. 141-146, 2020, DOI:10.32604/CHD.2020.012039

    Abstract Adults with congenital heart disease (ACHD) are likely at increased risk for complications of COVID-19. ACHD centers should prepare to deliver routine cardiac care and support for patients with COVID-19 safely at home, as the number of COVID-19 infections worldwide continues to increase. This brief report aims to share the strategies we have used in our ACHD program to manage and treat our patients during this global health crisis at one of the initial epicenters of the pandemic in New York City, and offer suggestions for preparation for ACHD clinicians. More >

  • Open Access

    ARTICLE

    Mathematical Analysis of Novel Coronavirus (2019-nCov) Delay Pandemic Model

    Muhammad Naveed1, Muhammad Rafiq2, Ali Raza3, Nauman Ahmed4, Ilyas Khan5, *, Kottakkaran Sooppy Nisar6, Atif Hassan Soori1

    CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1401-1414, 2020, DOI:10.32604/cmc.2020.011314

    Abstract In this manuscript, the mathematical analysis of corona virus model with time delay effect is studied. Mathematical modelling of infectious diseases has substantial role in the different disciplines such as biological, engineering, physical, social, behavioural problems and many more. Most of infectious diseases are dreadful such as HIV/AIDS, Hepatitis and 2019-nCov. Unfortunately, due to the non-availability of vaccine for 2019- nCov around the world, the delay factors like, social distancing, quarantine, travel restrictions, holidays extension, hospitalization and isolation are used as key tools to control the pandemic of 2019-nCov. We have analysed the reproduction number RnCov More >

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