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  • Open Access

    ARTICLE

    Prediction of COVID-19 Cases Using Machine Learning for Effective Public Health Management

    Fahad Ahmad1,*, Saleh N. Almuayqil2, Mamoona Humayun2, Shahid Naseem3, Wasim Ahmad Khan4, Kashaf Junaid5

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2265-2282, 2021, DOI:10.32604/cmc.2021.013067

    Abstract COVID-19 is a pandemic that has affected nearly every country in the world. At present, sustainable development in the area of public health is considered vital to securing a promising and prosperous future for humans. However, widespread diseases, such as COVID-19, create numerous challenges to this goal, and some of those challenges are not yet defined. In this study, a Shallow Single-Layer Perceptron Neural Network (SSLPNN) and Gaussian Process Regression (GPR) model were used for the classification and prediction of confirmed COVID-19 cases in five geographically distributed regions of Asia with diverse settings and environmental conditions: namely, China, South Korea,… 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 toll to 744,385, affecting more… More >

  • Open Access

    REVIEW

    Antimicrobial Materials: New Strategies to Tackle Various Pandemics

    Samarjeet Singh Siwal1,2, Qibo Zhang1,3,*, Adesh Kumar Saini4, Vijay Kumar Thakur5,6,*

    Journal of Renewable Materials, Vol.8, No.12, pp. 1543-1563, 2020, DOI:10.32604/jrm.2020.014597

    Abstract Coronaviruses are responsible for a developing budgetary, human and fatality trouble, as the causative factor of infections, for example, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It has been well recognized that SARS-CoV-2 may survive under severe atmosphere circumstances. Hence, efficient containment approaches, for example, sanitizing, are crucial. Commonly, living compounds contribute a substance of chemical heterogeneity, with antiviral movement, and therefore can have efficacy as therapeutic tools toward coronavirus diseases. Here, in this review article, we have described the antimicrobialbased materials, which can be used to inhibit the spreading of the COVID-19. We have categorized these materials in three… More >

  • Open Access

    ARTICLE

    Potential Inhibitory Effect of Vitamins Against COVID-19

    Kashaf Junaid1,*, Sumera Qasim2, Humaira Yasmeen3, Hasan Ejaz1, Abdullah Alsrhani1, Muhammad Ikram Ullah1, Fahad Ahmad4, Abdul Rehman5

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 707-714, 2021, DOI:10.32604/cmc.2020.012976

    Abstract Coronavirus disease 2019 (COVID-19) is a current pandemic that has affected more than 195 countries worldwide. In this severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, when treatment strategies are not yet clear and vaccines are not available, vitamins are an excellent choice to protect against this viral infection. The rationale behind this study was to examine the inhibitory effect of vitamins B, C, and D against the main protease of SARSCoV-2 and angiotensin-converting enzyme 2 (ACE2), which have critical rolesin the immune system. Molecular docking, performed by using MOE-Dock of the Chemical Computing Group, was used to understand the… More >

  • Open Access

    ARTICLE

    Prediction of COVID-19 Confirmed Cases Using Gradient Boosting Regression Method

    Abdu Gumaei1,2,*, Mabrook Al-Rakhami1, Mohamad Mahmoud Al Rahhal3, Fahad Raddah H. Albogamy3, Eslam Al Maghayreh3, Hussain AlSalman1

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 315-329, 2021, DOI:10.32604/cmc.2020.012045

    Abstract The fast spread of coronavirus disease (COVID-19) caused by SARSCoV-2 has become a pandemic and a serious threat to the world. As of May 30, 2020, this disease had infected more than 6 million people globally, with hundreds of thousands of deaths. Therefore, there is an urgent need to predict confirmed cases so as to analyze the impact of COVID-19 and practice readiness in healthcare systems. This study uses gradient boosting regression (GBR) to build a trained model to predict the daily total confirmed cases of COVID-19. The GBR method can minimize the loss function of the training process and… More >

  • Open Access

    ARTICLE

    A Novel Heuristic Algorithm for the Modeling and Risk Assessment of the COVID-19 Pandemic Phenomenon

    Panagiotis G. Asteris1,*, Maria G. Douvika1, Chrysoula A. Karamani1, Athanasia D. Skentou1, Katerina Chlichlia2, Liborio Cavaleri3, Tryfon Daras4, Danial J. Armaghani5, Theoklis E. Zaoutis6

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 815-828, 2020, DOI:10.32604/cmes.2020.013280

    Abstract The modeling and risk assessment of a pandemic phenomenon such as COVID-19 is an important and complicated issue in epidemiology, and such an attempt is of great interest for public health decision-making. To this end, in the present study, based on a recent heuristic algorithm proposed by the authors, the time evolution of COVID-19 is investigated for six different countries/states, namely New York, California, USA, Iran, Sweden and UK. The number of COVID-19-related deaths is used to develop the proposed heuristic model as it is believed that the predicted number of daily deaths in each country/state includes information about the… 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

    REVIEW

    Plant Derived Antiviral Products for Potential Treatment of COVID-19: A Review

    Rashid Iqbal Khan1,*, Mazhar Abbas1, Khurram Goraya2, Muhammad Zafar-ul-Hye3, Subhan Danish3

    Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 438-452, 2020, DOI:10.32604/phyton.2020.010972

    Abstract COVID-19 caused by SARS-CoV-2 is declared global pandemic. The virus owing high resemblance with SARS-CoV and MERS-CoV has been placed in family of beta-coronavirus. However, transmission and infectivity rate of COVID-19 is quite higher as compared to other members of family. Effective management strategy with potential drug availability will break the virus transmission chain subsequently reduce the pressure on the healthcare system. Extensive research trials are underway to develop novel efficient therapeutics against SARS-CoV-2. In this review, we have discussed the origin and family of coronavirus, structure, genome and pathogenesis of virus SARS-CoV-2 inside human host cell; comparison among SARS,… More >

  • Open Access

    REVIEW

    Updated thoughts on SARS-CoV-2 and coronavirus therapies, fighting and surviving

    WENJUAN LI*, GE SONG

    BIOCELL, Vol.44, No.2, pp. 127-135, 2020, DOI:10.32604/biocell.2020.010018

    Abstract From late December 2019 a new human-adapted coronavirus, SARS-CoV-2, was observed and isolated in clustered patients in Wuhan, China. It has been proved to be able to transmit human-to-human and cause pneumonia, leading to about 2% fatality. Its genome characteristics, immune responses and related potential treatments, such as chemical drugs, serum transfusion and vaccines including DNA vaccines, are discussed in this review for a brief summary. More >

  • Open Access

    ARTICLE

    Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity

    Xiangao Jiang1, Megan Coffee2, 3, *, Anasse Bari4, *, Junzhang Wang4, Xinyue Jiang5, Jianping Huang1, Jichan Shi1, Jianyi Dai1, Jing Cai1, Tianxiao Zhang6, Zhengxing Wu1, Guiqing He1, Yitong Huang7

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 537-551, 2020, DOI:10.32604/cmc.2020.010691

    Abstract The virus SARS-CoV2, which causes coronavirus disease (COVID-19) has become a pandemic and has spread to every inhabited continent. Given the increasing caseload, there is an urgent need to augment clinical skills in order to identify from among the many mild cases the few that will progress to critical illness. We present a first step towards building an artificial intelligence (AI) framework, with predictive analytics (PA) capabilities applied to real patient data, to provide rapid clinical decision-making support. COVID-19 has presented a pressing need as a) clinicians are still developing clinical acumen to this novel disease and b) resource limitations… More >

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