Nazife Sultanoglu^1,2,*, Nezihal Gokbulut³, Tamer Sanlidag², Evren Hincal^2,3, Bilgen Kaymakamzade^2,3, Murat Sayan^2,4

CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.2, pp. 717-729, 2021, DOI:10.32604/cmes.2021.016297

Abstract Northern Cyprus has implemented relatively strict measures in the battle against the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The measures were introduced at the beginning of the COVID-19 pandemic, in order to prevent the spread of the disease. One of these measures was the use of two separate real-time reverse transcription polymerase chain reaction (rRT-PCR) tests for SARS-CoV-2 referred to as the double screening procedure, which was adopted following the re-opening of the sea, air and land borders for passengers after the first lockdown. The rRT-PCR double screening procedure involved reporting a negative rRT-PCR test which was… More >

Anoud Bani-Hani^1,*, Anaïs Lavorel², Newel Bessadet³

CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3895-3913, 2021, DOI:10.32604/cmc.2021.015355

Abstract Since December 2019, a new pandemic has appeared causing a considerable negative global impact. The SARS-CoV-2 first emerged from China and transformed to a global pandemic within a short time. The virus was further observed to be spreading rapidly and mutating at a fast pace, with over 5,775 distinct variations of the virus observed globally (at the time of submitting this paper). Extensive research has been ongoing worldwide in order to get a better understanding of its behaviour, influence and more importantly, ways for reducing its impact. Data analytics has been playing a pivotal role in this research to obtain… More >

Wael Alosaimi¹, Rajeev Kumar^2,*, Abdullah Alharbi¹, Hashem Alyami³, Alka Agrawal⁴, Gaurav Kaithwas⁵, Sanjay Singh⁶, Raees Ahmad Khan⁴

Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 617-628, 2021, DOI:10.32604/iasc.2021.016703

Abstract COVID-19 pandemic has unleashed an unprecedented humanitarian crisis in the world at present. With each passing day, the number of patients afflicted with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is rising at an alarming pace, so much so that some countries are now combating the second wave of the contagion. As the death ratio due to the Virus increases, the medical fraternity and pharmacologists are working relentlessly to identify and prescribe a standardized and effective course of treatment for treating COVID-19 patients. However, medical specialists are confused about opting for the most efficacious course of treatment because the patients… More >

YASHVI SHARMA, SUCHI GUPTA, SUJATA MOHANTY^*

BIOCELL, Vol.45, No.3, pp. 517-520, 2021, DOI:10.32604/biocell.2021.014621

Abstract In these times of despair when a nano-sized organism, the SARS-CoV-2, has rendered the human race helpless, made the global health status decline, and drowned the world economy, a ray of hope comes from another nano-sized particle, the exosome. The potential of mesenchymal stem cells has already been established in COVID-19; however, cell-based therapy has its risks. We thereby propose cell-free therapy using stem cells-derived exosomes to fight against COVID-19, as they can be a game-changer owing to their immunomodulatory nature, which combats the cytokine storm characterizing this disease, and their practical efficiency, which will realistically aid large access to… More >

Huma¹, Muhammad Khalid Sohail², Nadeem Akhtar³, Dost Muhammad³, Humaira Afzal⁴, Muhammad Rafiq Mufti⁵, Shahid Hussain^6,*, Mansoor Ahmed¹

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3737-3748, 2021, DOI:10.32604/cmc.2021.014398

Abstract This study aims to identify the potential association of mental health and social media forum during the outbreak of COVID-19 pandemic. COVID-19 brings a lot of challenges to government globally. Among the different strategies the most extensively adopted ones were lockdown, social distancing, and isolation among others. Most people with no mental illness history have been found with high risk of distress and psychological discomfort due to anxiety of being infected with the virus. Panic among people due to COVID-19 spread faster than the disease itself. The misinformation and excessive usage of social media in this pandemic era have adversely… More >

Fahad Ahmad^1,*, 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 >

Samarjeet Singh Siwal^1,2, Qibo Zhang^1,3,*, Adesh Kumar Saini⁴, Vijay Kumar Thakur^5,6,*

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 >

Kashaf Junaid^1,*, 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 >

Abdu Gumaei^1,2,*, 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 >

Panagiotis G. Asteris^1,*, 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 >