Saeed M. Alshahrani¹, Jameel Almalki², Waleed Alshehri², Rashid Mehmood³, Marwan Albahar², Najlaa Jannah², Nayyar Ahmed Khan^1,*

Computer Systems Science and Engineering, Vol.47, No.2, pp. 1793-1817, 2023, DOI:10.32604/csse.2023.039648 - 28 July 2023

Abstract Artificial Intelligence (AI) has gained popularity for the containment of COVID-19 pandemic applications. Several AI techniques provide efficient mechanisms for handling pandemic situations. AI methods, protocols, data sets, and various validation mechanisms empower the users towards proper decision-making and procedures to handle the situation. Despite so many tools, there still exist conditions in which AI must go a long way. To increase the adaptability and potential of these techniques, a combination of AI and Bigdata is currently gaining popularity. This paper surveys and analyzes the methods within the various computational paradigms used by different researchers More >

Mohammed A. Al Ghamdi^*

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 881-894, 2023, DOI:10.32604/cmc.2023.037826 - 08 June 2023

Abstract Considerable resources, technology, and efforts are being utilized worldwide to eradicate the coronavirus. Although certain measures taken to prevent the further spread of the disease have been successful, efforts to completely wipe out the coronavirus have been insufficient. Coronavirus patients have symptoms similar to those of chest Tuberculosis (TB) or pneumonia patients. Chest tuberculosis and coronavirus are similar because both diseases affect the lungs, cause coughing and produce an irregular respiratory system. Both diseases can be confirmed through X-ray imaging. It is a difficult task to diagnose COVID-19, as coronavirus testing kits are neither excessively… More >

Mohammad Aslefallah¹, Şuayip Yüzbaşi², Saeid Abbasbandy^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1687-1706, 2023, DOI:10.32604/cmes.2023.025647 - 06 February 2023

Abstract In this work, the exponential approximation is used for the numerical simulation of a nonlinear SITR model as a system of differential equations that shows the dynamics of the new coronavirus (COVID-19). The SITR mathematical model is divided into four classes using fractal parameters for COVID-19 dynamics, namely, susceptible (S), infected (I), treatment (T), and recovered (R). The main idea of the presented method is based on the matrix representations of the exponential functions and their derivatives using collocation points. To indicate the usefulness of this method, we employ it in some cases. For error More > Graphic Abstract

Michael Galvin^1,2,3,*, Guesly Michel³, Henri-Claude Saintelmond⁴, Carolyn Lesorogol⁵, Jean-François Trani⁵, Lora Iannotti⁵

International Journal of Mental Health Promotion, Vol.25, No.2, pp. 173-191, 2023, DOI:10.32604/ijmhp.2023.018800 - 02 February 2023

Abstract In recent decades, Haiti has been subject to man-made and natural disasters that have left its citizens vulnerable to a range of shocks. With a weak state unable to protect its populace, Haitians are exposed to some of the highest levels of poverty and violence in the Western Hemisphere. In recent years, Haitians have experienced two crises that this study analyzes: the instability and political violence of “peyi lòk” as well as the global pandemic of COVID-19. This community-based assessment explores the impact of these two crises on the mental health and psychological well-being of… More >

Manal. M. Alqarni¹, Arooj Nasir^2,3, Dumitru Baleanu^4,5,6, Ali Raza⁷, Tahir Nawaz Cheema^8,*, Nauman Ahmed⁹, Muhammad Rafiq¹⁰, Umbreen Fatima¹¹, Emad E. Mahmoud¹²

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6807-6822, 2023, DOI:10.32604/cmc.2023.033283 - 28 December 2022

Abstract Artificial intelligence is demonstrated by machines, unlike the natural intelligence displayed by animals, including humans. Artificial intelligence research has been defined as the field of study of intelligent agents, which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals. The techniques of intelligent computing solve many applications of mathematical modeling. The research work was designed via a particular method of artificial neural networks to solve the mathematical model of coronavirus. The representation of the mathematical model is made via systems of nonlinear ordinary differential equations.… More >

Wencong Liu¹, Ahmed Mostafa Khalil^2,*, Rehab Basheer³, Yong Lin⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2715-2730, 2023, DOI:10.32604/cmes.2023.024755 - 23 November 2022

Abstract In early December 2019, a new virus named “2019 novel coronavirus (2019-nCoV)” appeared in Wuhan, China. The disease quickly spread worldwide, resulting in the COVID-19 pandemic. In the current work, we will propose a novel fuzzy soft modal (i.e., fuzzy-soft expert system) for early detection of COVID-19. The main construction of the fuzzy-soft expert system consists of five portions. The exploratory study includes sixty patients (i.e., forty males and twenty females) with symptoms similar to COVID-19 in (Nanjing Chest Hospital, Department of Respiratory, China). The proposed fuzzy-soft expert system depended on five symptoms of COVID-19 More > Graphic Abstract

Akram Ali Alhadad^1,2,*, Omar Tarawneh³, Reham R. Mostafa¹, Hazem M. El-Bakry¹

CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3333-3350, 2023, DOI:10.32604/cmc.2023.033413 - 31 October 2022

Abstract COVID-19 is the common name of the disease caused by the novel coronavirus (2019-nCoV) that appeared in Wuhan, China in 2019. Discovering the infected people is the most important factor in the fight against the disease. The gold-standard test to diagnose COVID-19 is polymerase chain reaction (PCR), but it takes 5–6 h and, in the early stages of infection, may produce false-negative results. Examining Computed Tomography (CT) images to diagnose patients infected with COVID-19 has become an urgent necessity. In this study, we propose a residual attention deep support vector data description SVDD (RADSVDD) approach… More >

Emily Berger^1,*, Negar Jamshidi², Andrea Reupert¹

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 619-634, 2022, DOI:10.32604/ijmhp.2022.013177 - 27 July 2022

Abstract A recent rapid review highlighted the negative psychological impacts of quarantining during coronavirus outbreaks on the public. However, to date, there has been no review of the psychological impacts of coronavirus on adults using research from community samples and not restricted to people quarantined during coronavirus. A rapid review was conducted to provide timely evidence about the mental health implications of coronavirus outbreaks on adults and to inform psychological research concerning the current COVID-19 outbreak. Three databases and Google Scholar were searched and a total of 27 studies were identified. Symptoms of anxiety and depression… More >

Pranav Pushkar¹, Christo Ananth², Preeti Nagrath¹, Jehad F. Al-Amri⁵, Vividha¹, Anand Nayyar^3,4,*

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1601-1619, 2022, DOI:10.32604/cmc.2022.026205 - 18 May 2022

Abstract The study of viruses and their genetics has been an opportunity as well as a challenge for the scientific community. The recent ongoing SARS-Cov2 (Severe Acute Respiratory Syndrome) pandemic proved the unpreparedness for these situations. Not only the countermeasures for the effect caused by virus need to be tackled but the mutation taking place in the very genome of the virus is needed to be kept in check frequently. One major way to find out more information about such pathogens is by extracting the genetic data of such viruses. Though genetic data of viruses have… More >

MOHAMED SALEM^1,2, MOHAMMAD EL-METWALLY³, WESAMELDIN SABER^4,*, SALLY NEGM^5,6, ATTALLA EL-KOTT^7.8, YASSER MAZROUA^9,10, ABEER MAKHLOUF¹¹, MAHMOUD MOUSTAFA^7,12

BIOCELL, Vol.46, No.8, pp. 1979-1988, 2022, DOI:10.32604/biocell.2022.019301 - 22 April 2022

Abstract Profound inspection of the life forms on the earth teaches how to be the complexity of interrelationships among the various systems. Because of the emergence of novel viruses all the time and the inadequate of vaccines and antivirals, viral contagions are amongst the most causative diseases affecting people worldwide. Fungi exemplify a massive source of bioactive molecules as, many fungal secondary metabolities like Oxoglyantrypine, Carneic acid F, Scedapin C, Asteltoxin E, Phomanolide, Norquinadoline A and Quinadoline B have antiviral activity. This review deals with how secondary metabolites of fungi can help in the war against More >