Mashael Khayyat^1,*, Kaouther Laabidi², Nada Almalki¹, Maysoon Al-zahrani¹

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3781-3793, 2021, DOI:10.32604/cmc.2021.014918 - 01 March 2021

Abstract COVID-19 comes from a large family of viruses identified in 1965; to date, seven groups have been recorded which have been found to affect humans. In the healthcare industry, there is much evidence that Al or machine learning algorithms can provide effective models that solve problems in order to predict confirmed cases, recovered cases, and deaths. Many researchers and scientists in the field of machine learning are also involved in solving this dilemma, seeking to understand the patterns and characteristics of virus attacks, so scientists may make the right decisions and take specific actions. Furthermore,… More >

Muhammad Farman¹, Aqeel Ahmad¹, Ali Akgül^2,*, Muhammad Umer Saleem³, Muhammad Naeem⁴, Dumitru Baleanu^5,6,7

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3215-3227, 2021, DOI:10.32604/cmc.2021.014006 - 01 March 2021

Abstract Today, coronavirus appears as a serious challenge to the whole world. Epidemiological data of coronavirus is collected through media and web sources for the purpose of analysis. New data on COVID-19 are available daily, yet information about the biological aspects of SARS-CoV-2 and epidemiological characteristics of COVID-19 remains limited, and uncertainty remains around nearly all its parameters’ values. This research provides the scientific and public health communities better resources, knowledge, and tools to improve their ability to control the infectious diseases. Using the publicly available data on the ongoing pandemic, the present study investigates the… More >

Qin An¹, Jun Gao², Zhiqin Sang³, Mingyi Qian^4,*

International Journal of Mental Health Promotion, Vol.23, No.1, pp. 87-98, 2021, DOI:10.32604/IJMHP.2021.014422 - 19 February 2021

Abstract When COVID-19 pandemic hit China, Chinese clinical psychologists, counselors and other practitioners reacted quickly to provide psychological interventions for different target groups. Different professional ethical concerns and potential transgressions arose during different stages of pandemic. This paper aimed to summarize different ethical concerns and transgressions during different stages of pandemic in China, as well as how the professional ethical workgroup in the registration system of clinical psychologists and professional organizations of Chinese Psychological Society (CPS) to publish a series of documents as recommendations on ethical practice. It is hoped by providing a picture of “problems vs. More >

Guanghui Lei¹, Caihong Yang^2,#, Yan Ge^3,#, Yan Zhang^2,*, Yufei Xie^4,*, Jianwen Chen², Jinyang Wu⁵

International Journal of Mental Health Promotion, Vol.23, No.1, pp. 121-140, 2021, DOI:10.32604/IJMHP.2021.013072 - 19 February 2021

Abstract To explore the relationship between social support and sleep quality of community workers in Wuhan during the coronavirus disease 2019 (the COVID-19 infection epidemic), this research constructed a mediating effect model to explore the mediating psychological mechanism of social support influencing sleep quality of front-line community workers. A total of 500 front-line community workers in Wuhan were investigated. We used the perceived social support scale (PSSS), the Connor-Davidson Resilience Scale (CD-RISC), the perceived stress scale (PSS), and the Pittsburgh sleep quality index (PSQI) to measure social support, psychological resilience, perceived stress and sleep quality. Specifically,… More >

Mohamad Mahmoud Al Rahhal¹, Yakoub Bazi^2,*, Rami M. Jomaa³, Mansour Zuair², Naif Al Ajlan²

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2093-2110, 2021, DOI:10.32604/cmc.2021.014956 - 05 February 2021

Abstract With the rapid spread of the coronavirus disease 2019 (COVID-19) worldwide, the establishment of an accurate and fast process to diagnose the disease is important. The routine real-time reverse transcription-polymerase chain reaction (rRT-PCR) test that is currently used does not provide such high accuracy or speed in the screening process. Among the good choices for an accurate and fast test to screen COVID-19 are deep learning techniques. In this study, a new convolutional neural network (CNN) framework for COVID-19 detection using computed tomography (CT) images is proposed. The EfficientNet architecture is applied as the backbone… More >

Mohammed A. Aleid¹, Khaled A. Z. Alyamani², Mohieddine Rahmouni^2,3, Theyazn H. H. Aldhyani^2,*, Nizar Alsharif⁴, Mohammed Y. Alzahrani⁴

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2029-2047, 2021, DOI:10.32604/cmc.2021.014873 - 05 February 2021

Abstract This article aims to assess health habits, safety behaviors, and anxiety factors in the community during the novel coronavirus disease (COVID-19) pandemic in Saudi Arabia based on primary data collected through a questionnaire with 320 respondents. In other words, this paper aims to provide empirical insights into the correlation and the correspondence between socio-demographic factors (gender, nationality, age, citizenship factors, income, and education), and psycho-behavioral effects on individuals in response to the emergence of this new pandemic. To focus on the interaction between these variables and their effects, we suggest different methods of analysis, comprising… More >

Sally M. Elghamrawy¹, Aboul Ella Hassnien^2,*, Vaclav Snasel³

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2353-2371, 2021, DOI:10.32604/cmc.2021.014767 - 05 February 2021

Abstract Detecting COVID-19 cases as early as possible became a critical issue that must be addressed to avoid the pandemic’s additional spread and early provide the appropriate treatment to the affected patients. This study aimed to develop a COVID-19 diagnosis and prediction (AIMDP) model that could identify patients with COVID-19 and distinguish it from other viral pneumonia signs detected in chest computed tomography (CT) scans. The proposed system uses convolutional neural networks (CNNs) as a deep learning technology to process hundreds of CT chest scan images and speeds up COVID-19 case prediction to facilitate its containment.… More >

Theyazn H. H. Aldhyani^1,*, Melfi Alrasheed², Mosleh Hmoud Al-Adaileh³, Ahmed Abdullah Alqarni⁴, Mohammed Y. Alzahrani⁴, Ahmed H. Alahmadi⁵

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2141-2160, 2021, DOI:10.32604/cmc.2021.014498 - 05 February 2021

Abstract The Covid-19 epidemic poses a serious public health threat to the world, where people with little or no pre-existing human immunity can be more vulnerable to its effects. Thus, developing surveillance systems for predicting the Covid-19 pandemic at an early stage could save millions of lives. In this study, a deep learning algorithm and a Holt-trend model are proposed to predict the coronavirus. The Long-Short Term Memory (LSTM) and Holt-trend algorithms were applied to predict confirmed numbers and death cases. The real time data used has been collected from the World Health Organization (WHO). In… More >

Syeda Javeria Shoukat¹, Humaira Afzal², Muhammad Rafiq Mufti³, Muhammad Khalid Sohail⁴, Dost Muhammad Khan⁵, Nadeem Akhtar⁵, Shahid Hussain^6,*, Mansoor Ahmed¹

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1835-1847, 2021, DOI:10.32604/cmc.2021.014397 - 05 February 2021

Abstract Context: Since the end of 2019, the COVID-19 pandemic had a worst impact on world’s economy, healthcare, and education. There are several aspects where the impact of COVID-19 could be visualized. Among these, one aspect is the productivity of researcher, which plays a significant role in the success of an organization. Problem: There are several factors that could be aligned with the researcher’s productivity of each domain and whose analysis through researcher’s feedback could be beneficial for decision makers in terms of their decision making and implementation of mitigation plans for the success of an organization. Method:… More >

Siddhant Banyal¹, Rinky Dwivedi², Koyel Datta Gupta², Deepak Kumar Sharma^3,*, Fadi Al-Turjman⁴, Leonardo Mostarda⁵

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1679-1696, 2021, DOI:10.32604/cmc.2021.014387 - 05 February 2021

Abstract The COVID-19 outbreak initiated from the Chinese city of Wuhan and eventually affected almost every nation around the globe. From China, the disease started spreading to the rest of the world. After China, Italy became the next epicentre of the virus and witnessed a very high death toll. Soon nations like the USA became severely hit by SARS-CoV-2 virus. The World Health Organisation, on 11th March 2020, declared COVID-19 a pandemic. To combat the epidemic, the nations from every corner of the world has instituted various policies like physical distancing, isolation of infected population and… More >