Faruk Kurhan^1,*, Gülsüm Zuhal Kamış², Emine Füsun Akyüz Çim³, Abdullah Atli⁴, Dilem Dinc⁵

International Journal of Mental Health Promotion, Vol.24, No.3, pp. 399-413, 2022, DOI:10.32604/ijmhp.2022.019013

Abstract The present study investigated the effect of the COVID-19 pandemic on anxiety levels, contamination and responsibility/control obsessions and associated OC behaviors in healthcare versus non-healthcare professionals. The study also aimed to examine the relationship between anxiety levels and obsessive-compulsive (OC) symptom levels, gender, age, educational level, and personal and family history of chronic diseases. The 664 participants included 395 (59.5%) men and 269 (40.5%) women and comprised 180 (27.1%) healthcare professionals and 484 (72.9%) non-healthcare professionals. The survey included three data collection tools: (i) Sociodemographic data form, (ii) Beck Anxiety Inventory (BAI), and (iii) the Dimensional Obsessive-Compulsive Scale Abriged (DOCS-A)… More >

Waleed A. Alghamdi^1,2, Sami H. Alzahrani³, Saeed S. Shaaban^1,*, Naseem A. Alhujaili²

International Journal of Mental Health Promotion, Vol.24, No.3, pp. 361-373, 2022, DOI:10.32604/ijmhp.2022.017685

Abstract This article examines the stress levels, coping responses, and influence of adaptive and maladaptive coping styles on stress in Saudi Arabia during the COVID-19 pandemic. An online cross-sectional survey was distributed to the attendees of a pandemic-related awareness webinars. The questionnaire assessed demographic and clinical characteristics, coping strategies (the brief COPE inventory), and stress levels (the Perceived Stress Scale). A multivariate linear regression analysis was conducted to assess the predictors of stress. The highest adaptive and maladaptive coping styles were reported for religion and self-distraction. Certain groups were independently more vulnerable to experience stress, including young- and middle-aged adults, females,… More >

Saleh Albahli^1,*, Farman Hassan², Ali Javed^2,3, Aun Irtaza^2,4

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 833-849, 2022, DOI:10.32604/cmc.2022.024267

Abstract COVID-19 has become a pandemic, with cases all over the world, with widespread disruption in some countries, such as Italy, US, India, South Korea, and Japan. Early and reliable detection of COVID-19 is mandatory to control the spread of infection. Moreover, prediction of COVID-19 spread in near future is also crucial to better plan for the disease control. For this purpose, we proposed a robust framework for the analysis, prediction, and detection of COVID-19. We make reliable estimates on key pandemic parameters and make predictions on the point of inflection and possible washout time for various countries around the world.… More >

Hameed AlQaheri^1,*, Manash Sarkar², Saptarshi Gupta³, Bhavya Gaur⁴

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 497-517, 2022, DOI:10.32604/cmc.2022.022735

Abstract The most common alarming and dangerous disease in the world today is the coronavirus disease 2019 (COVID-19). The coronavirus is perceived as a group of coronaviruses which causes mild to severe respiratory diseases among human beings. The infection is spread by aerosols emitted from infected individuals during talking, sneezing, and coughing. Furthermore, infection can occur by touching a contaminated surface followed by transfer of the viral load to the face. Transmission may occur through aerosols that stay suspended in the air for extended periods of time in enclosed spaces. To stop the spread of the pandemic, it is crucial to… More >

Mohammad Khalid Imam Rahmani¹, Fahmina Taranum², Reshma Nikhat³, Md. Rashid Farooqi³, Mohammed Arshad Khan^4,*

Computer Systems Science and Engineering, Vol.42, No.3, pp. 1181-1198, 2022, DOI:10.32604/csse.2022.022014

Abstract The COVID-19 pandemic is a virus that has disastrous effects on human lives globally; still spreading like wildfire causing huge losses to humanity and economies. There is a need to follow few constraints like social distancing norms, personal hygiene, and masking up to effectively control the virus spread. The proposal is to detect the face frame and confirm the faces are properly covered with masks. By applying the concepts of Deep learning, the results obtained for mask detection are found to be effective. The system is trained using 4500 images to accurately judge and justify its accuracy. The aim is… More >

Ahmad Y. Alqassim^*, Mohamed S. Mahfouz, Mohammed M. Hakami, Abdullah A. Al Faqih, Ahmad A. Shugairi, Malek R. Alsanosy, Ahmed Y. Rayyani, AbdulAziz Y. Albrraq, Mohammed A. Muaddi, Abdullah A. Alharbi

International Journal of Mental Health Promotion, Vol.24, No.2, pp. 251-262, 2022, DOI:10.32604/ijmhp.2022.019000

Abstract Background: Adolescence is a critical, multifactorial developmental phase. With the current pandemic of COVID-19, excessive using of electronic devices is a public health concern. The aim of this study is to investigate the relationship between depression and the use of electronic devices among secondary school children in Jazan, Saudi Arabia during the COVID-19 pandemic. Materials and Methods: The study is an observational, cross-sectional study. Data was collected using an anonymous online survey instrument. including the Depression Anxiety Stress Scale. Results: A total of 427 participants were included in the study. The prevalence of depression, anxiety, and stress in our study… More >

Durr-e-Nayab¹, Ali Mustafa Qamar^2,*, Rehan Ullah Khan³, Waleed Albattah³, Khalil Khan⁴, Shabana Habib³, Muhammad Islam⁵

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5581-5601, 2022, DOI:10.32604/cmc.2022.022153

Abstract The advent of the COVID-19 pandemic has adversely affected the entire world and has put forth high demand for techniques that remotely manage crowd-related tasks. Video surveillance and crowd management using video analysis techniques have significantly impacted today's research, and numerous applications have been developed in this domain. This research proposed an anomaly detection technique applied to Umrah videos in Kaaba during the COVID-19 pandemic through sparse crowd analysis. Managing the Kaaba rituals is crucial since the crowd gathers from around the world and requires proper analysis during these days of the pandemic. The Umrah videos are analyzed, and a… More >

Abdelhamied A. Ateya^1,2, Abeer D. Algarni¹, Andrey Koucheryavy³, Naglaa. F. Soliman^1,2,*

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4677-4699, 2022, DOI:10.32604/cmc.2022.021850

Abstract Since World Health Organization (WHO) has declared the Coronavirus disease (COVID-19) a global pandemic, the world has changed. All life's fields and daily habits have moved to adapt to this new situation. According to WHO, the probability of such virus pandemics in the future is high, and recommends preparing for worse situations. To this end, this work provides a framework for monitoring, tracking, and fighting COVID-19 and future pandemics. The proposed framework deploys unmanned aerial vehicles (UAVs), e.g.; quadcopter and drone, integrated with artificial intelligence (AI) and Internet of Things (IoT) to monitor and fight COVID-19. It consists of two… More >

Ranya Fadlalla Elsheikh^1,2,*

Computer Systems Science and Engineering, Vol.42, No.2, pp. 813-823, 2022, DOI:10.32604/csse.2022.021645

Abstract The eruption of the novel Covid-19 has changed the socio-economic conditions of the world. The escalating number of infections and deaths seriously threatened human health when it became a pandemic from an epidemic. It developed into an alarming situation when the World Health Organization (WHO) declared a health emergency in MARCH 2020. The geographic settings and weather conditions are systematically linked to the spread of the epidemic. The concentration of population and weather attributes remains vital to study a pandemic such as Covid-19. The current work aims to explore the relationship of the population, weather conditions (humidity and temperature) with… More >

Maha Farouk S. Sabir¹, Irfan Mehmood^2,*, Wafaa Adnan Alsaggaf³, Enas Fawai Khairullah³, Samar Alhuraiji⁴, Ahmed S. Alghamdi⁵, Ahmed A. Abd El-Latif⁶

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 4151-4166, 2022, DOI:10.32604/cmc.2022.017865

Abstract Today, due to the pandemic of COVID-19 the entire world is facing a serious health crisis. According to the World Health Organization (WHO), people in public places should wear a face mask to control the rapid transmission of COVID-19. The governmental bodies of different countries imposed that wearing a face mask is compulsory in public places. Therefore, it is very difficult to manually monitor people in overcrowded areas. This research focuses on providing a solution to enforce one of the important preventative measures of COVID-19 in public places, by presenting an automated system that automatically localizes masked and unmasked human… More >