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  • Open Access

    ARTICLE

    College Students’ Academic Stressors on Mental Health during the COVID-19 Pandemic: A Comparison between Graduating Students and Non-Graduating Students

    Jiaqi Yang1, Yanwen Zhang2, Peng Li2,3,4, Huan Zhang2,3,4, Tour Liu2,3,4,*

    International Journal of Mental Health Promotion, Vol.24, No.4, pp. 603-618, 2022, DOI:10.32604/ijmhp.2022.019406

    Abstract The study aimed to investigate the influence of academic stressors on mental health and the mediating effect of social support and self-identity among college students and further studied the difference between the graduating students and non-graduating students during the COVID-19 Pandemic. Recruiting 900 college students as subjects, used the college students’ academic stressors questionnaire, social support questionnaire, self-identity scale and depression anxiety stress scales (DASS-21). The results showed that: (1) The college students’ academic stressor positively predicted mental health; (2) Social support and self-identity mediated the relationship; (3) The model also held when academic stressors was replaced by work stressor,… More >

  • Open Access

    ARTICLE

    Multitasking Behavior and Perceptions of Academic Performance in University Business Students in Mexico during the COVID-19 Pandemic

    Victoria Gonzáles-Gutierrez1, Aldo Alvarez-Risco2, Alfredo Estrada-Merino2, María de las Mercedes Anderson-Seminario2, Sabina Mlodzianowska2, Shyla Del-Aguila-Arcentales3, Jaime A. Yáñez4,5,*

    International Journal of Mental Health Promotion, Vol.24, No.4, pp. 565-581, 2022, DOI:10.32604/ijmhp.2022.021176

    Abstract The current study measures the influence of multitasking behavior and self-efficacy for self-regulated learning (SESRL) on perceptions of academic performance and views in university students during the COVID-19 pandemic in Mexico. 264 university students fulfilled an online questionnaire. It was observed that multitasking behavior negatively influences SESRL (−0.203), while SESRL showed a positive influence of 0.537 on perceptions of academic performance, and multitasking behavior had an influence of −0.097 on the perception of academic performance. Cronbach’s alpha and Average Variance Extracted values were 0.809 and 0.577 (multitasking behavior), 0.819 and 0.626 (SESRL), 0.873 and 0.725 (perceptions of academic performance), respectively.… More >

  • Open Access

    ARTICLE

    A Novel Deep Learning Based Healthcare Model for COVID-19 Pandemic Stress Analysis

    Ankur Dumka1, Parag Verma2, Rajesh Singh3, Anil Kumar Bisht4, Divya Anand5,6,*, Hani Moaiteq Aljahdali7, Irene Delgado Noya6,8, Silvia Aparicio Obregon6,9

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 6029-6044, 2022, DOI:10.32604/cmc.2022.024698

    Abstract Coronavirus (COVID-19) has impacted nearly every person across the globe either in terms of losses of life or as of lockdown. The current coronavirus (COVID-19) pandemic is a rare/special situation where people can express their feelings on Internet-based social networks. Social media is emerging as the biggest platform in recent years where people spend most of their time expressing themselves and their emotions. This research is based on gathering data from Twitter and analyzing the behavior of the people during the COVID-19 lockdown. The research is based on the logic expressed by people in this perspective and emotions for the… More >

  • Open Access

    ARTICLE

    Relationship between Obsessive-Compulsive Symptoms and Anxiety Levels during the COVID-19 Pandemic in Healthcare Professionals vs. Non-Healthcare Professionals

    Faruk Kurhan1,*, 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 >

  • Open Access

    ARTICLE

    Perceived Stress and Coping Styles among the General Population in Saudi Arabia during COVID-19 Pandemic

    Waleed A. Alghamdi1,2, Sami H. Alzahrani3, Saeed S. Shaaban1,*, 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 >

  • Open Access

    ARTICLE

    Automatic Real-Time Medical Mask Detection Using Deep Learning to Fight COVID-19

    Mohammad Khalid Imam Rahmani1, Fahmina Taranum2, Reshma Nikhat3, Md. Rashid Farooqi3, Mohammed Arshad Khan4,*

    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 >

  • Open Access

    ARTICLE

    Depression, Anxiety, Stress and Their Association with the Use of Electronic Devices among Adolescents during the COVID-19 Pandemic

    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 >

  • Open Access

    ARTICLE

    Sparse Crowd Flow Analysis of Tawaaf of Kaaba During the COVID-19 Pandemic

    Durr-e-Nayab1, Ali Mustafa Qamar2,*, 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 >

  • Open Access

    ARTICLE

    An Automated Real-Time Face Mask Detection System Using Transfer Learning with Faster-RCNN in the Era of the COVID-19 Pandemic

    Maha Farouk S. Sabir1, Irfan Mehmood2,*, 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 >

  • Open Access

    ARTICLE

    COVID-19 Pandemic Prediction and Forecasting Using Machine Learning Classifiers

    Jabeen Sultana1,*, Anjani Kumar Singha2, Shams Tabrez Siddiqui3, Guthikonda Nagalaxmi4, Anil Kumar Sriram5, Nitish Pathak6

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1007-1024, 2022, DOI:10.32604/iasc.2022.021507

    Abstract COVID-19 is a novel virus that spreads in multiple chains from one person to the next. When a person is infected with this virus, they experience respiratory problems as well as rise in body temperature. Heavy breathlessness is the most severe sign of this COVID-19, which can lead to serious illness in some people. However, not everyone who has been infected with this virus will experience the same symptoms. Some people develop cold and cough, while others suffer from severe headaches and fatigue. This virus freezes the entire world as each country is fighting against COVID-19 and endures vaccination doses.… More >

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