Meng Wang¹, Onkei Lei^1,2, Frankie U Kei Wong¹, Water Soi Po Wong¹, Walter Heung Chin Hui¹, Gasper Chi Hong Leong¹, Wenze Fang^1,3, Zhaowei Kong^1,*

International Journal of Mental Health Promotion, Vol.27, No.3, pp. 363-378, 2025, DOI:10.32604/ijmhp.2025.060875 - 31 March 2025

Abstract Background: This study evaluated physical fitness and mental health in young and elderly women 3 months after mild COVID-19 infection, and examined the impact of infection and age on long COVID occurrence and trajectory. Methods: There were 213 eligible female volunteers (107 young, 106 elderly) recruited approximately three months after the significant outbreak of COVID-19 in China. Participants completed a fitness test and mental health assessment using the Post-Traumatic Stress Disorder Self-Assessment Scale (PTSD) and the Pittsburgh Sleep Quality Inventory (PSQI). Results: Despite no significant difference in physical fitness, infected young and elderly females experienced poorer… More >

Mukul Mishra¹, Deeba Khan², Sehbanul Islam^1,*

BIOCELL, Vol.49, No.1, pp. 127-147, 2025, DOI:10.32604/biocell.2025.058038 - 24 January 2025

Abstract The COVID-19 pandemic, caused by the newly emerged coronavirus SARS-CoV-2, has resulted in unprecedented global health challenges, including millions of infections and deaths. While the direct effects of the virus are critical, the interplay between SARS-CoV-2 and cellular host factors significantly impacts the replication cycle of the virus and the clinical severity of COVID-19. This review provides a comprehensive analysis of host-pathogen interactions, focusing on the functional roles and regulatory mechanisms of SARS-CoV-2 viral proteins. We systematically review the literature to detail how SARS-CoV-2 engages with host cellular machinery, with a specific emphasis on their More >

Shira Cohen Rubin^1,*, Nadav Zacks¹, Ori Wand², Ophir Freund³, Evgeni Gershman³, Anna Breslavsky², Rotem Givoli-Vilensky¹, Anat Tzurel Ferber², Natalya Bilenko^1,4, Amir Bar-Shai³

European Cytokine Network, Vol.35, No.1, pp. 13-19, 2024, DOI:10.1684/ecn.2024.0494

Abstract COVID-19 vaccination and acute infection result in cellular and humoral immune responses with various degrees of protection. While most studies have addressed the difference in humoral response between vaccination and acute infection, studies on the cellular response are scarce. We aimed to evaluate differences in immune response among vaccinated patients versus those who had recovered from COVID-19. Materials and Methods: This was a prospective study in a tertiary medical centre. The vaccinated group included health care workers, who had received a second dose of the BNT162b2 vaccine 30 days ago. The recovered group included adults… More >

Shikha Kukreti^1,#, Min-Chi Hsieh^2,#, Musheer A. Aljaberi³, Ru-Yi Huang^4,5,6, I-Ting Hwang⁷, Carol Strong², Jung-Sheng Chen⁸, Ming-Ta Hsieh^9,10,*, Mark D. Griffiths¹¹, Chung-Ying Lin^12,13,*, Nai-Ying Ko¹

International Journal of Mental Health Promotion, Vol.26, No.12, pp. 987-996, 2024, DOI:10.32604/ijmhp.2024.057708 - 31 December 2024

Abstract Background: The COVID-19 pandemic profoundly impacted medical education and caused psychological distress and worry about clinical learning for those who received clinical medical education during this period. Although the acute phase of COVID-19 has now ended, understanding its impact is essential for strengthening medical system preparedness. Therefore, the present study examined the association between changes in medical education and worry about clinical learning, considering the mediating role of psychological distress among participants who received clinical training. Methods: A cross-sectional online survey was conducted with 542 post-graduate year (PGY) doctors and allied health students from the… More >

Tianfei Yang¹, Xianyi Long^2,*

International Journal of Mental Health Promotion, Vol.26, No.9, pp. 719-730, 2024, DOI:10.32604/ijmhp.2024.053705 - 20 September 2024

Abstract Background: Though the COVID-19 pandemic recedes, and our society gradually returns to normal, Chinese people’s work and lifestyles are still influenced by the “pandemic aftermath”. In the post-pandemic era, employees may feel uncertainty at work due to the changed organizational operations and management and perceive the external environment to be more dynamic. Both these perceptions may increase employees’ negative emotions and contribute to conflicts between work and life. Drawing from the ego depletion theory, this study aimed to examine the impact of job insecurity during the post-pandemic era on employees’ work-life conflicts, and the mediating… More >

MEHRSA JALALIZADEH^1,#, HEVELINE RAYANE MOURA ROESCH^1,#, FERNANDO KORKES², QUOC DIEN-TRINH³, LEONARDO OLIVEIRA REIS^1,4,*

Oncology Research, Vol.32, No.10, pp. 1565-1573, 2024, DOI:10.32604/or.2024.052179 - 18 September 2024

Abstract Objectives: The Brazilian Unified Health System (Sistema Único de Saúde−SUS) is the universal public healthcare system of Brazil that maintains a nationwide database of its patients. Our primary objective was to analyze regional and temporal trends, while our secondary goal was to establish correlations between states’ health economy status and their prostate cancer (PCa) epidemiology. Methods: We analyzed Brazil’s nationwide data on prostate cancer (PCa) incidence, mortality, and care gathered between 2013 and 2021 by the Information Technology Department of SUS (DATA-SUS), updated monthly using the International Classification of Diseases (ICD-10) code. Results: In the period,… More >

Saad Akbar^1,2, Humera Azam¹, Sulaiman Sulmi Almutairi^3,*, Omar Alqahtani⁴, Habib Shah⁴, Aliya Aleryani⁴

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 1075-1104, 2024, DOI:10.32604/cmc.2024.050913 - 18 July 2024

Abstract The prompt spread of COVID-19 has emphasized the necessity for effective and precise diagnostic tools. In this article, a hybrid approach in terms of datasets as well as the methodology by utilizing a previously unexplored dataset obtained from a private hospital for detecting COVID-19, pneumonia, and normal conditions in chest X-ray images (CXIs) is proposed coupled with Explainable Artificial Intelligence (XAI). Our study leverages less preprocessing with pre-trained cutting-edge models like InceptionV3, VGG16, and VGG19 that excel in the task of feature extraction. The methodology is further enhanced by the inclusion of the t-SNE (t-Distributed… More >

Yun-Jung Choi¹, Heewon Song^2,*

International Journal of Mental Health Promotion, Vol.26, No.6, pp. 475-480, 2024, DOI:10.32604/ijmhp.2024.050824 - 28 June 2024

Abstract During the rapid spread of COVID-19, first responders are at risk of being exposed to COVID-19 due to their role in providing first aid and responding to an unspecified number of people. This uncertainty can have adverse mental health effects, such as increased anxiety and fear. This study aimed to investigate the degree of association between fear of COVID-19, obsession with COVID-19, and post-traumatic stress disorder (PTSD) in emergency rescue firefighters. The participants were 150 emergency rescue firefighters working in Region S, Korea. They filled out self-report questionnaires: The data obtained through the Fear of… More >

K. S. Bhuvaneshwari¹, Ahmed Najat Ahmed², Mehedi Masud³, Samah H. Alajmani⁴, Mohamed Abouhawwash^5,6,*

Computer Systems Science and Engineering, Vol.48, No.3, pp. 867-868, 2024, DOI:10.32604/csse.2024.053658 - 20 May 2024

Abstract This article has no abstract. More >

Pakorn Santakij¹, Samai Srisuay^2,*, Pongporn Punpeng¹

Computer Systems Science and Engineering, Vol.48, No.3, pp. 665-689, 2024, DOI:10.32604/csse.2024.045066 - 20 May 2024

Abstract Social media has revolutionized the dissemination of real-life information, serving as a robust platform for sharing life events. Twitter, characterized by its brevity and continuous flow of posts, has emerged as a crucial source for public health surveillance, offering valuable insights into public reactions during the COVID-19 pandemic. This study aims to leverage a range of machine learning techniques to extract pivotal themes and facilitate text classification on a dataset of COVID-19 outbreak-related tweets. Diverse topic modeling approaches have been employed to extract pertinent themes and subsequently form a dataset for training text classification models.… More >