Pandemic fatigue encompasses exhaustion, emotional strain, and decreased motivation due to prolonged pandemic effects. This scoping review examines pandemic fatigue issues related to COVID-19, aiming to suggest effective management strategies. We assessed 2,558 records from 1st of December 2019 until 27th of March 2022 in PubMed, Science Direct, ProQuest, and ClinicalKey. Following Arksey and O’Malley (2005) and PRISMA-ScR principles, we selected 31 studies including research papers employing either quantitative or qualitative methods and editorials and other summary articles after excluding redundant and irrelevant works. The authors provide six critical answers to understand better and manage pandemic fatigue, including the need for more research and support, the collaboration between key stakeholders and the community, and the use of information to address pandemic fatigue. The review found that pandemic fatigue is prevalent among certain groups, such as students and healthcare workers. Factors contributing to pandemic fatigue include age, gender, high perceived severity of COVID-19, low trust in government or health organizations, and low social connectedness. The review also identified an instrument, the COVID-19 Pandemic Fatigue Scale, that can be used to measure pandemic fatigue. The review concluded that identifying pandemic fatigue as early as possible is absolutely important and people and their government should work together to handle the fatigue. Many countries have acknowledged the presence hence manage it differently. Nonetheless the strategy suggested by WHO has provided an excellent framework to tackle the pandemic fatigue.

Introduction: Internet gaming disorder (IGD) has recently been incorporated into the Diagnostic and Statistical Manual of Mental Disorders fifth edition (DSM-5) as a disorder for future research. The primary objectives of the present study are to describe the level of IGD and to examine its correlations with sociodemographic factors and psychological comorbidities among undergraduate students in a Malaysian university. Methods: A total of 411 undergraduate students completed an online questionnaire. They were selected from a random sample of participating university faculties. The online questionnaire contained the Internet Gaming Disorder Scale-Short-Form and the Depression, Anxiety, Stress Scale. Results: The presents study reported that 52.8% of the participants had high IGH. Using hierarchical multiple regression, age (β = -0.09, p < 0.05), gender (β = -0.40, p < 0.001) and stress (β = 0.23, p < 0.05) were statistically significant predictors of IGD. Academic performance, depression and anxiety did not emerge as significant predictors. Conclusion: These findings highlight the risk factors (in particular, stress) of IGD. Further studies on interventions, particular that of preventative strategies, will be needed to combat this emerging public health problem.