Coping strategies to overcome psychological distress and fear during COVID-19 pandemic in Kuwait

BackgroundThe COVID-19 pandemic has detrimental effects on both physical and psychological well-being of community people worldwide. The purpose of this research was to determine coping strategies and the factors associated with psychological distress and fear among adults in Kuwait during the COVID-19 pandemic.ResultsParticipants with good-excellent mental health perception had significantly lower prevalence of reporting high psychological distress, while those identified as patients as used health services in the past 4 weeks had significantly higher prevalence of reporting high psychological distress. On the other hand, individuals born in the same country of residence, whose financial situation was impacted by COVID-19 had significantly lower prevalence of reporting high levels of fear from COVID-19. Those with an income source, with co-morbidities, tested negative to COVID-19, being frontline or essential worker, reported medium to high psychological distress and had significantly higher prevalence of high levels of fear of COVID-19.ConclusionsMental health services should be provided in addition to the existing services in primary healthcare settings, so that the impact of ongoing pandemic on psychological wellbeing of people in Kuwait can be addressed.

Adaptive Fuzzy Neural Network vs. Convolution Neural Network in Classifying COVID-19 from Chest X-rays

Detecting COVID-19 in the early time can save lives and reduce the cost of huge pressure on healthcare centers. Many machine and deep learning models have been proposed by researchers to detect and diagnose COVID-19 based on chest X-rays. However, we need to know which of those models is more effective and efficient. This paper presents a comparative study between adaptive fuzzy neural network (AFNN) and convolutional neural network (CNN) in classifying COVID-19 using chest X-rays. We present the experimental results showing the comparative performance measures with respect to the size of available dataset. We also present the relative advantage of each family of neural network in accuracy, precision, recall, F1score, and the computation time. © 2022 IEEE.

COVID-19 Rehabilitation Response in Bangladesh: Ongoing Efforts and Future Directives.

COVID-19 pandemic brings significant number of post-acute and chronic disabilities requiring attention to Physical Medicine and Rehabilitation (PMR) services. Total Health and Rehabilitation sector in Bangladesh is overwhelmed; patient care and academic activities are seriously impacted by this pandemic. Rehabilitation team works and academic calendar is disrupted. Bangladesh PMR working to manage COVID-19 imposed rehabilitation challenges with adjustment and adaptations of the existing facilities. There is an urgent need to undertake additional measures promptly, including rehabilitation capacity building anticipating the potential challenge that would be faced by the hospitals in the estimated upsurge of COVID-19 cases and its complications thereafter. This topic highlights the activity log for COVID-19 preparedness and mitigation for rehabilitation services in Bangladesh with a message for other rehabilitation settings in the world.

COVID 19: Importance of Physical Rehabilitation Medicine Capacity Building.

No Abstract.