PubMed COVID-19 Clinical Care

Introduction: The objective of this study was to understand whether use of audio-only telemedicine visits differed by individual- and neighborhood-level patient characteristics during the COVID-19 pandemic. Methods: We conducted a retrospective cross

PURPOSE: Youth mental distress has substantially increased during the COVID-19 pandemic. However, it is unclear if mental symptoms are directly related to SARS-CoV-2 infection or to social restrictions. We aimed to investigate mental health outcomes

SARS-CoV-2 is a +ssRNA helical coronavirus responsible for the global pandemic caused by coronavirus disease 19 (COVID-19). Classical clinical symptoms from primary COVID-19 when symptomatic include cough, fever, pneumonia or even ARDS; however, they

The SARS-CoV-2 coronavirus infects human cells via the ACE2 receptor. Structural evidence suggests that ACE2 may not just serve as an attachment factor but also conformationally activate the SARS-CoV-2 spike protein for membrane fusion. Here, we test

The shift in work paradigm owing to the implementation of new policies in the developing countries of Southeast Asia to reduce the spread of COVID-19 has created new challenges for both employers and employees. The study aimed to address the lack of

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The global COVID-19 lockdowns shattered familiar routines, plunging individuals into a disorienting emotional landscape characterized by loss, uncertainty, and a deep yearning for social bonds. Many employed coping strategies such as cleaning

CONCLUSIONS: Changes in consultation volumes among children with migrant background after lockdown were not as pronounced as for non-migrants, and at times actually decreased. This suggests that an increase in barriers to care emerged during the

CONCLUSIONS: Different specialties have different wellness needs. A resource or 'toolbox' that includes a variety of general as well as specialty-specific wellness components might allow institutions and programs to select interventions that best

This paper focuses on addressing the urgent need for efficient and accurate automated screening tools for COVID-19 detection. Inspired by existing research efforts, we propose two framework models to tackle this challenge. The first model combines a