PubMed COVID-19 Clinical Care

Coronavirus disease 2019 popularly known as COVID-19 is the current pandemic ravaging the world. It has disrupted so many aspects of humans' life including the healthcare systems of all countries. While governments have instituted preventive measures

CONCLUSIONS: SARS-CoV-2 testing costs outweighed benefits under winter 2023-2024 conditions; however, testing became cost-effective with increasingly severe clinical outcomes. Cost-effectiveness can change as the epidemic evolves because it depends

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While the rapid digitalization in higher education, accelerated by the COVID-19 pan- demic, has restructured the landscape of teaching and learning, a comprehensive under- standing of its implications on students' academic outcomes across various

The COVID-19 pandemic exposed gaps in global health governance, catalyzing proposals for a new WHO pandemic treaty. This paper investigates China's stance on the treaty, recognizing it as reflective of many developing countries' concerns, through a

Post-COVID-19 interstitial lung disease (ILD) is a new entity that frequently causes pulmonary fibrosis and can become chronic. We performed a single-center parallel-group open-label pilot randomized clinical trial to investigate the efficacy and

The primary objective of this paper is to serve as a valuable resource for policymakers who are confronted with the evolving landscape of the coronavirus disease 2019 (COVID-19), considering both free and cost-based vaccination approaches. The

CONCLUSIONS: Pandemic fatigue was observed after 7 to 10 months from the pandemic emergence even though the high education level of the participants.

Cathepsins (Cats) are proteases that mediate the successful entry of SARS-CoV-2 into host cells. We designed and synthesized a tailored series of 21 peptidomimetics and evaluated their inhibitory activity against human cathepsins L, B, and S

All viruses, including SARS-CoV-2, the virus responsible for COVID-19, continue to evolve, which can lead to new variants. The objective of this study is to assess the agreement between real-world clinical data and an algorithm that utilizes