PubMed COVID-19 Clinical Care

We use an extended joint connectedness technique and the time-varying parameter vector autoregression (ETVP-VAR) method to examine connections between the ARK FinTech Innovation ETF (ARKF), Global X FinTech ETF (FINX), and energy volatility by

CONCLUSION: 24-month-old pandemic-born infants had largely similar developmental and behavioural scores compared with their prepandemic counterparts. Concerns have been raised in the communication developmental domain.

The 2021 military coup d'état in Myanmar and the Coronavirus (COVID-19) pandemic commencing at the end of 2019 have had major impacts on the already existing digital divide in this Southeast Asian country. This paper aims to explore the effects of

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disorder that causes debilitating swelling and destruction of the joints. People with RA are treated with drugs that actively suppress one or more parts of their immune system, and these

OBJECTIVES: How people reflect on their own age may influence their well-being in the face of COVID-19 related disruptions. Subjective aging was operationalised in terms of one's awareness of age-related change (AARC), specifically, the gains and

The present study tested whether emotionally burdened parents due to the COVID-19 pandemic might appraise their relationship with their children more negatively. The current cross-sectional study was circulated through social media. A total of 265

CONCLUSIONS: The certainty of the evidence was very low, but, from the results of this study, molnupiravir showed the most consistent benefit and ranked highest among the approved interventions for prevention of COVID-19 progression to severe disease

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Since 2020 the COVID-19 pandemic has led scientists to search for strategies to predict the transmissibility and virulence of new severe acute respiratory syndrome coronavirus 2 variants based on the estimation of the affinity of the spike receptor

Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most existing deterioration prediction models require a large number of clinical information, typically collected in hospital settings, such as medical images