PubMed COVID-19 Clinical Care

Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of healthcare. AI has been predominantly employed in medicine and healthcare administration. However, in public health, the widespread employment of AI only began

CONCLUSION: Our results indicate opportunities for framing future vaccination campaigns that include vaccination centers. Additionally, a rapid GP involvement in future mass vaccinations might be crucial for overcoming attitudinal barriers and

CONCLUSION: To date, this is the only UK based study assessing stakeholders' views on including the history of pandemics in the medical school curriculum. Our findings demonstrate that medical students wish to have more historical content included in

This study aimed to identify the impact of the first UK COVID-19 lockdown on individuals' weight management attempts (WMA). A self-regulation theoretical framework was used to identify predictors of continuing with a WMA, and weight change during the

CONCLUSION: SARS-CoV-2 RNA loads predict the presence of symptomatic and respiratory diseases. The use of standardized, quantitative methods is feasible, allows for replication, comparisons across institutions, and has the potential to facilitate

Rates of depression among the college-aged population are alarming, particularly in light of the coronavirus disease 2019 pandemic. It is important for providers who care for this population to have proper screening and referral processes to meet

CONCLUSION: Pivoting to alternative strategies were crucial for successful recruitment. Findings suggest the significant potential of broadcast media for community-based recruitment. Family dynamics and the community's trust in our partners also

Large amounts of antibiotics have been discharged into wastewater during the COVID-19 pandemic due to overuse and misuse of antibiotics to treat patients. Wastewater-based surveillance can be used as an early warning for antibiotic resistance (AR)

CONCLUSION: AKRT in hospitalized COVID-19 patients resulted in a CFR of 93%. Patients treated with AKRT were typically older, critically ill, and most died within 10 days of diagnosis. Better strategies to address this issue are urgently needed.

CONCLUSIONS: Our study provides compelling genetic evidence supporting causal relationships between three COVID-19 traits and brain IDPs. This discovery holds promise for enhancing predictions and interventions in brain imaging.