PubMed COVID-19 Clinical Care

CONCLUSION: Our data revealed that humoral immunity following natural infection of SARS-CoV-2 is detectable for at least 4 months, regardless of disease severity. The most decrease in antibody titer over time was related to anti-N IgG levels.

CONCLUSIONS: Hospital-acquired COVID-19 infections in omicron era were related to high mortality, especially among patients in medicine wards who also had good vaccination coverage.

Advanced immunoassays are crucial in assessing antibody responses, serving immune surveillance goals, characterising immunological responses to evolving viral variants, and guiding subsequent vaccination initiatives. This protocol outlines an

CONCLUSION: Overall, these findings provide valuable insights into the genetic underpinnings of long COVID and its diverse range of symptoms. Understanding these causal associations may aid in better management and treatment of long COVID patients

Selective mutism (SM) is a relatively rare, but highly interfering, child anxiety disorder characterized by a consistent failure to speak in certain situations, despite demonstrating fluent speech in other contexts. Exposure-based cognitive

CONCLUSION: Pre-myopes spent more time outdoors than myopes in the pre-COVID period, while myopes spent more time using digital devices. All these differences do not exist after the COVID lockdown, with a general increase in the time spent outdoors

CONCLUSION: This study offers valuable insights into the evaluation of COVID-19 treatment RCTs. The scarcity of high-quality RCTs highlights the importance of enhancing trial rigor and transparency in global health emergencies.

[This corrects the article DOI: 10.3389/fpubh.2023.1050759.].

CONCLUSION: The familiarity with the different scores used during triage assessments is low. The total clinical picture of the patient is needed to make a considered decision, and this total picture of the patient seems to be well encompassed by

Background. Infectious diseases constitute a significant concern worldwide due to their increasing prevalence, associated health risks, and the socioeconomic costs. Machine learning (ML) models and epidemic models formulated using deterministic