PubMed COVID-19 Clinical Care

RNA vaccines based on Lipid nanoparticles (LNP) were put into practical use within only one year after the global outbreak of the coronavirus disease 2019 (COVID-19). This success of RNA vaccine highlights the utility of an mRNA delivery system as a

No abstract

Polio-associated paralysis is one of the diseases under national surveillance in the Democratic Republic of the Congo (DRC). Although it has become relatively rare due to control measures, non-polio paralysis cases are still reported and constitute a

SARS-CoV-2 transmission is largely driven by heterogeneous dynamics at a local scale, leaving local health departments to design interventions with limited information. We analyzed SARS-CoV-2 genomes sampled between February 2020 and March 2022

CONCLUSIONS: Our findings suggest a strong justification for enhanced investment in vaccination of health workers, particularly against seasonal influenza, through country-wide programmes as a foundation for pandemic preparedness and response.

CONCLUSION: The study found that mesh exposure risk gradually increased over time, reaching nearly 10% after more than 5 years post-surgery, regardless of suture type. However, surgical success remained high, and no delayed serious adverse events

CONCLUSIONS: The COVID-19 surges and their associated measures were linked to declining LRTI admissions and in-facility deaths, likely driven by a combination of reduced infectious disease transmission and reduced use of healthcare services, with

BACKGROUND: Physician work hours directly influence patient access to health care services and play a vital role in physician human resource planning. We sought to evaluate long-term trends in hours worked by physicians in Canada, overall and by

PURPOSE: The Covid-19 pandemic generated significant changes in the operating methods of hospital logistics departments. The objective of this research is to understand how these changes took place, what collaboration mechanisms were developed with

Medical image segmentation is a focus research and foundation in developing intelligent medical systems. Recently, deep learning for medical image segmentation has become a standard process and succeeded significantly, promoting the development of