PubMed COVID-19 Clinical Care

CONCLUSIONS: Being habitually active and using digital supports may be associated with a positive attitude towards exercise at home during isolation. This suggests that in emergency situations, exercise should be promoted, also through digital media

CONCLUSIONS: Findings suggest that online Choices4Health is, broadly speaking, acceptable from a service user perspective, but that further refinement is required to address specific issues participants identified. These relate to follow-up or

Digital contact tracing presents numerous advantages compared to manual contact tracing methods, especially in terms of enhanced speed and automation. Nevertheless, a lack of comprehensive evaluation regarding functionality, efficiency, benefits, and

No abstract

CONCLUSION: ADT prevention carried out by municipalities in Sweden was initially (2020) deeply affected by the preventive strategies against COVID-19. Adaptation of activities was less common in municipalities with more vulnerable socio-demographic

CONCLUSIONS: The dose and type of vaccination had no effect on the time to COVID-19 negative PCR test in patients with mild COVID-19. Comparing the first dose with the booster dose, the blood glucose levels increased within the normal range. The

CONCLUSION: While COVID-19 has presented challenges and uncertainties, it has also provided valuable insights into the interactions between infectious agents and the human body. Continued research and vigilance are necessary to mitigate the impact of

CONCLUSIONS: Assessing and monitoring the elevated levels of glucose, urea, ALT, AST, ALP, WBC, CRP, PCT, IL-6, ferritin, LDH, D-Dimer, and CPK-MB and the lowered levels of total protein, albumin, and platelet could provide a basis for evaluation of

There is no clear consensus regarding the optimal isolation duration for immunocompromised patients with coronavirus disease 2019 (COVID-19). Therefore, we conducted a questionnaire survey at eight Japanese cancer centers to investigate the practices

The most extensively used mathematical models in epidemiology are the susceptible-exposed-infectious-recovered (SEIR) type models with constant coefficients. For the first wave of the COVID-19 epidemic, such models predict that at large times