PubMed COVID-19 Clinical Care

Human papillomavirus (HPV) is one of the most common sexually transmitted infections nationwide. The COVID-19 pandemic has greatly influenced on the HPV prevention project. The objective of this study was to examine the influence of the pandemic on

CONCLUSIONS: Individual differences in cumulative exposure to COVID-19-pandemic-related adversity are important predictors of mental health, but we found no evidence for higher vulnerability among people with (chronic) pre-pandemic mental health

CONCLUSION: Participants indicated limited trust at both interpersonal and health system levels aggravated by lack of transparency, unclear and conflicting messages on COVID-19 infections and response measures. Enforced transparency on pandemics

CONCLUSION: Long COVID results in extended disability and illness. The varying impacts of different COVID-19 variants highlight the complex nature of post-COVID-19 complications. Our findings highlight the need for strategic planning of healthcare

Aim: Prescribing patterns among healthcare practitioners remain a recurring theme of interest in the opioid crisis. This study aims to provide insight on opioid prescribing patterns for cancer pain in telemedicine and in-person encounters during

No abstract

SARS-CoV-2 and its global spread have created an unprecedented public health crisis. The spike protein of SARS-CoV-2 has gained significant attention due to its crucial role in viral entry into host cells and its potential as both a prophylactic and

The COVID-19 pandemic can be controlled by vaccination in addition to public health measures. This study investigate the impact of Health Literacy (HL) on vaccination and COVID-19. 334 patients and patient's relatives aged 18 to 65 years who were

Background The coronavirus disease 2019 (COVID-19) pandemic provoked disruptions in healthcare delivery, leading to the cancellation and postponement of various health services, including surgery. Numerous countries closed their borders and

Mobile phone data have been widely used to model the spread of COVID-19; however, quantifying and comparing their predictive value across different settings is challenging. Their quality is affected by various factors and their relationship with