PubMed COVID-19 Clinical Care

The aim of the study was to analyze the relationship between the level of knowledge and anxiety regarding the implementation of the COVID-19 vaccination in the community. The research was conducted in the Dulupi Health Center work area from March to

CONCLUSION: Residents in low-incidence areas are prone to anxiety and depression. Marital status, health self-assessment, paying attention to the progress of the epidemic every day and monitoring the disease progress in relatives and friends are

The biopsychosocial model remains the de facto framework of current healthcare, but lacks causational depth, scientific rigour, or any recognition of the importance of evolutionary theory for understanding health and disease. In this article it is

INTRODUCTION: Evaluating the potential effects of non-pharmaceutical interventions on COVID-19 dynamics is challenging and controversially discussed in the literature. The reasons are manifold, and some of them are as follows. First, interventions

Background and objective The coronavirus disease 2019 (COVID-19) pandemic has become a major health concern due to the rapid transmission of the virus that causes it: severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To address the

CONCLUSION: The mPRIEST score was significantly higher for patients for whom the predominant circulating variant was Delta than those for whom the predominant circulating variant was Omicron. This finding is consistent with international reporting of

CONCLUSION: COVID-19 vaccine acceptance among the adult population was low compared to other study. Factors associated with COVID-19 vaccine acceptance were age, college and above level of education, having a chronic disease, having health insurance

No abstract

This commentary examines the ethical significance of recently published research demonstrating the extent to which healthcare workers experienced stress and increased challenges in the workplace due to inadequate access to personal protective

During global outbreaks such as COVID-19, regular nucleic acid amplification tests (NAATs) have posed unprecedented burden on hospital resources. Data of traditional NAATs are manually analyzed post assay. Integration of artificial intelligence (AI)