PubMed COVID-19 Clinical Care

CONCLUSION: Our study results suggest economic conditions and gender were major factors associated with experiencing violence among our sample of PWUD during COVID-19. These findings highlight criminalization of drug use and widespread socioeconomic

CONCLUSION: Poor practice of posture and computer ergonomics, despite the good knowledge and attitude is possibly due to the suboptimal work environments. Introducing simple practical measures to facilitate ergonomically appropriate work environments

CONCLUSION: The lockdown had detrimental effects on blood sugar management in patients with DM. Hence, diet and exercise programs should be adapted to home conditions, and social and psychological support should be provided to patients with DM.

CONCLUSION: This study offers valuable and insightful implications by combining the SSEIT, PCQ-24, and RBPS models to investigate the effect of emotional intelligence on job performance in Malaysia, which is an unusual combination model to analyse

CONCLUSIONS: COS had several poor mental health conditions during the pandemic. The improvement of PA on COS' psychology was positively effective during the pandemic. Specific types, intensities, durations, and frequencies of PA might have advantages

Since the beginning of the COVID-19 pandemic, great efforts have been made by the academic community to better understand SARS-CoV-2 and COVID-19 features. COVID-19 has been demonstrated to affect several systems of the human body, including the

CONCLUSION: Parental anxiety and depression caused by the COVID-19 pandemic and lockdown resulted in decreased attention to childcare, leading to increased accidental ingestion of harmful materials among paediatric forensic cases admitted to the

In this work, we aim to accurately predict the number of hospitalizations during the COVID-19 pandemic by developing a spatiotemporal prediction model. We propose HOIST, an Ising dynamics-based deep learning model for spatiotemporal COVID-19

Healthcare workers experience moral injury (MI), a violation of their moral code due to circumstances beyond their control. MI threatens the healthcare workforce in all settings and leads to medical errors, depression/anxiety, and personal and

Epidemiological models are commonly fit to case and pathogen sequence data to estimate parameters and to infer unobserved disease dynamics. Here, we present an inference approach based on sequence data that is well suited for model fitting early on