PubMed COVID-19 Clinical Care

Despite the considerable advances in the last years, the health information systems for health surveillance still need to overcome some critical issues so that epidemic detection can be performed in real time. For instance, despite the efforts of the

Feline infectious peritonitis (FIP) continues to be one of the most researched infectious diseases of cats. The diagnosis of FIP is challenging, and diverse techniques have been developed for its accurate diagnosis. However, they have some

CONCLUSIONS: This study revealed a significant relationship between certain demographic variables, such as quarantine period, disease history, employment status, household income status, and the number of family households, and an increase in the

INTRODUCTION: One of the most common complications of coronavirus disease 2019 (COVID-19) is myocardial injury, and although its cause is unclear, it can alter the heart's contractility. This study aimed to characterize the ventricular and atrial

CONCLUSIONS: The automated hand hygiene monitoring system enabled assessment of the interventions. We found no significant effect of group or individual feedback at the two departments. However, other factors may have influenced the results during

INTRODUCTION: The COVID-19 pandemic posed many challenges for local health departments (LHDs). This study examines how stay-at-home orders impacted the provision of essential public health services and subsequent increased use of online health

The identification in 2014 of Universal Health Coverage, including focus on human resources for health, as a flagship priority for the WHO South-East Asia Region marked critical departure from the prior period of the Millennium Development Goals. The

This report presents the clinical findings and prognosis of a healthy male patient who developed acute macular neuroretinopathy after COVID-19 vaccination. Abnormal findings improved about 1 month after the onset and disappeared 3 months later. The

The purpose of this study is to assess the cardiometabolic responses of a lifestyle intervention (LI) conducted at home among breast cancer (BC) survivors during the two years of COVID-19 pandemic. A 3-month LI focused on diet and exercise was

CONCLUSIONS: Omics-CNN, overcame the inherent problems of applying Convolutional Neural Networks for the training diagnostic models with quantitative omics data, outperforming previous models of machine learning developed using the same datasets for