PubMed COVID-19 Clinical Care

During the Covid-19 pandemic, real-time social media data could in principle be used as an early predictor of a new epidemic wave. This possibility is examined here by employing a neural ordinary differential equation (neural ODE) trained to forecast

The COVID-19 pandemic has caused millions of people to become infected worldwide. Some patients may have disease progression and may need treatment with an anti-COVID-19 agent, hospitalization, and even intensive care. The risk factors for disease

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has facilitated access to health care services through telemedicine in Poland, where it has not been a common approach so far. Therefore, the aim of this study was to evaluate

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CONCLUSIONS: AU and the frequency of CP-CRE increased after COVID-19 onset. The increase in CP-CRKpn was driven by the emergence of novel genomic lineages. Our observations highlight the need to strengthen infection prevention and control and

Wastewater surveillance of SARS-CoV-2 RNA has become an important tool for tracking the presence of the virus and serving as an early indicator for the onset of rapid transmission. Nevertheless, wastewater data are still not commonly used to predict

CONCLUSION: Elevated LDH prior to ECMO cannulation is associated with a higher incidence of HS during device support. LDH can risk stratify cases for impending cerebral bleeding during ECMO.

Respiratory tract infections (RTI) are a burden to global health, but their characterisation is complicated by the influence of seasonality on incidence and severity. The Re-BCG-CoV-19 trial (NCT04379336) assessed BCG-(re)vaccination for protection

This study aimed to understand the expressions of fear in the journeys of health professionals who worked in the confrontation of coronavirus disease 2019 (COVID-19), in the city of Manaus, in the Brazilian Western Amazon. This is an exploratory

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