PubMed COVID-19 Clinical Care

The COVID-19 pandemic due to the SARS-CoV-2 coronavirus showed acute and prolonged effects on human health. In addition, over the past four years, there has been a tremendous surge in COVID-19-related scientific publications, as shown by bibliometric

Coronavirus Disease 2019 (COVID-19) is a complex disease that affects multiple body systems, including the respiratory, cardiovascular, neurological, and muscular systems. It is estimated that approximately half of the patients after the treatment

This study evaluated the chemical composition of rosemary water extract (RWE) and its influence on mechanisms by which the SARS-CoV-2 virus enters into cells as a potential route for reducing the risk of COVID-19 disease. Compounds in RWE were

Unauthorized immigration has been a long-standing and contentious challenge for developed and developing countries. Numerous continually evolving push and pull factors across international borders, such as economy, employment, population density

Children have been reported to be less affected and to have milder severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection than adults during the coronavirus disease 2019 (COVID-19) pandemic. However, children, and particularly those

Background: Multiple studies have documented the impact of the coronavirus disease (COVID-19) pandemic on nursing students' mental health and learning experiences; however, none have synthesized these findings. Purpose: To identify the range and

We adopt a maximum-likelihood framework to estimate parameters of a stochastic susceptible-infected-recovered (SIR) model with contact tracing on a rooted random tree. Given the number of detectees per index case, our estimator allows to determine

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There are limited real-world data on the effectiveness of tixagevimab-cilgavimab as pre-exposure prophylaxis of COVID-19. We describe lessons learned when coordinating data collection and identifying breakthrough SARS-CoV-2 infections among patients

The aim of the Social Media Mining for Health Applications (#SMM4H) shared tasks is to take a community-driven approach to address the natural language processing and machine learning challenges inherent to utilizing social media data for health