PubMed COVID-19 Clinical Care

INTRODUCTION: Previous time-series studies have revealed a positive association between particulate matter (PM) and acute cardiovascular effects. However, the evidence mostly comes from developed countries and regions, while the majority of air

CONCLUSIONS: The application of SNOT-22 as a screening tool needs to be approached with caution, as the total score alone does not provide disease-specific insights. A more thorough exploration of the four symptom domains and the identification of

Increasing evidence shows that some probiotics can improve vaccine responses as adjuvants. This study aimed to evaluate the effect of Pediococcus pentosaceus MIANGUAN (PPM) on SARS-CoV-2 vaccine-elicited immune response in mice. Six-week-old female

Despite the agreement on the importance of two-way communication during governmental response to pandemics, few studies provided empirical evidence to support the effectiveness of such communication strategy in times of a public health crisis

CONCLUSIONS: These findings suggest the need for tailored personalized strategies to improve the management of patients with post-acute COVID-19.

The Covid-19 infection outbreak led to a global epidemic, and although several vaccines have been developed, the appearance of mutations has allowed the virus to evade the immune response. Added to this is the existing risk of the appearance of new

During more than 3 years since its emergence, SARS-CoV-2 has shown great ability to mutate rapidly into diverse variants, some of which turned out to be very infectious and have spread throughout the world causing waves of infections. At this point

BACKGROUND: Higher-valency pneumococcal vaccines are anticipated. We aimed to describe serotype distribution and risk factors for vaccine-serotype community-acquired pneumonia (CAP) in the two years pre-SARS-CoV-2 pandemic.

Only few studies have investigated the prevalence of feline coronavirus (FCoV) infection in domestic cats in Fujian, China. This is the first study to report the prevalence rate of FCoV infection in domestic cats in Fujian, China, and to analyse the

In this paper, we evaluate the performance and analyze the explainability of machine learning models boosted by feature selection in predicting COVID-19-positive cases from self-reported information. In essence, this work describes a methodology to