PubMed COVID-19 Clinical Care

Synthetic meat made from animal cells will transform how we eat. It will reduce suffering by eliminating the need to raise and slaughter animals. But it will also have big public health benefits if it becomes widely consumed. In this paper, we

Examine changes in health behaviors and outcomes during early-pandemic (2020) vs pre-pandemic (2019) by age-group and race/ethnicity. Multivariable logistic regressions were conducted using Behavioral Risk Factor Surveillance System datasets from

Serological correlates of protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection after vaccination ("vaccine breakthrough") have been described. However, T cell correlates of protection against breakthrough are

The respiratory ECMO survival prediction (RESP) score is used to predict survival for patients managed with extracorporeal membrane oxygenation (ECMO), but its performance in patients with Coronavirus Disease 2019 (COVID-19) acute respiratory

CONCLUSION: Information about COVID-19 vaccines during different stages of the vaccination program should be provided in migrants' languages at the same time that it is available in English using a variety of methods for dissemination. The

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CONCLUSION: COVID-19 prevalence was low among our patients. Patients were satisfied with their care during the pandemic. Most patients would happily continue with virtual care for the duration of the pandemic.

Application of greener pretreatment technology using robust ligninolytic bacteria for short duration to deconstruct rice straw and enhance bioethanol production is currently lacking. The objective of this study is to characterize three bacterial

CONCLUSION: it is suggestive that diabetic elderly women who had covid-19, with and without pulmonary impairment, have impaired sleep quality and interference on HRV with decreased parasympathetic autonomic modulation.

Sampling for prevalence estimation of infection is subject to bias by both oversampling of symptomatic individuals and error-prone tests. This results in naïve estimators of prevalence (ie, proportion of observed infected individuals in the sample)