PubMed COVID-19 Clinical Care

National laboratories are a fundamental capacity for public health, contributing to disease surveillance and outbreak response. The establishment of regional laboratory networks has been posited as a means of improving health security across multiple

The study explored the challenges urbanites faced due to climate change and the COVID-19 pandemic. Urban vulnerability ills such as food insecurity, poverty and malnutrition have increased as climate change and COVID-19 jointly affect societies

CONCLUSIONS: This study ultimately demonstrates that our method used here could efficiently reduce a large amount of community feedback (e.g., tweets, social media data) by NLP and ensure contextualization and richness with human interpretation

With the launch of Open AI's GPT-3 model in June 2020 came a new era for conversational chatbots (Open AI, n.d.). While there are chatbots who do not use AI, conversational chatbots integrate AI language models that allow for back-and-forth

CONCLUSIONS: Increased oxidative stress and increased ACE2 expression were correlated with disease severity and poor outcomes in hospitalized patients with COVID-19 in the present study. Melatonin supplementation may provide a utility as an adjuvant

No abstract

Heat recovery ventilation devices include rectangular plate cross-flow, hexagonal plate combined counter and cross-flow, rotary wheel sensible, sorption rotor hybrid sensible and latent heat exchanger. Currently, existing studies have produced no

CONCLUSION: After analyzing the clinical and epidemiological profile, it can be concluded that age greater than 65 years and pulmonary involvement >50% are predictors of a worse prognosis for coronavirus disease 2019, as is the need for high-flow

CONCLUSIONS: While a higher client-provider was associated with a lower respectful maternity care practice score both before and during the COVID-19 pandemic, the coefficient was larger during the pandemic. Therefore, workload among the healthcare

Count data that are subject to both under and overdispersion at some hierarchical level cannot be readily accommodated by classic models such as Poisson or negative binomial regression models. The mean-parameterised Conway-Maxwell-Poisson