PubMed COVID-19 Clinical Care

CONCLUSION: Our study validates the use of ML for predicting COVID-19 in the ED and demonstrates its potential for predicting emerging infectious diseases based on models built by clinical features with temporal and spatial heterogeneity. This

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Objectives. To describe the implementation of a novel disease surveillance model in Puerto Rico, the Municipal Case Investigation and Contact Tracing System for COVID-19, established during the pandemic as the primary response. Methods. We analyzed

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Unpredictable changes in the current business environment have made organizations pay attention to the concept of agility. This concept is a key feature to survive and compete in turbulent markets while considering customers' fluctuating needs. An

The recent discovery that TMEM106B serves as a receptor mediating ACE2-independent SARS-CoV-2 entry into cells deserves attention, especially in the background of the frequent emergence of mutant strains. Here, the structure-dynamic features of this

CONCLUSION: The rapid delivery of ComFluCOV was resource intensive. It was made possible in part due to a unique set of circumstances created by the pandemic situation including measures put in place to support urgent public health research and

CONCLUSION: The validation results indicated a well-adjusted factor structure and internal consistency, affirming the utility of this tool among the elderly population. Consequently, the C19-YRS in Iran can serve as a valuable resource in healthcare

Human astroviruses (HAstVs) are a significant etiological agent of acute gastroenteritis in children. In order to investigate the circulation of HAstVs during the COVID-19 pandemic, a 2-year environmental surveillance was conducted in Jinan between

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