PubMed COVID-19 Clinical Care

Open international challenges are becoming the de facto standard for assessing computer vision and image analysis algorithms. In recent years, new methods have extended the reach of pulmonary airway segmentation that is closer to the limit of image

Estimates of excess mortality can provide insight into direct and indirect impacts of the COVID-19 pandemic beyond deaths specifically attributed to COVID-19. We analyzed death certificate data from Baltimore City, Maryland from March 1, 2020 to

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CONCLUSIONS: CU is prevalent among veterans, and certain subgroups are at higher risk of CU. Thus, identifying high-risk subgroups of veterans and adequately educating them about CU's benefits, risks, and safety is crucial.

CONCLUSIONS: The ML algorithms seem to be an effective method in early detection and prediction of food insecurity and can profoundly aid policymaking. The integration of ML approaches in public health strategies could potentially improve the

Effective virus concentration methods are essential for detecting pathogenic viruses in environmental waters and play a crucial role in wastewater-based epidemiology. However, the current methods are often expensive, complicated, and time-consuming

There are many plausible reasons for recurrent outbreaks of emerging infectious diseases. In this paper, we develop a mathematical model to illustrate how population behavioural adaption and adaptation implementation delay, in response to the

CONCLUSIONS: For Japanese patients with COVID-19, severe pneumonia, and SpO(2)/FiO(2) of <315, it may be necessary to administer a dose of corticosteroids of >6.6 mg DEX.

This study aimed to assess the effectiveness of an online multicomponent physical exercise intervention (MPE) on the physical performance (PP) of older adults. A randomized controlled trial was conducted, with 110 participants assigned to either the

Coping and recovery capabilities in disasters depend to a large part on social resilience. Prior disaster studies suggest a variety of indicators to assess social resilience in the natural hazard context. We discuss whether the most common disaster