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On average, ∼69% of 1 µm particles exit the system when the windows are open.The determination of the particle dynamics in the human acinar airways having millions of alveoli is critical in preventing potential health problems and delivering therapeutic particles effectively to target locations. Despite its complex geometrical structure and complicate wall movements, the advanced calculation simulations can provide valuable results to accurately predict the aerosol deposition in this region. The objective of this study was to numerically investigate the aerosol particle transport and deposition in the intra-acinar region of a human lung for different breathing scenarios (i.e., light, normal, and heavy activities) during multiple breaths. PRT062070 Idealized intra-acinar models utilized in this study consisted of a respiratory bronchial model, an alveolar duct model, and an alveolar sac model. The particles with 5 μm in diameter released from the inlet of the model were tracked until they deposited or escaped from the computational domain. The results showed that due to the rhythmic alveolar walte prediction of the aerosol deposition in the intra-acinar region of the human lung.A mathematical model for estimating the risk of airborne transmission of a respiratory infection such as COVID-19 is presented. The model employs basic concepts from fluid dynamics and incorporates the known scope of factors involved in the airborne transmission of such diseases. Simplicity in the mathematical form of the model is by design so that it can serve not only as a common basis for scientific inquiry across disciplinary boundaries but it can also be understandable by a broad audience outside science and academia. The caveats and limitations of the model are discussed in detail. The model is used to assess the protection from transmission afforded by face coverings made from a variety of fabrics. The reduction in the transmission risk associated with increased physical distance between the host and susceptible is also quantified by coupling the model with available and new large eddy simulation data on scalar dispersion in canonical flows. Finally, the effect of the level of physical activity (or exercise intensity) of the host and the susceptible in enhancing the transmission risk is also assessed.The cough of a COVID-19 infected subject contaminates a large volume of surrounding air with coronavirus due to the entrainment of surrounding air in the jet-like flow created by the cough. In the present work, we estimate this volume of the air, which may help us to design ventilation of closed spaces and, consequently, reduce the spread of the disease. Recent experiments [P. P. Simha and P. S. M. Rao, "Universal trends in human cough airflows at large distances," Phys. Fluids 32, 081905 (2020)] have shown that the velocity in a cough-cloud decays exponentially with distance. We analyze the data further to estimate the volume of the cough-cloud in the presence and absence of a face mask. Assuming a self-similar nature of the cough-cloud, we find that the volume entrained in the cloud varies as V = 0.666 c 2 d c 3 , where c is the spread rate and d c is the final distance traveled by the cough-cloud. The volume of the cough-cloud without a mask is about 7 and 23 times larger than in the presence of a surgical mask and an N95 mask, respectively. We also find that the cough-cloud is present for 5 s-8 s, after which the cloud starts dissipating, irrespective of the presence or absence of a mask. Our analysis suggests that the cough-cloud finally attains the room temperature, while remaining slightly more moist than the surrounding. These findings are expected to have implications in understanding the spread of coronavirus, which is reportedly airborne.This work investigates whether and how COVID-19 containment policies had an immediate impact on crime trends in Los Angeles. The analysis is conducted using Bayesian structural time-series and focuses on nine crime categories and on the overall crime count, daily monitored from January 1st 2017 to March 28th 2020. We concentrate on two post-intervention time windows-from March 4th to March 16th and from March 4th to March 28th 2020-to dynamically assess the short-term effects of mild and strict policies. In Los Angeles, overall crime has significantly decreased, as well as robbery, shoplifting, theft, and battery. No significant effect has been detected for vehicle theft, burglary, assault with a deadly weapon, intimate partner assault, and homicide. Results suggest that, in the first weeks after the interventions are put in place, social distancing impacts more directly on instrumental and less serious crimes. Policy implications are also discussed.Acute mesenteric ischemia (AMI) remains a vascular emergency. Our aim was to explore readmission for AMI. We identified all patients admitted for AMI from the state of California through the Healthcare and Utilization Project from 2005 to 2011. Our primary end point was the rate and etiology for readmission. Our secondary end points were the length of hospitalization and in-hospital mortality. Cox proportional hazard regression was utilized to assess risk of 30-day readmission. There were 534 (9.9%) readmissions at 30 days. The mean age was 67 ± 17 years and 209 (39.1%) were male. The five most common etiologies for readmission were AMI (7.6%), cardiac events (5.3%), severe sepsis (1.2%), dehydration (1.1%), and acute kidney failure (1.1%). Once readmitted, these patients were most likely to experience cardiac catheterizations (25.4%), red blood cell transfusions (23.6%), intubation and mechanical ventilation (17.6%), biopsy of the large intestine (13.9%), reoperation for small bowel resection (10.9%), administration of total parenteral nutrition (10.5%), and transfusion of other blood products (6.9%). This hospitalization was 8.8 ± 12.7 days long. In-hospital mortality was 36 patients (6.7%). On multivariable Cox-regression analysis, severe (hazard ratio [HR] 2.1 [1.4-3.2], p = 0.0005) and moderate (HR 1.5 [1.03-2.13], p = 0.04) Elixhauser Comorbidity Group, complications (HR 1.5 [1.2-1.9], p = 0.0007), and longer index hospitalization (HR 1.02 [1.01-1.02], p less then 0.0001) were predictors of readmission. Conclusion AMI remains a vascular emergency. Readmissions have a significant rate of morbid invasive procedures and can lead to an in-hospital mortality of 6.7%. The adoption of guidelines similar to the European Society for Trauma and Emergency Surgery should be considered.
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