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10.1073/pnas.2004064117 http://scihub22266oqcxt.onion/10.1073/pnas.2004064117 32245814!7183199!32245814     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Proc+Natl+Acad+Sci+U+S+A 2020 ; 117 (16): 9122-9126 Nephropedia Template TP {{tp|p=32245814|t=2020. Projecting hospital utilization during the COVID-19 outbreaks in the United States |pdf=|usr=}}{{32245814}} gab.com Text Projecting hospital utilization during the COVID-19 outbreaks in the United States JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=32245814 #FOAvip In the wake of community coronavirus disease 2019 (COVID-19) transmission in the United States, there is a growing public health concern regarding the adequacy of resources to treat infected cases. Hospital beds, intensive care units (ICUs), and ventilators are vital for the treatment of patients with severe illness. To project the timing of the outbreak peak and the number of ICU beds required at peak, we simulated a COVID-19 outbreak parameterized with the US population demographics. In scenario analyses, we varied the delay from symptom onset to self-isolation, the proportion of symptomatic individuals practicing self-isolation, and the basic reproduction number R(0) Without self-isolation, when R(0) = 2.5, treatment of critically ill individuals at the outbreak peak would require 3.8 times more ICU beds than exist in the United States. Self-isolation by 20% of cases 24 h after symptom onset would delay and flatten the outbreak trajectory, reducing the number of ICU beds needed at the peak by 48.4% (interquartile range 46.4-50.3%), although still exceeding existing capacity. When R(0) = 2, twice as many ICU beds would be required at the peak of outbreak in the absence of self-isolation. In this scenario, the proportional impact of self-isolation within 24 h on reducing the peak number of ICU beds is substantially higher at 73.5% (interquartile range 71.4-75.3%). Our estimates underscore the inadequacy of critical care capacity to handle the burgeoning outbreak. Policies that encourage self-isolation, such as paid sick leave, may delay the epidemic peak, giving a window of time that could facilitate emergency mobilization to expand hospital capacity. Twit Text FOAVip Projecting hospital utilization during the COVID-19 outbreaks in the United States ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=32245814 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32245814 #FOAvip English Wikipedia <ref>{{Cite pmid|32245814}}</ref> Projecting hospital utilization during the COVID-19 outbreaks in the United States #MMPMID32245814 Moghadas SM; Shoukat A; Fitzpatrick MC; Wells CR; Sah P; Pandey A; Sachs JD; Wang Z; Meyers LA; Singer BH; Galvani AP Proc Natl Acad Sci U S A 2020[Apr]; 117 (16): 9122-9126 PMID32245814show ga In the wake of community coronavirus disease 2019 (COVID-19) transmission in the United States, there is a growing public health concern regarding the adequacy of resources to treat infected cases. Hospital beds, intensive care units (ICUs), and ventilators are vital for the treatment of patients with severe illness. To project the timing of the outbreak peak and the number of ICU beds required at peak, we simulated a COVID-19 outbreak parameterized with the US population demographics. In scenario analyses, we varied the delay from symptom onset to self-isolation, the proportion of symptomatic individuals practicing self-isolation, and the basic reproduction number R(0) Without self-isolation, when R(0) = 2.5, treatment of critically ill individuals at the outbreak peak would require 3.8 times more ICU beds than exist in the United States. Self-isolation by 20% of cases 24 h after symptom onset would delay and flatten the outbreak trajectory, reducing the number of ICU beds needed at the peak by 48.4% (interquartile range 46.4-50.3%), although still exceeding existing capacity. When R(0) = 2, twice as many ICU beds would be required at the peak of outbreak in the absence of self-isolation. In this scenario, the proportional impact of self-isolation within 24 h on reducing the peak number of ICU beds is substantially higher at 73.5% (interquartile range 71.4-75.3%). Our estimates underscore the inadequacy of critical care capacity to handle the burgeoning outbreak. Policies that encourage self-isolation, such as paid sick leave, may delay the epidemic peak, giving a window of time that could facilitate emergency mobilization to expand hospital capacity. |*Coronavirus Infections/epidemiology/therapy[MESH] |*Disease Outbreaks/statistics & numerical data[MESH] |*Hospital Bed Capacity[MESH] |*Hospitals/statistics & numerical data[MESH] |*Intensive Care Units/statistics & numerical data[MESH] |*Pandemics[MESH] |*Patient Acceptance of Health Care/statistics & numerical data[MESH] |*Pneumonia, Viral/epidemiology/therapy[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Forecasting[MESH] |Humans[MESH] |Models, Theoretical[MESH] |Patient Isolation[MESH] |SARS-CoV-2[MESH] |Time Factors[MESH]Projecting hospital utilization during the COVID-19 outbreaks in the U(epmc).pdf DeepDyve Pubget Overpricing