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10.1016/j.accpm.2020.07.009 http://scihub22266oqcxt.onion/10.1016/j.accpm.2020.07.009 32727708!7834620!32727708     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32727708&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32727708.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Anaesth+Crit+Care+Pain+Med 2020 ; 39 (5): 575-576 Nephropedia Template TP {{tp|p=32727708|t=2020. COVID-19: How the Paris area faced the massive influx of critical patients |pdf=|usr=}}{{32727708}} gab.com Text COVID-19: How the Paris area faced the massive influx of critical patients JO: Anaesth Crit Care Pain Med http://www.kidney.de/pget.php?&tw=1&pmid=32727708 #FOAvip ä Twit Text FOAVip COVID-19: How the Paris area faced the massive influx of critical patients ????Anaesth Crit Care Pain Med http://www.kidney.de/pget.php?&tw=1&pmid=32727708 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32727708 #FOAvip English Wikipedia <ref>{{Cite pmid|32727708}}</ref> COVID-19: How the Paris area faced the massive influx of critical patients #MMPMID32727708 Foucrier A; Hellmann R; Rousseau A Anaesth Crit Care Pain Med 2020[Oct]; 39 (5): 575-576 PMID32727708show ga ä |*Betacoronavirus[MESH] |*Pandemics[MESH] |Bed Conversion[MESH] |COVID-19[MESH] |Coronavirus Infections/epidemiology[MESH] |Critical Illness/epidemiology[MESH] |Health Resources/supply & distribution[MESH] |Health Services Needs and Demand[MESH] |Hospital Bed Capacity/statistics & numerical data[MESH] |Humans[MESH] |Intensive Care Units/statistics & numerical data[MESH] |Paris/epidemiology[MESH] |Patient Transfer[MESH] |Pneumonia, Viral/epidemiology[MESH] |Resource Allocation[MESH]COVID-19: How the Paris area faced the massive influx of critical pati(epmc).pdf DeepDyve Pubget Overpricing