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http://scihub22266oqcxt.onion/ 32479104!ä!32479104 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       MSMR 2020 ; 27 (5): 55-59 Nephropedia Template TP {{tp|p=32479104|t=2020. Early use of ICD-10-CM code "U07 1, COVID-19" to identify 2019 novel coronavirus cases in Military Health System administrative data |pdf=|usr=}}{{32479104}} gab.com Text Early use of ICD-10-CM code "U07 1, COVID-19" to identify 2019 novel coronavirus cases in Military Health System administrative data JO: MSMR http://www.kidney.de/pget.php?&tw=1&pmid=32479104 #FOAvip This report describes early exploratory analysis of ICD-10-CM code U07.1 (2019-nCoV acute respiratory disease [COVID-19]) to assess the use of administrative data for case ascertainment, syndromic surveillance, and future epidemiological studies. Out of the 2,950 possible COVID-19 cases identified between 1 April 2020 and 4 May 2020, 600 (20.3%) were detected in the Defense Medical Surveillance System (DMSS) and not in the Disease Reporting System internet (DRSi) or in Health Level 7 laboratory data from the Composite Health Care System. Among the 150 out of 600 cases identified exclusively in the DMSS and selected for Armed Forces Health Longitudinal Technology Application (AHLTA) review, 16 (10.7%) had a certified positive lab result in AHLTA, 17 (11.3%) met Council of State and Territorial Epidemiologists (CSTE) criteria for a probable case, 46 (30.7%) were not cases based on CSTE criteria, and 71 (47.3%) had evidence of a positive lab result from an outside source. Lack of full capture of lab results may continue to be a challenge as the variety of available tests expands. Administrative data may provide an important stopgap measure for detecting lab positive cases, pending incorporation of new COVID-19 tests and standardization of test and result nomenclature. Twit Text FOAVip Early use of ICD-10-CM code "U07 1, COVID-19" to identify 2019 novel coronavirus cases in Military Health System administrative data ????MSMR http://www.kidney.de/pget.php?&tw=1&pmid=32479104 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32479104 #FOAvip English Wikipedia <ref>{{Cite pmid|32479104}}</ref> Early use of ICD-10-CM code "U07 1, COVID-19" to identify 2019 novel coronavirus cases in Military Health System administrative data #MMPMID32479104 Clausen S; Stahlman S; Cost A MSMR 2020[May]; 27 (5): 55-59 PMID32479104show ga This report describes early exploratory analysis of ICD-10-CM code U07.1 (2019-nCoV acute respiratory disease [COVID-19]) to assess the use of administrative data for case ascertainment, syndromic surveillance, and future epidemiological studies. Out of the 2,950 possible COVID-19 cases identified between 1 April 2020 and 4 May 2020, 600 (20.3%) were detected in the Defense Medical Surveillance System (DMSS) and not in the Disease Reporting System internet (DRSi) or in Health Level 7 laboratory data from the Composite Health Care System. Among the 150 out of 600 cases identified exclusively in the DMSS and selected for Armed Forces Health Longitudinal Technology Application (AHLTA) review, 16 (10.7%) had a certified positive lab result in AHLTA, 17 (11.3%) met Council of State and Territorial Epidemiologists (CSTE) criteria for a probable case, 46 (30.7%) were not cases based on CSTE criteria, and 71 (47.3%) had evidence of a positive lab result from an outside source. Lack of full capture of lab results may continue to be a challenge as the variety of available tests expands. Administrative data may provide an important stopgap measure for detecting lab positive cases, pending incorporation of new COVID-19 tests and standardization of test and result nomenclature. |*Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/*classification/*diagnosis[MESH] |Databases, Factual/*statistics & numerical data[MESH] |Humans[MESH] |International Classification of Diseases[MESH] |Military Personnel/*statistics & numerical data[MESH] |Pandemics/*classification[MESH] |Pneumonia, Viral/*classification/*diagnosis[MESH] |SARS-CoV-2[MESH] |Sentinel Surveillance[MESH]Early use of ICD-10-CM code "U07 1, COVID-19" to identify 2019 novel c(epmc).pdf DeepDyve Pubget Overpricing