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10.1016/j.meegid.2020.104657 http://scihub22266oqcxt.onion/10.1016/j.meegid.2020.104657 33276148!7706417!33276148     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Infect+Genet+Evol 2021 ; 87 (ä): 104657 Nephropedia Template TP {{tp|p=33276148|t=2021. Dynamic aspects of ORF1ab and N RNA cycle threshold values among COVID-19 patients in China |pdf=|usr=}}{{33276148}} gab.com Text Dynamic aspects of ORF1ab and N RNA cycle threshold values among COVID-19 patients in China JO: Infect Genet Evol http://www.kidney.de/pget.php?&tw=1&pmid=33276148 #FOAvip The dynamics of viral loads among COVID-19 patients in Changzhou, China were evaluated using dynamic random effects models. The models were estimated by maximum likelihood methods allowing for between and within patient variations. Statistical criteria were developed for focusing on viral RNAs for clinical decision making. The empirical results showed that inflammation among patients were significant predictors of cycle threshold values for ORF1ab and N RNAs. Moreover, within subject variations were higher in Ct values of ORF1ab RNA indicating that assessment of N RNA may be adequate in resource-poor settings. The inter-relationships between ORF1ab and N RNAs were investigated and the need for developing comprehensive models for viral load dynamics is emphasized. Twit Text FOAVip Dynamic aspects of ORF1ab and N RNA cycle threshold values among COVID-19 patients in China ????Infect Genet Evol http://www.kidney.de/pget.php?&tw=1&pmid=33276148 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33276148 #FOAvip English Wikipedia <ref>{{Cite pmid|33276148}}</ref> Dynamic aspects of ORF1ab and N RNA cycle threshold values among COVID-19 patients in China #MMPMID33276148 Bhargava A Infect Genet Evol 2021[Jan]; 87 (ä): 104657 PMID33276148show ga The dynamics of viral loads among COVID-19 patients in Changzhou, China were evaluated using dynamic random effects models. The models were estimated by maximum likelihood methods allowing for between and within patient variations. Statistical criteria were developed for focusing on viral RNAs for clinical decision making. The empirical results showed that inflammation among patients were significant predictors of cycle threshold values for ORF1ab and N RNAs. Moreover, within subject variations were higher in Ct values of ORF1ab RNA indicating that assessment of N RNA may be adequate in resource-poor settings. The inter-relationships between ORF1ab and N RNAs were investigated and the need for developing comprehensive models for viral load dynamics is emphasized. |COVID-19/epidemiology/*genetics/virology[MESH] |China/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Open Reading Frames[MESH] |Polyproteins/genetics[MESH] |RNA, Viral/*genetics[MESH] |SARS-CoV-2/genetics/*isolation & purification[MESH]Dynamic aspects of ORF1ab and N RNA cycle threshold values among COVID(epmc).pdf DeepDyve Pubget Overpricing