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10.1016/j.idm.2020.09.005 http://scihub22266oqcxt.onion/10.1016/j.idm.2020.09.005 32995681!7513875!32995681     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 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\32995681.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Infect+Dis+Model 2020 ; 5 (ä): 699-713 Nephropedia Template TP {{tp|p=32995681|t=2020. Bayesian modeling of COVID-19 cases with a correction to account for under-reported cases |pdf=|usr=}}{{32995681}} gab.com Text Bayesian modeling of COVID-19 cases with a correction to account for under-reported cases JO: Infect Dis Model http://www.kidney.de/pget.php?&tw=1&pmid=32995681 #FOAvip The novel of COVID-19 disease started in late 2019 making the worldwide governments came across a high number of critical and death cases, beyond constant fear of the collapse in their health systems. Since the beginning of the pandemic, researchers and authorities are mainly concerned with carrying out quantitative studies (modeling and predictions) overcoming the scarcity of tests that lead us to under-reporting cases. To address these issues, we introduce a Bayesian approach to the SIR model with correction for under-reporting in the analysis of COVID-19 cases in Brazil. The proposed model was enforced to obtain estimates of important quantities such as the reproductive rate and the average infection period, along with the more likely date when the pandemic peak may occur. Several under-reporting scenarios were considered in the simulation study, showing how impacting is the lack of information in the modeling. Twit Text FOAVip Bayesian modeling of COVID-19 cases with a correction to account for under-reported cases ????Infect Dis Model http://www.kidney.de/pget.php?&tw=1&pmid=32995681 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32995681 #FOAvip English Wikipedia <ref>{{Cite pmid|32995681}}</ref> Bayesian modeling of COVID-19 cases with a correction to account for under-reported cases #MMPMID32995681 de Oliveira ACS; Morita LHM; da Silva EB; Zardo LAR; Fontes CJF; Granzotto DCT Infect Dis Model 2020[]; 5 (ä): 699-713 PMID32995681show ga The novel of COVID-19 disease started in late 2019 making the worldwide governments came across a high number of critical and death cases, beyond constant fear of the collapse in their health systems. Since the beginning of the pandemic, researchers and authorities are mainly concerned with carrying out quantitative studies (modeling and predictions) overcoming the scarcity of tests that lead us to under-reporting cases. To address these issues, we introduce a Bayesian approach to the SIR model with correction for under-reporting in the analysis of COVID-19 cases in Brazil. The proposed model was enforced to obtain estimates of important quantities such as the reproductive rate and the average infection period, along with the more likely date when the pandemic peak may occur. Several under-reporting scenarios were considered in the simulation study, showing how impacting is the lack of information in the modeling. äBayesian modeling of COVID-19 cases with a correction to account for (epmc).pdf DeepDyve Pubget Overpricing