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10.3390/jcm9030789 http://scihub22266oqcxt.onion/10.3390/jcm9030789 32183172!7141223!32183172     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       J+Clin+Med 2020 ; 9 (3): ä Nephropedia Template TP {{tp|p=32183172|t=2020. Prediction of the Epidemic Peak of Coronavirus Disease in Japan, 2020 |pdf=|usr=}}{{32183172}} gab.com Text Prediction of the Epidemic Peak of Coronavirus Disease in Japan, 2020 JO: J Clin Med http://www.kidney.de/pget.php?&tw=1&pmid=32183172 #FOAvip The first case of coronavirus disease 2019 (COVID-19) in Japan was reported on 15 January 2020 and the number of reported cases has increased day by day. The purpose of this study is to give a prediction of the epidemic peak for COVID-19 in Japan by using the real-time data from 15 January to 29 February 2020. Taking into account the uncertainty due to the incomplete identification of infective population, we apply the well-known SEIR compartmental model for the prediction. By using a least-square-based method with Poisson noise, we estimate that the basic reproduction number for the epidemic in Japan is R 0 = 2 . 6 ( 95 % CI, 2 . 4 - 2 . 8 ) and the epidemic peak could possibly reach the early-middle summer. In addition, we obtain the following epidemiological insights: (1) the essential epidemic size is less likely to be affected by the rate of identification of the actual infective population; (2) the intervention has a positive effect on the delay of the epidemic peak; (3) intervention over a relatively long period is needed to effectively reduce the final epidemic size. Twit Text FOAVip Prediction of the Epidemic Peak of Coronavirus Disease in Japan, 2020 ????J Clin Med http://www.kidney.de/pget.php?&tw=1&pmid=32183172 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32183172 #FOAvip English Wikipedia <ref>{{Cite pmid|32183172}}</ref> Prediction of the Epidemic Peak of Coronavirus Disease in Japan, 2020 #MMPMID32183172 Kuniya T J Clin Med 2020[Mar]; 9 (3): ä PMID32183172show ga The first case of coronavirus disease 2019 (COVID-19) in Japan was reported on 15 January 2020 and the number of reported cases has increased day by day. The purpose of this study is to give a prediction of the epidemic peak for COVID-19 in Japan by using the real-time data from 15 January to 29 February 2020. Taking into account the uncertainty due to the incomplete identification of infective population, we apply the well-known SEIR compartmental model for the prediction. By using a least-square-based method with Poisson noise, we estimate that the basic reproduction number for the epidemic in Japan is R 0 = 2 . 6 ( 95 % CI, 2 . 4 - 2 . 8 ) and the epidemic peak could possibly reach the early-middle summer. In addition, we obtain the following epidemiological insights: (1) the essential epidemic size is less likely to be affected by the rate of identification of the actual infective population; (2) the intervention has a positive effect on the delay of the epidemic peak; (3) intervention over a relatively long period is needed to effectively reduce the final epidemic size. äPrediction of the Epidemic Peak of Coronavirus Disease in Japan, 2020 (epmc).pdf DeepDyve Pubget Overpricing