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10.3390/biology9060132 http://scihub22266oqcxt.onion/10.3390/biology9060132 32560572!7345722!32560572     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32560572&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 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biology+(Basel) 2020 ; 9 (6): ä Nephropedia Template TP {{tp|p=32560572|t=2020. Unreported Cases for Age Dependent COVID-19 Outbreak in Japan |pdf=|usr=}}{{32560572}} gab.com Text Unreported Cases for Age Dependent COVID-19 Outbreak in Japan JO: Biology (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32560572 #FOAvip We investigate the age structured data for the COVID-19 outbreak in Japan. We consider a mathematical model for the epidemic with unreported infectious patient with and without age structure. In particular, we build a new mathematical model and a new computational method to fit the data by using age classes dependent exponential growth at the early stage of the epidemic. This allows to take into account differences in the response of patients to the disease according to their age. This model also allows for a heterogeneous response of the population to the social distancing measures taken by the local government. We fit this model to the observed data and obtain a snapshot of the effective transmissions occurring inside the population at different times, which indicates where and among whom the disease propagates after the start of public mitigation measures. Twit Text FOAVip Unreported Cases for Age Dependent COVID-19 Outbreak in Japan ????Biology (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32560572 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32560572 #FOAvip English Wikipedia <ref>{{Cite pmid|32560572}}</ref> Unreported Cases for Age Dependent COVID-19 Outbreak in Japan #MMPMID32560572 Griette Q; Magal P; Seydi O Biology (Basel) 2020[Jun]; 9 (6): ä PMID32560572show ga We investigate the age structured data for the COVID-19 outbreak in Japan. We consider a mathematical model for the epidemic with unreported infectious patient with and without age structure. In particular, we build a new mathematical model and a new computational method to fit the data by using age classes dependent exponential growth at the early stage of the epidemic. This allows to take into account differences in the response of patients to the disease according to their age. This model also allows for a heterogeneous response of the population to the social distancing measures taken by the local government. We fit this model to the observed data and obtain a snapshot of the effective transmissions occurring inside the population at different times, which indicates where and among whom the disease propagates after the start of public mitigation measures. äUnreported Cases for Age Dependent COVID-19 Outbreak in Japan (epmc).pdf DeepDyve Pubget Overpricing