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10.3390/healthcare8020099 http://scihub22266oqcxt.onion/10.3390/healthcare8020099 32326512!7349853!32326512     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Healthcare+(Basel) 2020 ; 8 (2): ä Nephropedia Template TP {{tp|p=32326512|t=2020. Epidemiology of Coronavirus COVID-19: Forecasting the Future Incidence in Different Countries |pdf=|usr=}}{{32326512}} gab.com Text Epidemiology of Coronavirus COVID-19: Forecasting the Future Incidence in Different Countries JO: Healthcare (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32326512 #FOAvip This paper forecasts the future spread of COVID-19 by exploiting the identified lead-lag effects between different countries. Specifically, we first determine the past relation among nations with the aid of dynamic time warping. This procedure allows an elastic adjustment of the time axis to find similar but phase-shifted sequences. Afterwards, the established framework utilizes information about the leading country to predict the Coronavirus spread of the following nation. The presented methodology is applied to confirmed Coronavirus cases from 1 January 2020 to 28 March 2020. Our results show that China leads all other countries in the range of 29 days for South Korea and 44 days for the United States. Finally, we predict a future collapse of the healthcare systems of the United Kingdom and Switzerland in case of our explosion scenario. Twit Text FOAVip Epidemiology of Coronavirus COVID-19: Forecasting the Future Incidence in Different Countries ????Healthcare (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32326512 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32326512 #FOAvip English Wikipedia <ref>{{Cite pmid|32326512}}</ref> Epidemiology of Coronavirus COVID-19: Forecasting the Future Incidence in Different Countries #MMPMID32326512 Stubinger J; Schneider L Healthcare (Basel) 2020[Apr]; 8 (2): ä PMID32326512show ga This paper forecasts the future spread of COVID-19 by exploiting the identified lead-lag effects between different countries. Specifically, we first determine the past relation among nations with the aid of dynamic time warping. This procedure allows an elastic adjustment of the time axis to find similar but phase-shifted sequences. Afterwards, the established framework utilizes information about the leading country to predict the Coronavirus spread of the following nation. The presented methodology is applied to confirmed Coronavirus cases from 1 January 2020 to 28 March 2020. Our results show that China leads all other countries in the range of 29 days for South Korea and 44 days for the United States. Finally, we predict a future collapse of the healthcare systems of the United Kingdom and Switzerland in case of our explosion scenario. äEpidemiology of Coronavirus COVID-19: Forecasting the Future Incidence(epmc).pdf DeepDyve Pubget Overpricing