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10.1080/10255842.2020.1759560 http://scihub22266oqcxt.onion/10.1080/10255842.2020.1759560 32367739!7429245!32367739     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       Comput+Methods+Biomech+Biomed+Engin 2020 ; 23 (11): 710-717 Nephropedia Template TP {{tp|p=32367739|t=2020. Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions |pdf=|usr=}}{{32367739}} gab.com Text Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions JO: Comput Methods Biomech Biomed Engin http://www.kidney.de/pget.php?&tw=1&pmid=32367739 #FOAvip For the first time in history, on March 17, 2020, the European Union closed all its external borders in an attempt to contain the spreading of the coronavirus 2019, COVID-19. Throughout two past months, governments around the world have implemented massive travel restrictions and border control to mitigate the outbreak of this global pandemic. However, the precise effects of travel restrictions on the outbreak dynamics of COVID-19 remain unknown. Here we combine a global network mobility model with a local epidemiology model to simulate and predict the outbreak dynamics and outbreak control of COVID-19 across Europe. We correlate our mobility model to passenger air travel statistics and calibrate our epidemiology model using the number of reported COVID-19 cases for each country. Our simulations show that mobility networks of air travel can predict the emerging global diffusion pattern of a pandemic at the early stages of the outbreak. Our results suggest that an unconstrained mobility would have significantly accelerated the spreading of COVID-19, especially in Central Europe, Spain, and France. Ultimately, our network epidemiology model can inform political decision making and help identify exit strategies from current travel restrictions and total lockdown. Twit Text FOAVip Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions ????Comput Methods Biomech Biomed Engin http://www.kidney.de/pget.php?&tw=1&pmid=32367739 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32367739 #FOAvip English Wikipedia <ref>{{Cite pmid|32367739}}</ref> Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions #MMPMID32367739 Linka K; Peirlinck M; Sahli Costabal F; Kuhl E Comput Methods Biomech Biomed Engin 2020[Aug]; 23 (11): 710-717 PMID32367739show ga For the first time in history, on March 17, 2020, the European Union closed all its external borders in an attempt to contain the spreading of the coronavirus 2019, COVID-19. Throughout two past months, governments around the world have implemented massive travel restrictions and border control to mitigate the outbreak of this global pandemic. However, the precise effects of travel restrictions on the outbreak dynamics of COVID-19 remain unknown. Here we combine a global network mobility model with a local epidemiology model to simulate and predict the outbreak dynamics and outbreak control of COVID-19 across Europe. We correlate our mobility model to passenger air travel statistics and calibrate our epidemiology model using the number of reported COVID-19 cases for each country. Our simulations show that mobility networks of air travel can predict the emerging global diffusion pattern of a pandemic at the early stages of the outbreak. Our results suggest that an unconstrained mobility would have significantly accelerated the spreading of COVID-19, especially in Central Europe, Spain, and France. Ultimately, our network epidemiology model can inform political decision making and help identify exit strategies from current travel restrictions and total lockdown. |*Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/*prevention & control/transmission[MESH] |Disease Outbreaks[MESH] |Europe/epidemiology[MESH] |Humans[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/*epidemiology/*prevention & control/transmission[MESH] |SARS-CoV-2[MESH] |Travel[MESH]Outbreak dynamics of COVID-19 in Europe and the effect of travel restr(epmc).pdf DeepDyve Pubget Overpricing