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10.1038/s41598-020-72175-4 http://scihub22266oqcxt.onion/10.1038/s41598-020-72175-4 32985537!7522260!32985537     free     free     free 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 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 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 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2020 ; 10 (1): 15828 Nephropedia Template TP {{tp|p=32985537|t=2020. Interplay of social distancing and border restrictions for pandemics via the epidemic renormalisation group framework |pdf=|usr=}}{{32985537}} gab.com Text Interplay of social distancing and border restrictions for pandemics via the epidemic renormalisation group framework JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=32985537 #FOAvip One of the biggest threats to humanity are pandemics. In our global society they can rage around the world with an immense toll in terms of human, economic and social impact. Forecasting the spreading of a pandemic is, therefore, paramount in helping governments to enforce a number of social and economic measures, apt at curbing the pandemic and dealing with its aftermath. We demonstrate that the epidemic renormalisation group approach to pandemics provides an effective and simple way to investigate the dynamics of disease transmission and spreading across different regions of the world. The framework also allows for reliable projections on the impact of travel limitations and social distancing measures on global epidemic spread. We test and calibrate it on reported COVID-19 cases while unveiling the mechanism that governs the delay in the relative peaks of newly infected cases among different regions of the globe. We discover that social distancing measures are more effective than travel limitations across borders in delaying the epidemic peak. We further provide the link to compartmental models such as the time-honoured SIR-like models. We also show how to generalise the framework to account for the interactions across several regions of the world, replacing or complementing large scale simulations. Twit Text FOAVip Interplay of social distancing and border restrictions for pandemics via the epidemic renormalisation group framework ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=32985537 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32985537 #FOAvip English Wikipedia <ref>{{Cite pmid|32985537}}</ref> Interplay of social distancing and border restrictions for pandemics via the epidemic renormalisation group framework #MMPMID32985537 Cacciapaglia G; Sannino F Sci Rep 2020[Sep]; 10 (1): 15828 PMID32985537show ga One of the biggest threats to humanity are pandemics. In our global society they can rage around the world with an immense toll in terms of human, economic and social impact. Forecasting the spreading of a pandemic is, therefore, paramount in helping governments to enforce a number of social and economic measures, apt at curbing the pandemic and dealing with its aftermath. We demonstrate that the epidemic renormalisation group approach to pandemics provides an effective and simple way to investigate the dynamics of disease transmission and spreading across different regions of the world. The framework also allows for reliable projections on the impact of travel limitations and social distancing measures on global epidemic spread. We test and calibrate it on reported COVID-19 cases while unveiling the mechanism that governs the delay in the relative peaks of newly infected cases among different regions of the globe. We discover that social distancing measures are more effective than travel limitations across borders in delaying the epidemic peak. We further provide the link to compartmental models such as the time-honoured SIR-like models. We also show how to generalise the framework to account for the interactions across several regions of the world, replacing or complementing large scale simulations. |*Psychological Distance[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Communicable Disease Control/*methods[MESH] |Coronavirus Infections/*epidemiology/*prevention & control[MESH] |Emigration and Immigration/*statistics & numerical data[MESH] |Europe/epidemiology[MESH] |Humans[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/*epidemiology/*prevention & control[MESH] |SARS-CoV-2[MESH] |Travel[MESH]Interplay of social distancing and border restrictions for pandemics v(epmc).pdf DeepDyve Pubget Overpricing