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10.1098/rsif.2020.0936 http://scihub22266oqcxt.onion/10.1098/rsif.2020.0936 33622148!8086858!33622148     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+R+Soc+Interface 2021 ; 18 (175): 20200936 Nephropedia Template TP {{tp|p=33622148|t=2021. Trade-offs between mobility restrictions and transmission of SARS-CoV-2 |pdf=|usr=}}{{33622148}} gab.com Text Trade-offs between mobility restrictions and transmission of SARS-CoV-2 JO: J R Soc Interface http://www.kidney.de/pget.php?&tw=1&pmid=33622148 #FOAvip In their response to the COVID-19 outbreak, governments face the dilemma to balance public health and economy. Mobility plays a central role in this dilemma because the movement of people enables both economic activity and virus spread. We use mobility data in the form of counts of travellers between regions, to extend the often-used SEIR models to include mobility between regions. We quantify the trade-off between mobility and infection spread in terms of a single parameter, to be chosen by policy makers, and propose strategies for restricting mobility so that the restrictions are minimal while the infection spread is effectively limited. We consider restrictions where the country is divided into regions, and study scenarios where mobility is allowed within these regions, and disallowed between them. We propose heuristic methods to approximate optimal choices for these regions. We evaluate the obtained restrictions based on our trade-off. The results show that our methods are especially effective when the infections are highly concentrated, e.g. around a few municipalities, as resulting from superspreading events that play an important role in the spread of COVID-19. We demonstrate our method in the example of the Netherlands. The results apply more broadly when mobility data are available. Twit Text FOAVip Trade-offs between mobility restrictions and transmission of SARS-CoV-2 ????J R Soc Interface http://www.kidney.de/pget.php?&tw=1&pmid=33622148 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33622148 #FOAvip English Wikipedia <ref>{{Cite pmid|33622148}}</ref> Trade-offs between mobility restrictions and transmission of SARS-CoV-2 #MMPMID33622148 Gosgens M; Hendriks T; Boon M; Steenbakkers W; Heesterbeek H; van der Hofstad R; Litvak N J R Soc Interface 2021[Feb]; 18 (175): 20200936 PMID33622148show ga In their response to the COVID-19 outbreak, governments face the dilemma to balance public health and economy. Mobility plays a central role in this dilemma because the movement of people enables both economic activity and virus spread. We use mobility data in the form of counts of travellers between regions, to extend the often-used SEIR models to include mobility between regions. We quantify the trade-off between mobility and infection spread in terms of a single parameter, to be chosen by policy makers, and propose strategies for restricting mobility so that the restrictions are minimal while the infection spread is effectively limited. We consider restrictions where the country is divided into regions, and study scenarios where mobility is allowed within these regions, and disallowed between them. We propose heuristic methods to approximate optimal choices for these regions. We evaluate the obtained restrictions based on our trade-off. The results show that our methods are especially effective when the infections are highly concentrated, e.g. around a few municipalities, as resulting from superspreading events that play an important role in the spread of COVID-19. We demonstrate our method in the example of the Netherlands. The results apply more broadly when mobility data are available. |*COVID-19/epidemiology/transmission[MESH] |*Disease Outbreaks[MESH] |*Models, Biological[MESH] |*SARS-CoV-2[MESH] |*Travel[MESH]Trade-offs between mobility restrictions and transmission of SARS-CoV-(epmc).pdf DeepDyve Pubget Overpricing