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10.1371/journal.pone.0242401 http://scihub22266oqcxt.onion/10.1371/journal.pone.0242401 33211725!7676669!33211725     free     free     free       PLoS+One 2020 ; 15 (11): e0242401 Nephropedia Template TP {{tp|p=33211725|t=2020. Kemeny-based testing for COVID-19 |pdf=|usr=}}{{33211725}} gab.com Text Kemeny-based testing for COVID-19 JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33211725 #FOAvip Testing, tracking and tracing abilities have been identified as pivotal in helping countries to safely reopen activities after the first wave of the COVID-19 virus. Contact tracing apps give the unprecedented possibility to reconstruct graphs of daily contacts, so the question is: who should be tested? As human contact networks are known to exhibit community structure, in this paper we show that the Kemeny constant of a graph can be used to identify and analyze bridges between communities in a graph. Our 'Kemeny indicator' is the value of the Kemeny constant in the new graph that is obtained when a node is removed from the original graph. We show that testing individuals who are associated with large values of the Kemeny indicator can help in efficiently intercepting new virus outbreaks, when they are still in their early stage. Extensive simulations provide promising results in early identification and in blocking the possible 'super-spreaders' links that transmit disease between different communities. Twit Text FOAVip Kemeny-based testing for COVID-19 ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33211725 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33211725 #FOAvip English Wikipedia <ref>{{Cite pmid|33211725}}</ref> Kemeny-based testing for COVID-19 #MMPMID33211725 Yilmaz S; Dudkina E; Bin M; Crisostomi E; Ferraro P; Murray-Smith R; Parisini T; Stone L; Shorten R PLoS One 2020[]; 15 (11): e0242401 PMID33211725show ga Testing, tracking and tracing abilities have been identified as pivotal in helping countries to safely reopen activities after the first wave of the COVID-19 virus. Contact tracing apps give the unprecedented possibility to reconstruct graphs of daily contacts, so the question is: who should be tested? As human contact networks are known to exhibit community structure, in this paper we show that the Kemeny constant of a graph can be used to identify and analyze bridges between communities in a graph. Our 'Kemeny indicator' is the value of the Kemeny constant in the new graph that is obtained when a node is removed from the original graph. We show that testing individuals who are associated with large values of the Kemeny indicator can help in efficiently intercepting new virus outbreaks, when they are still in their early stage. Extensive simulations provide promising results in early identification and in blocking the possible 'super-spreaders' links that transmit disease between different communities. |*Contact Tracing[MESH] |Algorithms[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques[MESH] |Coronavirus Infections/*diagnosis/*transmission[MESH] |Humans[MESH] |Models, Theoretical[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis/*transmission[MESH]Kemeny-based testing for COVID-19 (epmc).pdf DeepDyve Pubget Overpricing