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10.1007/s41109-021-00366-7 http://scihub22266oqcxt.onion/10.1007/s41109-021-00366-7 33821212!8012750!33821212     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Appl+Netw+Sci 2021 ; 6 (1): 27 Nephropedia Template TP {{tp|p=33821212|t=2021. Modeling partial lockdowns in multiplex networks using partition strategies |pdf=|usr=}}{{33821212}} gab.com Text Modeling partial lockdowns in multiplex networks using partition strategies JO: Appl Netw Sci http://www.kidney.de/pget.php?&tw=1&pmid=33821212 #FOAvip National stay-at-home orders, or lockdowns, were imposed in several countries to drastically reduce the social interactions mainly responsible for the transmission of the SARS-CoV-2 virus. Despite being essential to slow down the COVID-19 pandemic, these containment measures are associated with an economic burden. In this work, we propose a network approach to model the implementation of a partial lockdown, breaking the society into disconnected components, or partitions. Our model is composed by two main ingredients: a multiplex network representing human contacts within different contexts, formed by a Household layer, a Work layer, and a Social layer including generic social interactions, and a Susceptible-Infected-Recovered process that mimics the epidemic spreading. We compare different partition strategies, with a twofold aim: reducing the epidemic outbreak and minimizing the economic cost associated to the partial lockdown. We also show that the inclusion of unconstrained social interactions dramatically increases the epidemic spreading, while different kinds of restrictions on social interactions help in keeping the benefices of the network partition. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41109-021-00366-7. Twit Text FOAVip Modeling partial lockdowns in multiplex networks using partition strategies ????Appl Netw Sci http://www.kidney.de/pget.php?&tw=1&pmid=33821212 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33821212 #FOAvip English Wikipedia <ref>{{Cite pmid|33821212}}</ref> Modeling partial lockdowns in multiplex networks using partition strategies #MMPMID33821212 Plazas A; Malvestio I; Starnini M; Diaz-Guilera A Appl Netw Sci 2021[]; 6 (1): 27 PMID33821212show ga National stay-at-home orders, or lockdowns, were imposed in several countries to drastically reduce the social interactions mainly responsible for the transmission of the SARS-CoV-2 virus. Despite being essential to slow down the COVID-19 pandemic, these containment measures are associated with an economic burden. In this work, we propose a network approach to model the implementation of a partial lockdown, breaking the society into disconnected components, or partitions. Our model is composed by two main ingredients: a multiplex network representing human contacts within different contexts, formed by a Household layer, a Work layer, and a Social layer including generic social interactions, and a Susceptible-Infected-Recovered process that mimics the epidemic spreading. We compare different partition strategies, with a twofold aim: reducing the epidemic outbreak and minimizing the economic cost associated to the partial lockdown. We also show that the inclusion of unconstrained social interactions dramatically increases the epidemic spreading, while different kinds of restrictions on social interactions help in keeping the benefices of the network partition. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41109-021-00366-7. äModeling partial lockdowns in multiplex networks using partition strat(epmc).pdf DeepDyve Pubget Overpricing