000117137 001__ 117137
000117137 005__ 20240319080952.0
000117137 0247_ $$2doi$$a10.1016/j.chaos.2022.112012
000117137 0248_ $$2sideral$$a128440
000117137 037__ $$aART-2022-128440
000117137 041__ $$aeng
000117137 100__ $$aReyna-Lara, Adriana
000117137 245__ $$aThe interconnection between independent reactive control policies drives the stringency of local containment
000117137 260__ $$c2022
000117137 5060_ $$aAccess copy available to the general public$$fUnrestricted
000117137 5203_ $$aThe lack of medical treatments and vaccines upon the arrival of the SARS-CoV-2 virus has made non-pharmaceutical interventions the best allies in safeguarding human lives in the face of the COVID-19 pandemic. Here we propose a self-organized epidemic model with multi-scale control policies that are relaxed or strengthened depending on the extent of the epidemic outbreak. We show that optimizing the balance between the effects of epidemic control and the associated socio-economic cost is strongly linked to the stringency of control measures. We also show that non-pharmaceutical interventions acting at different spatial scales, from creating social bubbles at the household level to constraining mobility between different cities, are strongly interrelated. We find that policy functionality changes for better or worse depending on network connectivity, meaning that some populations may allow for less restrictive measures than others if both have the same resources to respond to the evolving epidemic.
000117137 536__ $$9info:eu-repo/grantAgreement/ES/UZ-IBERCAJA/224220$$9info:eu-repo/grantAgreement/ES/MINECO/PGC2018-094754-B-C21$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-113582GB-I00$$9info:eu-repo/grantAgreement/ES/DGA/E36-17R-FENOL
000117137 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000117137 590__ $$a7.8$$b2022
000117137 592__ $$a1.393$$b2022
000117137 591__ $$aPHYSICS, MATHEMATICAL$$b1 / 56 = 0.018$$c2022$$dQ1$$eT1
000117137 593__ $$aApplied Mathematics$$c2022$$dQ1
000117137 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b3 / 107 = 0.028$$c2022$$dQ1$$eT1
000117137 593__ $$aMathematical Physics$$c2022$$dQ1
000117137 591__ $$aPHYSICS, MULTIDISCIPLINARY$$b11 / 85 = 0.129$$c2022$$dQ1$$eT1
000117137 593__ $$aStatistical and Nonlinear Physics$$c2022$$dQ1
000117137 593__ $$aPhysics and Astronomy (miscellaneous)$$c2022$$dQ1
000117137 593__ $$aMathematics (miscellaneous)$$c2022$$dQ1
000117137 594__ $$a11.8$$b2022
000117137 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000117137 700__ $$0(orcid)0000-0002-6388-4056$$aSoriano-Paños, David
000117137 700__ $$aArenas, Alex
000117137 700__ $$0(orcid)0000-0002-3484-6413$$aGómez-Gardeñes, Jesús$$uUniversidad de Zaragoza
000117137 7102_ $$12003$$2395$$aUniversidad de Zaragoza$$bDpto. Física Materia Condensa.$$cÁrea Física Materia Condensada
000117137 773__ $$g158 (2022), 112012 [8 pp.]$$pChaos, solitons fractals$$tChaos, Solitons and Fractals$$x0960-0779
000117137 8564_ $$s1422713$$uhttps://zaguan.unizar.es/record/117137/files/texto_completo.pdf$$yVersión publicada
000117137 8564_ $$s3041844$$uhttps://zaguan.unizar.es/record/117137/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000117137 909CO $$ooai:zaguan.unizar.es:117137$$particulos$$pdriver
000117137 951__ $$a2024-03-18-13:14:03
000117137 980__ $$aARTICLE