000125743 001__ 125743
000125743 005__ 20240319081015.0
000125743 0247_ $$2doi$$a10.1063/5.0085532
000125743 0248_ $$2sideral$$a128962
000125743 037__ $$aART-2022-128962
000125743 041__ $$aeng
000125743 100__ $$aValgañón, P.
000125743 245__ $$aContagion-diffusion processes with recurrent mobility patterns of distinguishable agents
000125743 260__ $$c2022
000125743 5060_ $$aAccess copy available to the general public$$fUnrestricted
000125743 5203_ $$aThe analysis of contagion-diffusion processes in metapopulations is a powerful theoretical tool to study how mobility influences the spread of communicable diseases. Nevertheless, many metapopulation approaches use indistinguishable agents to alleviate analytical difficulties. Here, we address the impact that recurrent mobility patterns, and the spatial distribution of distinguishable agents, have on the unfolding of epidemics in large urban areas. We incorporate the distinguishable nature of agents regarding both their residence and their usual destination. The proposed model allows both a fast computation of the spatiotemporal pattern of the epidemic trajectory and the analytical calculation of the epidemic threshold. This threshold is found as the spectral radius of a mixing matrix encapsulating the residential distribution and the specific commuting patterns of agents. We prove that the simplification of indistinguishable individuals overestimates the value of the epidemic threshold.
000125743 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
000125743 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000125743 590__ $$a2.9$$b2022
000125743 592__ $$a0.82$$b2022
000125743 591__ $$aPHYSICS, MATHEMATICAL$$b8 / 56 = 0.143$$c2022$$dQ1$$eT1
000125743 593__ $$aPhysics and Astronomy (miscellaneous)$$c2022$$dQ1
000125743 591__ $$aMATHEMATICS, APPLIED$$b29 / 267 = 0.109$$c2022$$dQ1$$eT1
000125743 593__ $$aMathematical Physics$$c2022$$dQ1
000125743 593__ $$aStatistical and Nonlinear Physics$$c2022$$dQ2
000125743 593__ $$aApplied Mathematics$$c2022$$dQ2
000125743 593__ $$aMedicine (miscellaneous)$$c2022$$dQ2
000125743 594__ $$a5.9$$b2022
000125743 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000125743 700__ $$aSoriano-Paños, D.
000125743 700__ $$aArenas, A.
000125743 700__ $$0(orcid)0000-0002-3484-6413$$aGómez-Gardeñes, J.$$uUniversidad de Zaragoza
000125743 7102_ $$12003$$2395$$aUniversidad de Zaragoza$$bDpto. Física Materia Condensa.$$cÁrea Física Materia Condensada
000125743 773__ $$g32, 4 (2022), 043102 [12 pp.]$$pChaos$$tCHAOS$$x1054-1500
000125743 8564_ $$s3017693$$uhttps://zaguan.unizar.es/record/125743/files/texto_completo.pdf$$yPostprint
000125743 8564_ $$s3408505$$uhttps://zaguan.unizar.es/record/125743/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000125743 909CO $$ooai:zaguan.unizar.es:125743$$particulos$$pdriver
000125743 951__ $$a2024-03-18-15:31:58
000125743 980__ $$aARTICLE