000123855 001__ 123855
000123855 005__ 20251113150203.0
000123855 0247_ $$2doi$$a10.1016/j.chaos.2022.111849
000123855 0248_ $$2sideral$$a131811
000123855 037__ $$aART-2022-131811
000123855 041__ $$aeng
000123855 100__ $$aVentura, Paulo Cesar
000123855 245__ $$aEpidemic spreading in populations of mobile agents with adaptive behavioral response
000123855 260__ $$c2022
000123855 5060_ $$aAccess copy available to the general public$$fUnrestricted
000123855 5203_ $$aDespite the advanced stage of epidemic modeling, there is a major demand for methods to incorporate behavioral responses to the spread of a disease, such as social distancing and adoption of prevention methods. Mobility plays an important role on epidemic dynamics and is also affected by behavioral changes, but there are many situations in which real mobility data is incomplete or inaccessible. We present a model for epidemic spreading in temporal networks of mobile agents that incorporates local behavioral responses. Susceptible agents are allowed to move towards the opposite direction of infected agents in their neighborhood. We show that this mechanism considerably decreases the stationary prevalence when the spatial density of agents is low. However, for higher densities, the mechanism causes an abrupt phase transition, where a new bistable phase appears. We develop a semi-analytic approach for the case when the mobility is fast compared to the disease dynamics, and use it to argue that the bistability is caused by the emergence of spatial clusters of susceptible agents. Finally, we characterize the temporal networks formed in the fast mobility regime, showing how the degree distributions and other metrics are affected by the behavioral mechanism. Our work incorporates results previously known from adaptive networks into population of mobile agents, which can be further developed to be used in mobility-driven models.
000123855 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E36-20R$$9info:eu-repo/grantAgreement/ES/MCIN-AEI-FEDER/PID2020-115800GB-I00
000123855 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000123855 590__ $$a7.8$$b2022
000123855 592__ $$a1.393$$b2022
000123855 591__ $$aPHYSICS, MATHEMATICAL$$b1 / 56 = 0.018$$c2022$$dQ1$$eT1
000123855 593__ $$aApplied Mathematics$$c2022$$dQ1
000123855 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b3 / 107 = 0.028$$c2022$$dQ1$$eT1
000123855 593__ $$aMathematical Physics$$c2022$$dQ1
000123855 591__ $$aPHYSICS, MULTIDISCIPLINARY$$b11 / 85 = 0.129$$c2022$$dQ1$$eT1
000123855 593__ $$aStatistical and Nonlinear Physics$$c2022$$dQ1
000123855 593__ $$aPhysics and Astronomy (miscellaneous)$$c2022$$dQ1
000123855 593__ $$aMathematics (miscellaneous)$$c2022$$dQ1
000123855 594__ $$a11.8$$b2022
000123855 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000123855 700__ $$0(orcid)0000-0002-1192-8707$$aAleta, Alberto$$uUniversidad de Zaragoza
000123855 700__ $$aRodrigues, Francisco A.
000123855 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Yamir$$uUniversidad de Zaragoza
000123855 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000123855 773__ $$g156 (2022), 111849 [10 pp.]$$pChaos, solitons fractals$$tChaos, Solitons and Fractals$$x0960-0779
000123855 8564_ $$s4722340$$uhttps://zaguan.unizar.es/record/123855/files/texto_completo.pdf$$yPostprint
000123855 8564_ $$s3060435$$uhttps://zaguan.unizar.es/record/123855/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000123855 909CO $$ooai:zaguan.unizar.es:123855$$particulos$$pdriver
000123855 951__ $$a2025-11-13-15:00:42
000123855 980__ $$aARTICLE