000124359 001__ 124359
000124359 005__ 20251113150203.0
000124359 0247_ $$2doi$$a10.1016/j.epidem.2022.100544
000124359 0248_ $$2sideral$$a132760
000124359 037__ $$aART-2022-132760
000124359 041__ $$aeng
000124359 100__ $$aVentura, Paulo Cesar
000124359 245__ $$aModeling the effects of social distancing on the large-scale spreading of diseases
000124359 260__ $$c2022
000124359 5060_ $$aAccess copy available to the general public$$fUnrestricted
000124359 5203_ $$aTo contain the propagation of emerging diseases that are transmissible from human to human, non-pharmaceutical interventions (NPIs) aimed at reducing the interactions between humans are usually implemented. One example of the latter kind of measures is social distancing, which can be either policy-driven or can arise endogenously in the population as a consequence of the fear of infection. However, if NPIs are lifted before the population reaches herd immunity, further re-introductions of the pathogen would lead to secondary infections. Here we study the effects of different social distancing schemes on the large scale spreading of diseases. Specifically, we generalize metapopulation models to include social distancing mechanisms at the subpopulation level and model short- and long-term strategies that are fed with local or global information about the epidemics. We show that different model ingredients might lead to very diverse outcomes in different subpopulations. Our results suggest that there is not a unique answer to the question of whether contention measures are more efficient if implemented and managed locally or globally and that model outcomes depends on how the full complexity of human interactions is taken into account.
000124359 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/E36-20R$$9info:eu-repo/grantAgreement/ES/MCIN-AEI-FEDER/PID2020-115800GB-I00
000124359 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000124359 590__ $$a3.8$$b2022
000124359 592__ $$a1.448$$b2022
000124359 591__ $$aINFECTIOUS DISEASES$$b49 / 96 = 0.51$$c2022$$dQ3$$eT2
000124359 593__ $$aEpidemiology$$c2022$$dQ1
000124359 593__ $$aInfectious Diseases$$c2022$$dQ1
000124359 593__ $$aMicrobiology$$c2022$$dQ1
000124359 593__ $$aParasitology$$c2022$$dQ1
000124359 593__ $$aPublic Health, Environmental and Occupational Health$$c2022$$dQ1
000124359 593__ $$aVirology$$c2022$$dQ2
000124359 594__ $$a6.5$$b2022
000124359 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000124359 700__ $$0(orcid)0000-0002-1192-8707$$aAleta, Alberto$$uUniversidad de Zaragoza
000124359 700__ $$aRodrigues, Francisco Aparecido
000124359 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Yamir$$uUniversidad de Zaragoza
000124359 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000124359 773__ $$g38 (2022), 100544 [13 pp.]$$pEPIDEMICS$$tEPIDEMICS$$x1755-4365
000124359 8564_ $$s3628217$$uhttps://zaguan.unizar.es/record/124359/files/texto_completo.pdf$$yVersión publicada
000124359 8564_ $$s2683962$$uhttps://zaguan.unizar.es/record/124359/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000124359 909CO $$ooai:zaguan.unizar.es:124359$$particulos$$pdriver
000124359 951__ $$a2025-11-13-15:00:42
000124359 980__ $$aARTICLE