000134969 001__ 134969
000134969 005__ 20241125101203.0
000134969 0247_ $$2doi$$a10.1038/s41562-023-01747-x
000134969 0248_ $$2sideral$$a138484
000134969 037__ $$aART-2023-138484
000134969 041__ $$aeng
000134969 100__ $$aPangallo, Marco
000134969 245__ $$aThe unequal effects of the health–economy trade-off during the COVID-19 pandemic
000134969 260__ $$c2023
000134969 5060_ $$aAccess copy available to the general public$$fUnrestricted
000134969 5203_ $$aDespite the global impact of the coronavirus disease 2019 pandemic, the question of whether mandated interventions have similar economic and public health effects as spontaneous behavioural change remains unresolved. Addressing this question, and understanding differential effects across socioeconomic groups, requires building quantitative and fine-grained mechanistic models. Here we introduce a data-driven, granular, agent-based model that simulates epidemic and economic outcomes across industries, occupations and income levels. We validate the model by reproducing key outcomes of the first wave of coronavirus disease 2019 in the New York metropolitan area. The key mechanism coupling the epidemic and economic modules is the reduction in consumption due to fear of infection. In counterfactual experiments, we show that a similar trade-off between epidemic and economic outcomes exists both when individuals change their behaviour due to fear of infection and when non-pharmaceutical interventions are imposed. Low-income workers, who perform in-person occupations in customer-facing industries, face the strongest trade-off.
000134969 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E36-23R-FENOL$$9info:eu-repo/grantAgreement/ES/MCIN-AEI-FEDER/PID2020-115800GB-I00
000134969 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000134969 590__ $$a22.3$$b2023
000134969 592__ $$a6.097$$b2023
000134969 591__ $$aMULTIDISCIPLINARY SCIENCES$$b5 / 134 = 0.037$$c2023$$dQ1$$eT1
000134969 593__ $$aBehavioral Neuroscience$$c2023$$dQ1
000134969 591__ $$aPSYCHOLOGY, EXPERIMENTAL$$b1 / 99 = 0.01$$c2023$$dQ1$$eT1
000134969 593__ $$aSocial Psychology$$c2023$$dQ1
000134969 591__ $$aNEUROSCIENCES$$b2 / 310 = 0.006$$c2023$$dQ1$$eT1
000134969 593__ $$aExperimental and Cognitive Psychology$$c2023$$dQ1
000134969 594__ $$a36.8$$b2023
000134969 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000134969 700__ $$0(orcid)0000-0002-1192-8707$$aAleta, Alberto$$uUniversidad de Zaragoza
000134969 700__ $$adel Rio-Chanona, R. Maria
000134969 700__ $$aPichler, Anton
000134969 700__ $$aMartín-Corral, David
000134969 700__ $$aChinazzi, Matteo
000134969 700__ $$aLafond, François
000134969 700__ $$aAjelli, Marco
000134969 700__ $$aMoro, Esteban
000134969 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Yamir$$uUniversidad de Zaragoza
000134969 700__ $$aVespignani, Alessandro
000134969 700__ $$aFarmer, J. Doyne
000134969 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000134969 773__ $$g8, 2 (2023), 264-275$$pNat. hum. behav.$$tNature human behaviour$$x2397-3374
000134969 8564_ $$s5744724$$uhttps://zaguan.unizar.es/record/134969/files/texto_completo.pdf$$yVersión publicada
000134969 8564_ $$s2670939$$uhttps://zaguan.unizar.es/record/134969/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000134969 909CO $$ooai:zaguan.unizar.es:134969$$particulos$$pdriver
000134969 951__ $$a2024-11-22-12:12:51
000134969 980__ $$aARTICLE