000118942 001__ 118942
000118942 005__ 20251113150202.0
000118942 0247_ $$2doi$$a10.1073/pnas.2112182119
000118942 0248_ $$2sideral$$a130073
000118942 037__ $$aART-2022-130073
000118942 041__ $$aeng
000118942 100__ $$0(orcid)0000-0002-1192-8707$$aAleta, A.$$uUniversidad de Zaragoza
000118942 245__ $$aQuantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas
000118942 260__ $$c2022
000118942 5060_ $$aAccess copy available to the general public$$fUnrestricted
000118942 5203_ $$aDetailed characterization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission across different settings can help design less disruptive interventions. We used real-time, privacy-enhanced mobility data in the New York City, NY and Seattle, WA metropolitan areas to build a detailed agent-based model of SARS-CoV-2 infection to estimate the where, when, and magnitude of transmission events during the pandemic’s first wave. We estimate that only 18% of individuals produce most infections (80%), with about 10% of events that can be considered superspreading events (SSEs). Although mass gatherings present an important risk for SSEs, we estimate that the bulk of transmission occurred in smaller events in settings like workplaces, grocery stores, or food venues. The places most important for transmission change during the pandemic and are different across cities, signaling the large underlying behavioral component underneath them. Our modeling complements case studies and epidemiological data and indicates that real-time tracking of transmission events could help evaluate and define targeted mitigation policies. Copyright © 2022 the Author(s)
000118942 536__ $$9info:eu-repo/grantAgreement/ES/MCIN-AEI-FEDER/PID2020-115800GB-I00$$9info:eu-repo/grantAgreement/ES/DGA/E36-20R$$9info:eu-repo/grantAgreement/ES/MICINN/FIS2016-78904-C3-3-P$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-106811GB-C32$$9info:eu-repo/grantAgreement/ES/UZ/UZ-SANTANDER/2020-0274
000118942 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000118942 590__ $$a11.1$$b2022
000118942 592__ $$a4.026$$b2022
000118942 591__ $$aMULTIDISCIPLINARY SCIENCES$$b8 / 73 = 0.11$$c2022$$dQ1$$eT1
000118942 593__ $$aMultidisciplinary$$c2022$$dQ1
000118942 594__ $$a19.2$$b2022
000118942 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000118942 700__ $$aMartín-Corral, D.
000118942 700__ $$aBakker, M. A.
000118942 700__ $$ay Piontti, A. P.
000118942 700__ $$aAjelli, M.
000118942 700__ $$aLitvinova, M.
000118942 700__ $$aChinazzi, M.
000118942 700__ $$aDean, N. E.
000118942 700__ $$aHalloran, M. E.
000118942 700__ $$aLongini, I. M., J.
000118942 700__ $$aPentland, A.
000118942 700__ $$aVespignani, A.
000118942 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Y.$$uUniversidad de Zaragoza
000118942 700__ $$aMoro, E.
000118942 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000118942 773__ $$g119, 26 (2022), e2112182119 [8 pp]$$pProc. Natl. Acad. Sci.$$tProceedings of the National Academy of Sciences of the United States of America$$x0027-8424
000118942 8564_ $$s7646797$$uhttps://zaguan.unizar.es/record/118942/files/texto_completo.pdf$$yVersión publicada
000118942 8564_ $$s3645483$$uhttps://zaguan.unizar.es/record/118942/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000118942 909CO $$ooai:zaguan.unizar.es:118942$$particulos$$pdriver
000118942 951__ $$a2025-11-13-15:00:41
000118942 980__ $$aARTICLE