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dc.contributor.authorvan Lissa, Caspar J.
dc.contributor.authorStroebe, Wolfgang
dc.contributor.authorvanDellen, Michelle R.
dc.contributor.authorLeander, N. Pontus
dc.contributor.authorAgostini, Maximilian
dc.contributor.authorDraws, Tim
dc.contributor.authorGrygoryshyn, Andrii
dc.contributor.authorGützgow, Ben
dc.contributor.authorKreienkamp, Jannis
dc.contributor.authorVetter, Clara S.
dc.contributor.authorAbakoumkin, Georgios
dc.contributor.authorAbdul Khaiyom, Jamilah Hanum
dc.contributor.authorAhmedi, Vjolica
dc.contributor.authorAkkas, Handan
dc.contributor.authorAlmenara, Carlos A.
dc.contributor.authorAtta, Mohsin
dc.contributor.authorBagci, Sabahat Cigdem
dc.contributor.authorBasel, Sima
dc.contributor.authorKida, Edona Berisha
dc.contributor.authorBernardo, Allan B.I.
dc.contributor.authorButtrick, Nicholas R.
dc.contributor.authorChobthamkit, Phatthanakit
dc.contributor.authorChoi, Hoon Seok
dc.contributor.authorCristea, Mioara
dc.contributor.authorCsaba, Sára
dc.contributor.authorDamnjanović, Kaja
dc.contributor.authorDanyliuk, Ivan
dc.contributor.authorDash, Arobindu
dc.contributor.authorDi Santo, Daniela
dc.contributor.authorDouglas, Karen M.
dc.contributor.authorEnea, Violeta
dc.contributor.authorFaller, Daiane Gracieli
dc.contributor.authorFitzsimons, Gavan J.
dc.contributor.authorGheorghiu, Alexandra
dc.contributor.authorGómez, Ángel
dc.contributor.authorHamaidia, Ali
dc.contributor.authorHan, Qing
dc.contributor.authorHelmy, Mai
dc.contributor.authorHudiyana, Joevarian
dc.contributor.authorJeronimus, Bertus F.
dc.contributor.authorJiang, Ding Yu
dc.contributor.authorJovanović, Veljko
dc.contributor.authorKamenov, Željka
dc.contributor.authorKende, Anna
dc.contributor.authorKeng, Shian Ling
dc.contributor.authorThanh Kieu, Tra Thi
dc.contributor.authorKoc, Yasin
dc.contributor.authorKovyazina, Kamila
dc.contributor.authorKozytska, Inna
dc.contributor.authorKrause, Joshua
dc.contributor.authorKruglanksi, Arie W.
dc.contributor.authorKurapov, Anton
dc.contributor.authorKutlaca, Maja
dc.contributor.authorLantos, Nóra Anna
dc.contributor.authorLemay, Edward P.
dc.contributor.authorJaya Lesmana, Cokorda Bagus
dc.contributor.authorLouis, Winnifred R.
dc.contributor.authorLueders, Adrian
dc.contributor.authorMalik, Najma Iqbal
dc.contributor.authorMartinez, Anton P.
dc.contributor.authorMcCabe, Kira O.
dc.contributor.authorMehulić, Jasmina
dc.contributor.authorMilla, Mirra Noor
dc.contributor.authorMohammed, Idris
dc.contributor.authorMolinario, Erica
dc.contributor.authorMoyano, Manuel
dc.contributor.authorMuhammad, Hayat
dc.contributor.authorMula, Silvana
dc.contributor.authorMuluk, Hamdi
dc.contributor.authorMyroniuk, Solomiia
dc.contributor.authorNajafi, Reza
dc.contributor.authorNisa, Claudia F.
dc.contributor.authorNyúl, Boglárka
dc.contributor.authorO'Keefe, Paul A.
dc.contributor.authorOlivas Osuna, Jose Javier
dc.contributor.authorOsin, Evgeny N.
dc.contributor.authorPark, Joonha
dc.contributor.authorPica, Gennaro
dc.contributor.authorPierro, Antonio
dc.contributor.authorRees, Jonas H.
dc.contributor.authorReitsema, Anne Margit
dc.contributor.authorResta, Elena
dc.contributor.authorRullo, Marika
dc.contributor.authorRyan, Michelle K.
dc.contributor.authorSamekin, Adil
dc.contributor.authorSanttila, Pekka
dc.contributor.authorSasin, Edyta M.
dc.contributor.authorSchumpe, Birga M.
dc.contributor.authorSelim, Heyla A.
dc.contributor.authorStanton, Michael Vicente
dc.contributor.authorSultana, Samiah
dc.contributor.authorSutton, Robbie M.
dc.contributor.authorTseliou, Eleftheria
dc.contributor.authorUtsugi, Akira
dc.contributor.authorAnne van Breen, Jolien
dc.contributor.authorvan Veen, Kees
dc.contributor.authorVázquez, Alexandra
dc.contributor.authorWollast, Robin
dc.contributor.authorWai-Lan Yeung, Victoria
dc.contributor.authorZand, Somayeh
dc.date.accessioned2022-05-06T15:50:47Z
dc.date.available2022-05-06T15:50:47Z
dc.date.issued2022-04-08
dc.identifier.doi10.1016/j.patter.2022.100482
dc.identifier.urihttp://hdl.handle.net/10757/659813
dc.description.abstractBefore vaccines for coronavirus disease 2019 (COVID-19) became available, a set of infection-prevention behaviors constituted the primary means to mitigate the virus spread. Our study aimed to identify important predictors of this set of behaviors. Whereas social and health psychological theories suggest a limited set of predictors, machine-learning analyses can identify correlates from a larger pool of candidate predictors. We used random forests to rank 115 candidate correlates of infection-prevention behavior in 56,072 participants across 28 countries, administered in March to May 2020. The machine-learning model predicted 52% of the variance in infection-prevention behavior in a separate test sample—exceeding the performance of psychological models of health behavior. Results indicated the two most important predictors related to individual-level injunctive norms. Illustrating how data-driven methods can complement theory, some of the most important predictors were not derived from theories of health behavior—and some theoretically derived predictors were relatively unimportant.es_PE
dc.description.sponsorshipNew York University Abu Dhabies_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherCell Presses_PE
dc.relation.urlhttps://www.cell.com/patterns/fulltext/S2666-3899(22)00067-8es_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.sourceRepositorio Academico - UPCes_PE
dc.subjectCOVID-19es_PE
dc.subjectHealth behaviorses_PE
dc.subjectMachine learninges_PE
dc.subjectPublic goods dilemmaes_PE
dc.subjectRandom forestes_PE
dc.subjectSocial normses_PE
dc.titleUsing machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemices_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.eissn26663899
dc.identifier.journalPatternses_PE
dc.description.peerreviewRevisión por pareses_PE
dc.identifier.eid2-s2.0-85127500709
dc.identifier.scopusidSCOPUS_ID:85127500709
dc.identifier.piiS2666389922000678
dc.source.journaltitlePatterns
dc.source.volume3
dc.source.issue4
refterms.dateFOA2022-05-06T15:50:48Z
dc.identifier.isni0000 0001 2196 144X


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