000117412 001__ 117412
000117412 005__ 20250619084223.0
000117412 0247_ $$2doi$$a10.1098/rsta.2021.0119
000117412 0248_ $$2sideral$$a128241
000117412 037__ $$aART-2022-128241
000117412 041__ $$aeng
000117412 100__ $$aSteinegger, Benjamin
000117412 245__ $$aBehavioural response to heterogeneous severity of COVID-19 explains temporal variation of cases among different age groups
000117412 260__ $$c2022
000117412 5060_ $$aAccess copy available to the general public$$fUnrestricted
000117412 5203_ $$aTogether with seasonal effects inducing outdoor or indoor activities, the gradual easing of prophylaxis caused second and third waves of SARS-CoV-2 to emerge in various countries. Interestingly, data indicate that the proportion of infections belonging to the elderly is particularly small during periods of low prevalence and continuously increases as case numbers increase. This effect leads to additional stress on the health care system during periods of high prevalence. Furthermore, infections peak with a slight delay of about a week among the elderly compared to the younger age groups. Here, we provide a mechanistic explanation for this phenomenology attributable to a heterogeneous prophylaxis induced by the age-specific severity of the disease. We model the dynamical adoption of prophylaxis through a two-strategy game and couple it with an SIR spreading model. Our results also indicate that the mixing of contacts among the age groups strongly determines the delay between their peaks in prevalence and the temporal variation in the distribution of cases. This article is part of the theme issue ''Data science approaches to infectious disease surveillance''.
000117412 536__ $$9info:eu-repo/grantAgreement/ES/UZ-IBERCAJA/224220$$9info:eu-repo/grantAgreement/ES/MINECO/PGC2018-094754-B-C21$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-113582GB-I00$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 713679-MFP$$9info:eu-repo/grantAgreement/EC/H2020/713679/EU/Martí i Franquès COFUND/MFP$$9info:eu-repo/grantAgreement/ES/DGA/E19-FENOL Group
000117412 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000117412 590__ $$a5.0$$b2022
000117412 592__ $$a0.637$$b2022
000117412 591__ $$aMULTIDISCIPLINARY SCIENCES$$b19 / 73 = 0.26$$c2022$$dQ2$$eT1
000117412 593__ $$aEngineering (miscellaneous)$$c2022$$dQ1
000117412 593__ $$aPhysics and Astronomy (miscellaneous)$$c2022$$dQ2
000117412 593__ $$aMathematics (miscellaneous)$$c2022$$dQ2
000117412 594__ $$a8.1$$b2022
000117412 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000117412 700__ $$aArola-Fernandez, Lluis
000117412 700__ $$aGranell, Clara
000117412 700__ $$0(orcid)0000-0001-5204-1937$$aGómez Gardeñes, Jesus$$uUniversidad de Zaragoza
000117412 700__ $$aArenas, Alex
000117412 7102_ $$12003$$2395$$aUniversidad de Zaragoza$$bDpto. Física Materia Condensa.$$cÁrea Física Materia Condensada
000117412 773__ $$g380, 2214 (2022), 0119 [13 pp]$$pPhilos. trans. - Royal Soc., Math. phys. eng. sci.$$tPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences$$x1364-503X
000117412 8564_ $$s1293029$$uhttps://zaguan.unizar.es/record/117412/files/texto_completo.pdf$$yVersión publicada
000117412 8564_ $$s1868307$$uhttps://zaguan.unizar.es/record/117412/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000117412 909CO $$ooai:zaguan.unizar.es:117412$$particulos$$pdriver
000117412 951__ $$a2025-06-19-08:41:27
000117412 980__ $$aARTICLE