000118078 001__ 118078
000118078 005__ 20240319080955.0
000118078 0247_ $$2doi$$a10.1016/j.ehb.2022.101140
000118078 0248_ $$2sideral$$a128819
000118078 037__ $$aART-2022-128819
000118078 041__ $$aeng
000118078 100__ $$0(orcid)0000-0002-2023-5726$$aGonzález-Val, R.$$uUniversidad de Zaragoza
000118078 245__ $$aMass gathering events and the spread of infectious diseases: Evidence from the early growth phase of COVID-19
000118078 260__ $$c2022
000118078 5060_ $$aAccess copy available to the general public$$fUnrestricted
000118078 5203_ $$aThis paper studies the impact on reported coronavirus 2019 (COVID-19) cases and deaths in Spain resulting from large mass gatherings that occurred from March 6 to March 8, 2020. To study these outcomes, the geographic differences in the planned pre-pandemic major events that took place on these dates were exploited, which is a quasi-random source of variation for identification purposes. We collected daily and detailed information about the number of attendees at football (soccer) and basketball matches in addition to individuals participating in the Women''s Day marches across Spain, which we merged with daily data on reported COVID-19 cases and deaths at the provincial level. Our results reveal evidence of non-negligible COVID-19 cases related to the differences in the percentage of attendees at these major events from March 6 to March 8. In a typical province, approximately 31% of the average daily reported COVID-19 cases per 100, 000 inhabitants between mid-March and early April 2020 can be explained by the participation rate in those major events. A back-of-the-envelope calculation suggests that this implies almost five million euros (169, 000 euros/day) of additional economic cost in the health system of a typical province with one million inhabitants in the period under consideration. Several mechanisms behind the spread of COVID-19 are also examined.
000118078 536__ $$9info:eu-repo/grantAgreement/ES/DGA/S16-ADETRE$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-114354RA-I00
000118078 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000118078 590__ $$a2.5$$b2022
000118078 592__ $$a1.041$$b2022
000118078 591__ $$aECONOMICS$$b150 / 380 = 0.395$$c2022$$dQ2$$eT2
000118078 593__ $$aHealth (social science)$$c2022$$dQ1
000118078 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b101 / 180 = 0.561$$c2022$$dQ3$$eT2
000118078 593__ $$aEconomics, Econometrics and Finance (miscellaneous)$$c2022$$dQ1
000118078 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b133 / 207 = 0.643$$c2022$$dQ3$$eT2
000118078 594__ $$a3.9$$b2022
000118078 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000118078 700__ $$0(orcid)0000-0002-1944-4790$$aMarcén, M.$$uUniversidad de Zaragoza
000118078 7102_ $$14000$$2415$$aUniversidad de Zaragoza$$bDpto. Análisis Económico$$cÁrea Fund. Análisis Económico
000118078 773__ $$g46 (2022), 101140 [21 pp.]$$pEconomics & Human Biology$$tECONOMICS & HUMAN BIOLOGY$$x1570-677X
000118078 8564_ $$s2173561$$uhttps://zaguan.unizar.es/record/118078/files/texto_completo.pdf$$yVersión publicada
000118078 8564_ $$s2541660$$uhttps://zaguan.unizar.es/record/118078/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000118078 909CO $$ooai:zaguan.unizar.es:118078$$particulos$$pdriver
000118078 951__ $$a2024-03-18-13:30:02
000118078 980__ $$aARTICLE