Daniel Herold , Phil-Adrian Klotz , Jan Thomas Schäfer
{"title":"慕尼黑病毒:使用差异中的差异来衡量慕尼黑啤酒节对COVID-19感染率的影响","authors":"Daniel Herold , Phil-Adrian Klotz , Jan Thomas Schäfer","doi":"10.1016/j.healthpol.2025.105332","DOIUrl":null,"url":null,"abstract":"<div><div>With about 6 million visitors, the <em>2022 Oktoberfest</em> in Germany has been one of the largest in-person social events following the COVID-19 pandemic. Despite high vaccination rates in Germany at that time, health authorities pointed out the high risk of getting infected at such events. Using a unique dataset, we estimate the causal impact of the <em>Oktoberfest</em> on the spread of infection by applying an event study design. Our results imply a significant increase in the infection rates during and after <em>Oktoberfest</em>, especially in the age cohorts 15–34 and 35–59. However, the case rate drops relatively quickly after <em>Oktoberfest</em>. We also find little to no effect of the fair on the infection rates of the remaining age cohorts below 15 and above 60 years of age. A robustness check using the hospitalization rate as dependent variable confirms those results. Our findings have important implications for regulations of large social events in times of COVID-19, when the share of vaccinated people in the population is already high.</div></div>","PeriodicalId":55067,"journal":{"name":"Health Policy","volume":"157 ","pages":"Article 105332"},"PeriodicalIF":3.6000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Munich goes viral: Measuring the impact of the Oktoberfest on COVID-19 infection rates using difference-in-differences\",\"authors\":\"Daniel Herold , Phil-Adrian Klotz , Jan Thomas Schäfer\",\"doi\":\"10.1016/j.healthpol.2025.105332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With about 6 million visitors, the <em>2022 Oktoberfest</em> in Germany has been one of the largest in-person social events following the COVID-19 pandemic. Despite high vaccination rates in Germany at that time, health authorities pointed out the high risk of getting infected at such events. Using a unique dataset, we estimate the causal impact of the <em>Oktoberfest</em> on the spread of infection by applying an event study design. Our results imply a significant increase in the infection rates during and after <em>Oktoberfest</em>, especially in the age cohorts 15–34 and 35–59. However, the case rate drops relatively quickly after <em>Oktoberfest</em>. We also find little to no effect of the fair on the infection rates of the remaining age cohorts below 15 and above 60 years of age. A robustness check using the hospitalization rate as dependent variable confirms those results. Our findings have important implications for regulations of large social events in times of COVID-19, when the share of vaccinated people in the population is already high.</div></div>\",\"PeriodicalId\":55067,\"journal\":{\"name\":\"Health Policy\",\"volume\":\"157 \",\"pages\":\"Article 105332\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Policy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168851025000880\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Policy","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168851025000880","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Munich goes viral: Measuring the impact of the Oktoberfest on COVID-19 infection rates using difference-in-differences
With about 6 million visitors, the 2022 Oktoberfest in Germany has been one of the largest in-person social events following the COVID-19 pandemic. Despite high vaccination rates in Germany at that time, health authorities pointed out the high risk of getting infected at such events. Using a unique dataset, we estimate the causal impact of the Oktoberfest on the spread of infection by applying an event study design. Our results imply a significant increase in the infection rates during and after Oktoberfest, especially in the age cohorts 15–34 and 35–59. However, the case rate drops relatively quickly after Oktoberfest. We also find little to no effect of the fair on the infection rates of the remaining age cohorts below 15 and above 60 years of age. A robustness check using the hospitalization rate as dependent variable confirms those results. Our findings have important implications for regulations of large social events in times of COVID-19, when the share of vaccinated people in the population is already high.
期刊介绍:
Health Policy is intended to be a vehicle for the exploration and discussion of health policy and health system issues and is aimed in particular at enhancing communication between health policy and system researchers, legislators, decision-makers and professionals concerned with developing, implementing, and analysing health policy, health systems and health care reforms, primarily in high-income countries outside the U.S.A.