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The Contagion Externality of a Superspreading Event: The Sturgis Motorcycle Rally and COVID-19

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  • Dhaval M. Dave
  • Andrew I. Friedson
  • Drew McNichols
  • Joseph J. Sabia

Abstract

Large in-person gatherings without social distancing and with individuals who have traveled outside the local area are classified as the “highest risk” for COVID-19 spread by the Centers for Disease Control and Prevention (CDC). Between August 7 and August 16, 2020, nearly 500,000 motorcycle enthusiasts converged on Sturgis, South Dakota for its annual motorcycle rally. Large crowds, coupled with minimal mask-wearing and social distancing by attendees, raised concerns that this event could serve as a COVID-19 “super-spreader.” This study is the first to explore the impact of this event on social distancing and the spread of COVID-19. First, using anonymized cell phone data from SafeGraph, Inc. we document that (i) smartphone pings from non-residents, and (ii) foot traffic at restaurants and bars, retail establishments, entertainment venues, hotels and campgrounds each rose substantially in the census block groups hosting Sturgis rally events. Stay-at-home behavior among local residents, as measured by median hours spent at home, fell. Second, using data from the Centers for Disease Control and Prevention (CDC) and a synthetic control approach, we show that by September 2, a month following the onset of the Rally, COVID-19 cases increased by approximately 6 to 7 cases per 1,000 population in its home county of Meade. Finally, difference-in-differences (dose response) estimates show that following the Sturgis event, counties that contributed the highest inflows of rally attendees experienced a 7.0 to 12.5 percent increase in COVID-19 cases relative to counties that did not contribute inflows. Descriptive evidence suggests these effects may be muted in states with stricter mitigation policies (i.e., restrictions on bar/restaurant openings, mask-wearing mandates). We conclude that the Sturgis Motorcycle Rally generated public health costs of as much as $12.2 billion.

Suggested Citation

  • Dhaval M. Dave & Andrew I. Friedson & Drew McNichols & Joseph J. Sabia, 2020. "The Contagion Externality of a Superspreading Event: The Sturgis Motorcycle Rally and COVID-19," NBER Working Papers 27813, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27813
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    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Distancing and Lockdown > Compliance

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    2. Jeffrey E. Harris, 2020. "Geospatial Analysis of the September 2020 Coronavirus Outbreak at the University of Wisconsin – Madison: Did a Cluster of Local Bars Play a Critical Role?," NBER Working Papers 28132, National Bureau of Economic Research, Inc.
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    4. Jeffrey E. Harris, 2021. "Los Angeles County SARS-CoV-2 Epidemic: Critical Role of Multi-generational Intra-household Transmission," Journal of Bioeconomics, Springer, vol. 23(1), pages 55-83, April.
    5. Jacek Rothert, 2021. "Optimal federal transfers during uncoordinated response to a pandemic," GRAPE Working Papers 58, GRAPE Group for Research in Applied Economics.
    6. Rothert, Jacek, 2021. "Strategic inefficiencies and federal redistribution during uncoordinated response to pandemic waves," European Journal of Political Economy, Elsevier, vol. 69(C).
    7. Ján Palguta & Levínský, René & Škoda, Samuel, 2021. "Do Elections Accelerate the COVID-19 Pandemic? Evidence from a Natural Experiment," GLO Discussion Paper Series 891, Global Labor Organization (GLO).
    8. Chad Cotti & Bryan Engelhardt & Joshua Foster & Erik Nesson & Paul Niekamp, 2021. "The relationship between in‐person voting and COVID‐19: Evidence from the Wisconsin primary," Contemporary Economic Policy, Western Economic Association International, vol. 39(4), pages 760-777, October.
    9. Chris Laszlo & David Cooperrider & Ron Fry, 2020. "Global Challenges as Opportunity to Transform Business for Good," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    10. Mangrum, Daniel & Niekamp, Paul, 2022. "JUE Insight: College student travel contributed to local COVID-19 spread," Journal of Urban Economics, Elsevier, vol. 127(C).
    11. Hartwell, Christopher A. & Devinney, Timothy, 2021. "Populism, political risk, and pandemics: The challenges of political leadership for business in a post-COVID world," Journal of World Business, Elsevier, vol. 56(4).
    12. Hiroaki Funahashi & Alexander Cardazzi & Nicholas Masafumi Watanabe, 2023. "Mass Gathering Sport Events and the Spread of Viral Respiratory Infection: Japanese Professional Baseball and Influenza," Journal of Sports Economics, , vol. 24(5), pages 551-578, June.
    13. Gómez, Juan-Pedro & Mironov, Maxim, 2021. "Using Soccer Games as an Instrument to Forecast the Spread of COVID-19 in Europe," Finance Research Letters, Elsevier, vol. 43(C).
    14. Martin Lange & Ole Monscheuer, 2022. "Spreading the disease: Protest in times of pandemics," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2664-2679, December.
    15. Bernardo García Bulle & Dennis Shen & Devavrat Shah & Anette E. Hosoi, 2022. "Public health implications of opening National Football League stadiums during the COVID-19 pandemic," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(14), pages 2114226119-, April.
    16. Fe, Hao & Sanfelice, Viviane, 2022. "How bad is crime for business? Evidence from consumer behavior," Journal of Urban Economics, Elsevier, vol. 129(C).
    17. Dave, Dhaval & Friedson, Andrew & Matsuzawa, Kyutaro & Sabia, Joseph J. & Safford, Samuel, 2022. "JUE Insight: Were urban cowboys enough to control COVID-19? Local shelter-in-place orders and coronavirus case growth," Journal of Urban Economics, Elsevier, vol. 127(C).
    18. Hiroaki Funahashi & Shintaro Sato & Takuya Furukawa, 2022. "COVID-19 and Attendance Demand for Professional Sport in Japan: A Multilevel Analysis of Repeated Cross-Sectional National Data during the Pandemic," IJERPH, MDPI, vol. 19(9), pages 1-10, April.

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    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I1 - Health, Education, and Welfare - - Health

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