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. 2024 Jun 27:8:100523.
doi: 10.1016/j.puhip.2024.100523. eCollection 2024 Dec.

Impact of a large-scale event on SARS-CoV-2 cases and hospitalizations in the Netherlands, carnival seasons 2022 and 2023

Koen M F Gorgels  1   2 , Nicole H T M Dukers-Muijrers  1   3 , Ymke J Evers  1   2 , Volker H Hackert  1 , Paul H M Savelkoul  4 , Christian J P A Hoebe  1   2   4
Affiliations

Impact of a large-scale event on SARS-CoV-2 cases and hospitalizations in the Netherlands, carnival seasons 2022 and 2023

Koen M F Gorgels et al. Public Health Pract (Oxf). .

Abstract

Objectives: The COVID-19 pandemic highlights the importance of understanding facilitators for disease transmission. Events such as Carnival, characterized by large gatherings and extensive social interactions, have the potential to become 'super spreading events' for respiratory infections. This paper aims to assess the impact of large gatherings on virus transmission, providing crucial insights for the development of effective public health strategies.

Study design: An ecological study was performed.

Methods: The age-standardized number of COVID-19 cases reported in 2022, stratified by age (under 60 and 60+ years) was compared countrywide for Dutch provinces where Carnival was celebrated versus those where it was not. Additionally, we compared standardized hospitalization rates in 2022 and 2023 for both areas.

Results: Countrywide, 2,278,431 COVID-19 cases were reported between 06-02-2022 and 10-04-2022. Daily incidence increased after Carnival, peaking at 803 per 100,000 inhabitants for under 60s in carnival provinces and 368 in non-carnival provinces. For individuals 60+ daily incidence peaked at 396 in carnival provinces and 247 in non-carnival provinces. Over the 10 weeks following the start of Carnival, the carnival provinces demonstrated a 15 % (2022) 17 % (2023) higher hospitalization rate compared to non-carnival provinces.

Conclusions: The peak in cases and hospitalizations in regions actively celebrating Carnival compared to the rest of the Netherlands qualifies Carnival as a 'super-spreading' event. Our findings underscore the elevated risk of respiratory infections associated with large gatherings, advocating guided policies, including transparent risk communication and healthcare preparedness.

Keywords: COVID-19; Carnival; Hospitalizations; Population immunity; Preventive measures; Vaccination.

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Conflict of interest statement

None reported.

Figures

Fig. 1
Fig. 1
COVID-19 cases per age group.
Fig. 2
Fig. 2
Hospital admissions following carnival 2022.
Fig. 3
Fig. 3
Hospital admissions following carnival 2023.
See this image and copyright information in PMC

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References

    1. Li Q., Guan X., Wu P., et al. Early transmission dynamics in Wuhan, China, of novel coronavirus–Infected Pneumonia. N. Engl. J. Med. 2020;382(13) doi: 10.1056/nejmoa2001316. - DOI - PMC - PubMed
    1. Althouse B.M., Wenger E.A., Miller J.C., et al. Superspreading events in the transmission dynamics of SARS-CoV-2: opportunities for interventions and control. PLoS Biol. 2020;18(11) doi: 10.1371/journal.pbio.3000897. - DOI - PMC - PubMed
    1. Ebrahim S.H., Memish Z.A. COVID-19 – the role of mass gatherings. Trav. Med. Infect. Dis. 2020;34 doi: 10.1016/j.tmaid.2020.101617. - DOI - PMC - PubMed
    1. Goyal A., Reeves D.B., Schiffer J.T. Multi-scale modelling reveals that early super-spreader events are a likely contributor to novel variant predominance. J. R. Soc. Interface. 2022;19(189) doi: 10.1098/rsif.2021.0811. - DOI - PMC - PubMed
    1. Shi P., Keskinocak P., Swann J.L., Lee B.Y. The impact of mass gatherings and holiday traveling on the course of an influenza pandemic: a computational model. BMC Publ. Health. 2010;10 doi: 10.1186/1471-2458-10-778. - DOI - PMC - PubMed

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