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Public holidays increased the transmission of COVID-19 in Japan, 2020-2021: a mathematical modelling study

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OBJECTIVES Although the role of specific holidays in modifying transmission dynamics of infectious diseases has received some research attention, the epidemiological impact of public holidays on the transmission of coronavirus disease 2019 (COVID-19) remains unclear. METHODS To assess the extent of increased transmission frequency during public holidays, we collected COVID-19 incidence and mobility data in Hokkaido, Tokyo, Aichi, and Osaka from February 15, 2020 to September 30, 2021. Models linking the estimated effective reproduction number (Rt) with raw or adjusted mobility, public holidays, and the state of emergency declaration were developed. The best-fit model included public holidays as an essential input variable, and was used to calculate counterfactuals of Rt in the absence of holidays. RESULTS During public holidays, on average, Rt increased by 5.71%, 3.19%, 4.84%, and 24.82% in Hokkaido, Tokyo, Aichi, and Osaka, respectively, resulting in a total increase of 580 (95% confidence interval [CI], 213 to 954), 2,209 (95% CI, 1,230 to 3,201), 1,086 (95% CI, 478 to 1,686), and 5,211 (95% CI, 4,554 to 5,867) cases that were attributable to the impact of public holidays. CONCLUSIONS Public holidays intensified the transmission of COVID-19, highlighting the importance of considering public holidays in designing appropriate public health and social measures in the future.

Abstract

OBJECTIVES Although the role of specific holidays in modifying transmission dynamics of infectious diseases has received some research attention, the epidemiological impact of public holidays on the transmission of coronavirus disease 2019 (COVID-19) remains unclear. METHODS To assess the extent of increased transmission frequency during public holidays, we collected COVID-19 incidence and mobility data in Hokkaido, Tokyo, Aichi, and Osaka from February 15, 2020 to September 30, 2021. Models linking the estimated effective reproduction number (Rt) with raw or adjusted mobility, public holidays, and the state of emergency declaration were developed. The best-fit model included public holidays as an essential input variable, and was used to calculate counterfactuals of Rt in the absence of holidays. RESULTS During public holidays, on average, Rt increased by 5.71%, 3.19%, 4.84%, and 24.82% in Hokkaido, Tokyo, Aichi, and Osaka, respectively, resulting in a total increase of 580 (95% confidence interval [CI], 213 to 954), 2,209 (95% CI, 1,230 to 3,201), 1,086 (95% CI, 478 to 1,686), and 5,211 (95% CI, 4,554 to 5,867) cases that were attributable to the impact of public holidays. CONCLUSIONS Public holidays intensified the transmission of COVID-19, highlighting the importance of considering public holidays in designing appropriate public health and social measures in the future.

참고문헌 (39)

  1. "Visualizing the data: information on COVID-19 infections" (2023)[URL]
  2. "Response to COVID-19 (novel coronavirus) after the classification change"[URL]
  3. "National holidays in Japan"[URL]
  4. Memish ZA, "Hajj : infectious disease surveillance and control", Lancet, 383, pp.2073~2082 (2014)[DOI]
  5. Pomeroy MA, "Decisions to attend holiday gatherings during COVID-19 and engagement in key prevention strategies : United States, January 2021", Epidemiol Infect, 150, pp.e32~ (2022)[DOI]
  6. Furuse Y, "COVID-19 case-clusters and transmission chains in the communities in Japan", J Infect, 84, pp.248~288 (2022)[DOI]
  7. Seresirikachorn K, "Investigating public behavior with artificial intelligence-assisted detection of face mask wearing during the COVID-19 pandemic", PLoS One, 18, pp.e0281841~ (2023)[DOI]
  8. Guglielmi G, "Coronavirus and public holidays : what the data say", Nature, 588, pp.549~ (2020)[DOI]
  9. Breza E, "Effects of a large-scale social media advertising campaign on holiday travel and COVID-19 infections : a cluster randomized controlled trial", Nat Med, 27, pp.1622~1628 (2021)[DOI]
  10. Anzai A, "Go To Travel campaign and the geographic spread of COVID-19 in Japan", BMC Infect Dis, 22, pp.808~ (2022)[DOI]
  11. Santamaría L, "COVID-19 effective reproduction number dropped during Spain’s nationwide dropdown, then spiked at lower-incidence regions", Sci Total Environ, 751, pp.142257~ (2021)[DOI]
  12. Casini L, "A cross-regional analysis of the COVID-19 spread during the 2020 Italian vacation period : results from three computational models are compared", Sensors(Basel), 20, pp.7319~ (2020)[DOI]
  13. Kurita K, "COVID-19, stigma, and habituation : evidence from mobility data", BMC Public Health, 23, pp.98~ (2023)[DOI]
  14. Edsberg Møllgaard P, "Understanding components of mobility during the COVID-19 pandemic", Philos Trans A Math Phys Eng Sci, 380, pp.20210118~ (2022)[DOI]
  15. Ko YK, "Impact of the Coming-of-Age Day and ceremony on the risk of SARS-CoV-2 transmission in Japan : a natural-experimental study based on national surveillance data", Influenza Other Respir Viruses, 16, pp.1026~1032 (2022)[DOI]
  16. Takahashi S, "Increase in people’s behavioural risks for contracting COVID-19 during the 2021 New Year holiday season : longitudinal survey of the general population in Japan", BMJ Open, 12, pp.e054770~ (2022)[DOI]
  17. Hirata A, "Did the Tokyo Olympic Games enhance the transmission of COVID-19? An interpretation with machine learning", Comput Biol Med, 146, pp.105548~ (2022)[DOI]
  18. Oiwake HY, "Factors associated with delayed diagnosis among patients with COVID-19 in Okinawa, Japan", Int J Environ Res Public Health, 19, pp.8634~ (2022)[DOI]
  19. Okada Y, "Protection against SARS-CoV-2 BA. 4 and BA. 5 subvariants via vaccination and natural infection : a modeling study", Math Biosci Eng, 20, pp.2530~2543 (2023)[DOI]
  20. Nishiura H, "Serial interval of novel coronavirus(COVID-19)infections", Int J Infect Dis, 93, pp.284~286 (2020)[DOI]
  21. Linton NM, "Correlation between times to SARS-CoV-2 symptom onset and secondary transmission undermines epidemic control efforts", Epidemics, 41, pp.100655~ (2022)[DOI]
  22. Jung SM, "Predicting the effective reproduction number of COVID-19 : inference using human mobility, temperature, and risk awareness", Int J Infect Dis, 113, pp.47~54 (2021)[DOI]
  23. Nagata S, "Mobility change and COVID-19 in Japan : mobile data analysis of locations of infection", J Epidemiol, 31, pp.387~391 (2021)[DOI]
  24. Nouvellet P, "Reduction in mobility and COVID-19 transmission", Nat Commun, 12, pp.1090~ (2021)[DOI]
  25. Nakanishi M, "On-site dining in Tokyo during the COVID-19 pandemic : time series analysis using mobile phone location data", JMIR Mhealth Uhealth, 9, pp.e27342~ (2021)[DOI]
  26. "COVID-19 Community Mobility Report. Community mobility report" (2022)[URL]
  27. Chang S, "Mobility network models of COVID-19 explain inequities and inform reopening", Nature, 589, pp.82~87 (2021)[DOI]
  28. Jung SM, "Projecting a second wave of COVID-19 in Japan with variable interventions in high-risk settings", R Soc Open Sci, 8, pp.202169~ (2021)[DOI]
  29. Ueno Y, "Human flow dataset reveals changes in citizens’ outing behaviors including greenspace visits before and during the first wave of the COVID-19 pandemic in Kanazawa, Japan", Int J Environ Res Public Health, 19, pp.8728~ (2022)[DOI]
  30. Klausner Z, "A single holiday was the turning point of the COVID-19 policy of Israel", Int J Infect Dis, 101, pp.368~373 (2020)[DOI]
  31. Ren B, "Modeling post-holiday surge in COVID-19 cases in Pennsylvania counties", PLoS One, 17, pp.e0279371~ (2022)[DOI]
  32. Tan S, "Mobility in China, 2020: a tale of four phases", Natl Sci Rev, 8, pp.nwab148~ (2021)[DOI]
  33. Ghaznavi C, "Inter-prefectural travel and network connectedness during the COVID-19 pandemic in Japan", J Epidemiol, 32, pp.510~518 (2022)[DOI]
  34. Chen S, "Buying time for an effective epidemic response : the impact of a public holiday for outbreak control on COVID-19 epidemic spread", Engineering(Beijing), 6, pp.1108~1114 (2020)[DOI]
  35. Haji-Maghsoudi S, "The impact of control measures and holiday seasons on incidence and mortality rate of COVID-19 in Iran", J Res Health Sci, 20, pp.e00500~ (2020)[DOI]
  36. Yang M, "COVID-19 and mobility in tourism cities : a statistical change-point detection approach", J Hosp Tour Manag, 47, pp.256~261 (2021)[DOI]
  37. Niwa M, "Effectiveness of social measures against COVID-19 outbreaks in selected Japanese regions analyzed by system dynamic modeling", Int J Environ Res Public Health, 17, pp.6238~ (2020)[DOI]
  38. Kato H, "Human mobility and infection from Covid-19 in the Osaka metropolitan area", NPJ Urban Sustain, 2, pp.20~ (2022)[DOI]
  39. Aragão DP, "National holidays and social mobility behaviors : alternatives for forecasting COVID-19 deaths in Brazil", Int J Environ Res Public Health, 18, pp.11595~ (2021)[DOI]

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