Background: This aggregated population study investigated the impact of the seemingly quasi-randomly assigned school winter holiday in weeks 6-10 (February to early March) on excess mortality in 219 European regions (11 countries) during the COVID-19 pandemic in the spring 2020. A secondary aim was to evaluate the impact of government responses to the early inflow of infected cases.
Methods: Data on government responses weeks 8-14 were obtained from the Oxford COVID-19 Government Response Tracker. Regional data on total all-cause mortality during weeks 14-23 in 2020 were retrieved from Eurostat and national statistical agencies and compared with the average mortality during same period 2015-2019. Variance-weighted least square regression was used with mortality difference as dependent variable with adjustment for country, population density and age distribution.
Results: Being a region with winter holiday exclusively in week 9 was in the adjusted analysis associated with 16 weekly excess deaths [95% confidence interval (CI) 13-20] per million inhabitants during weeks 14-23, which corresponds to 38% of the excess mortality in these regions. A more stringent response implemented in week 11, corresponding to 10 additional units on the 0-100 ordinal scale, was associated with 20 fewer weekly deaths (95% CI 18-22) per million inhabitants.
Conclusions: Winter holiday in week 9 was an amplifying event that contributed importantly to the excess mortality observed in the study regions during the spring 2020. Timely government responses to the resulting early inflow of cases reduced the excess in mortality.
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http://dx.doi.org/10.1093/eurpub/ckab017 | DOI Listing |
JMIR Form Res
December 2024
REACH Lab, Department of Pediatrics, Division of Adolescent Medicine, Stanford University, Palo Alto, CA, United States.
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View Article and Find Full Text PDFEnviron Res
December 2024
School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, 14210, Mongolia. Electronic address:
J Sleep Res
January 2025
Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Seasonality of excessive daytime sleepiness has been proposed, yet no research has specifically investigated its impact on daytime sleepiness and cataplexy in central disorders of hypersomnolence. This study examined seasonal variations in daytime sleepiness and cataplexy in narcolepsy type 1, narcolepsy type 2 and idiopathic hypersomnia. Patients included in the study were on stable pharmacological treatment, and participated in sleep medicine interviews to assess diurnal sleepiness and daytime napping and completed the Epworth Sleepiness Scale to assess excessive daytime sleepiness (Epworth Sleepiness Scale ≥ 10).
View Article and Find Full Text PDFAm J Epidemiol
December 2024
Instituto Tecnológico Autónomo de México.
This study examines the impact of temporary school closures on influenza transmission and respiratory mortality, leveraging a natural experiment from winter break timings in Polish schools. Using causal inference methods on 12 years of ILI (Influenza-Like Illness) data and two decades of respiratory death records, the analysis shows significant reductions in ILI incidence within four weeks post-closures in an average season: 75% among school-aged children, 55% in adults, 26% in pre-school children, and 31% in the elderly, compared to pre-vacation averages. Notably, a 7% decrease in respiratory mortality was observed among the elderly, highlighting school closures as an effective public health intervention for reducing influenza spread and mortality among high-risk groups.
View Article and Find Full Text PDFAccid Anal Prev
December 2024
Department of Civil and Environmental Engineering, Transportation Informatics Lab, Old Dominion University (ODU), 4635 Hampton Boulevard, Norfolk, VA 23529, USA. Electronic address:
The COVID-19 pandemic significantly impacted transportation safety, with an increase in risky driving behaviors observed during the initial lockdown period, leading to a higher likelihood of severe crashes. However, there is limited research on the post-pandemic effects on driving behaviors and safety. This study addresses this gap by analyzing open data from the state of Virginia to examine shifts in safety states from 2016 to 2024, covering the pre-, during-, and post-pandemic periods.
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