13 research outputs found

    Association of National Football League Fan Attendance With County-Level COVID-19 Incidence in the 2020-2021 Season

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    Importance The 2020-2021 National Football League (NFL) season had some games with fans and others without. Thus, the exposed group (ie, games with fans) and the unexposed group (games without fans) could be examined to better understand the association between fan attendance and local incidence of COVID-19. Objective To assess whether NFL football games with varying degrees of in-person attendance were associated with increased COVID-19 cases in the counties where the games were held, as well as in contiguous counties, compared with games without in-person attendance for 7-, 14-, and 21-day follow-ups. Design, Setting, and Participants This cross-sectional study used data for all 32 NFL teams across the entirety of the 2020-2021 season. Separate daily time-series of COVID-19 total cases and case rates were generated using 7-, 14-, and 21-day simple moving averages for every team and were plotted against the actuals to detect potential spikes (outliers) in incidence levels following games for the county in which games took place, contiguous counties, and a combination. Outliers flagged in the period following games were recorded. Poisson exact tests were evaluated for differences in spike incidence as well across games with different rates of attendance. The data were analyzed between February 2021 and March 2021. Exposures Games with fan attendance vs games with no fan attendance, as well as the number of fans in attendance for games with fans. Main Outcomes and Measures The main outcome was estimation of COVID-19 cases and rates at the county and contiguous county level at 7-, 14-, and 21-day intervals for in-person attended games and non–fan attended games, which was further investigated by stratifying by the number of persons in fan-attended games. Results This included a total of 269 NFL game dates. Of these games, 117 were assigned to an exposed group (fans attended), and the remaining 152 games comprised the unexposed group (unattended). Fan attendance ranged from 748 to 31 700 persons. Fan attendance was associated with episodic spikes in COVID-19 cases and rates in the 14-day window for the in-county (cases: rate ratio [RR], 1.36; 95% CI, 1.00-1.87), contiguous counties (cases: RR, 1.31; 95% CI, 1.00-1.72; rates: RR, 1.41; 95% CI, 1.13-1.76), and pooled counties groups (cases: RR, 1.34; 95% CI, 1.01-1.79; rates: RR, 1.72; 95% CI, 1.29-2.28) as well as for the 21-day window in-county (cases: RR, 1.49; 95% CI, 1.21-1.83; rates: RR, 1.50; 95% CI, 1.26-1.78), in contiguous counties(cases: RR, 1.37; 95% CI, 1.14-1.65; rates: RR, 1.45; 95% CI, 1.24-1.71), and pooled counties groups (cases: RR, 1.41; 95% CI, 1.11-1.79; rates: RR, 1.70; 95% CI, 1.35-2.15). Games with fewer than 5000 fans were not associated with any spikes, but in counties where teams had 20 000 fans in attendance, there were 2.23 times the rate of spikes in COVID-19 (95% CI, 1.53 to ∞). Conclusions and Relevance In this cross-sectional study of the presence of fans at NFL home games during the 2020-2021 season, results indicated that fan attendance was associated with increased levels of COVID-19 in the counties in which the venues are nested within, as well as in surrounding counties. The spikes in COVID-19 for crowds of over 20 000 people suggest that large events should be handled with extreme caution during public health event(s) where vaccines, on-site testing, and various countermeasures are not readily available to the public

    Educomunicação, Transformação Social e Desenvolvimento Sustentável

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    Esta publicação apresenta os principais trabalhos dos GTs do II Congresso Internacional de Comunicação e Educação nos temas Transformação social, com os artigos que abordam principalmente Educomunicação e/ou Mídia-Educação, no contexto de políticas de diversidade, inclusão e equidade; e, em Desenvolvimento Sustentável os artigos que abordam os avanços da relação comunicação/educação no contexto da educação ambiental e desenvolvimento sustentável

    sj-docx-1-cad-10.1177_00111287221122753 – Supplemental material for The Bully-Victim Overlap and Vaping Activity Among Adolescents

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    Supplemental material, sj-docx-1-cad-10.1177_00111287221122753 for The Bully-Victim Overlap and Vaping Activity Among Adolescents by Cashen M. Boccio and Wanda E. Leal in Crime & Delinquency</p

    The Role of Adolescent Victimization in Energy Drink Consumption: Monitoring the Future, 2010-2016.

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    Energy drinks have been linked to a number of deleterious health outcomes among youth. Even so, the underlying risk factors for energy drink consumption among youth are less frequently examined. The present study examines the link between adolescent victimization experiences (i.e., property and violent victimization) and energy drink consumption among a nationally representative sample of adolescents. We employed the seven most recent cohorts (2010–2016) from the Monitoring the Future (MTF) study. A multi-stage random sampling technique was used to acquire the U.S. sample. Youths reported the extent to which they consumed energy drinks. Additionally, three indicators of property victimization and four indicators of violent victimization were available in the data. The findings reveal a significant dose–response relationship between energy drink consumption and victimization. This relationship was especially pronounced among females. For instance, more than 52% of females with the highest count of various violent victimization experiences consumed energy drinks, which was three times the rate of females who had no previous violent victimization experiences. Practitioners who interact with adolescent victims may probe for energy drink usage in addition to other addictive substances such as alcohol, tobacco, and drugs. Additional scrutiny may also be in order in regulating the amount of caffeine and sugar allowed in these beverages

    Association of National Football League Fan Attendance With County-Level COVID-19 Incidence in the 2020-2021 Season

    No full text
    The 2020-2021 National Football League (NFL) season had some games with fans and others without. Thus, the exposed group (ie, games with fans) and the unexposed group (games without fans) could be examined to better understand the association between fan attendance and local incidence of COVID-19. To assess whether NFL football games with varying degrees of in-person attendance were associated with increased COVID-19 cases in the counties where the games were held, as well as in contiguous counties, compared with games without in-person attendance for 7-, 14-, and 21-day follow-ups. This cross-sectional study used data for all 32 NFL teams across the entirety of the 2020-2021 season. Separate daily time-series of COVID-19 total cases and case rates were generated using 7-, 14-, and 21-day simple moving averages for every team and were plotted against the actuals to detect potential spikes (outliers) in incidence levels following games for the county in which games took place, contiguous counties, and a combination. Outliers flagged in the period following games were recorded. Poisson exact tests were evaluated for differences in spike incidence as well across games with different rates of attendance. The data were analyzed between February 2021 and March 2021. Games with fan attendance vs games with no fan attendance, as well as the number of fans in attendance for games with fans. The main outcome was estimation of COVID-19 cases and rates at the county and contiguous county level at 7-, 14-, and 21-day intervals for in-person attended games and non-fan attended games, which was further investigated by stratifying by the number of persons in fan-attended games. This included a total of 269 NFL game dates. Of these games, 117 were assigned to an exposed group (fans attended), and the remaining 152 games comprised the unexposed group (unattended). Fan attendance ranged from 748 to 31 700 persons. Fan attendance was associated with episodic spikes in COVID-19 cases and rates in the 14-day window for the in-county (cases: rate ratio [RR], 1.36; 95% CI, 1.00-1.87), contiguous counties (cases: RR, 1.31; 95% CI, 1.00-1.72; rates: RR, 1.41; 95% CI, 1.13-1.76), and pooled counties groups (cases: RR, 1.34; 95% CI, 1.01-1.79; rates: RR, 1.72; 95% CI, 1.29-2.28) as well as for the 21-day window in-county (cases: RR, 1.49; 95% CI, 1.21-1.83; rates: RR, 1.50; 95% CI, 1.26-1.78), in contiguous counties(cases: RR, 1.37; 95% CI, 1.14-1.65; rates: RR, 1.45; 95% CI, 1.24-1.71), and pooled counties groups (cases: RR, 1.41; 95% CI, 1.11-1.79; rates: RR, 1.70; 95% CI, 1.35-2.15). Games with fewer than 5000 fans were not associated with any spikes, but in counties where teams had 20 000 fans in attendance, there were 2.23 times the rate of spikes in COVID-19 (95% CI, 1.53 to ∞). In this cross-sectional study of the presence of fans at NFL home games during the 2020-2021 season, results indicated that fan attendance was associated with increased levels of COVID-19 in the counties in which the venues are nested within, as well as in surrounding counties. The spikes in COVID-19 for crowds of over 20 000 people suggest that large events should be handled with extreme caution during public health event(s) where vaccines, on-site testing, and various countermeasures are not readily available to the public

    Where, When, and By Whom: An Exploratory Analysis of COVID-19 Public Health Violations

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    COVID-19 health restrictions not only affected crime rates but also created a new and temporary type of crime, COVID-19 public health violations. Unfortunately, this new crime type has not yet been empirically scrutinized. The current study is the first to explore these COVID-19 public health violations by using a dataset created by the City of San Antonio which documents all calls and inspections about COVID-19 public health violations. Specifically, this study investigates the location types (where) that produce the greatest number of calls/inspections, warnings, and citations for COVID-19 public health violations; how they trended over time (when); and which agencies responded to and enforced them (who). The results indicate that there were differences across location type, variation throughout the observation period, and violations were enforced by several agencies. It is crucial to document the effect of COVID-19-related policies so that we may be better prepared for the future
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