在大流行期间大规模集会的成本
Ludovic Phalippou1, Dayin Zhang2
1Said Business School, University of Oxford, Park End Street, Oxford, OX1 1HP, UK.
SSM - population health
|July 13, 2023
概括
2020年6月美国的大规模抗议活动与COVID-19病例的增加有关. 受天气影响的示威活动出席率更高,导致病毒传播和死亡人数更多.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 社会学 社会学 社会学
背景情况:
- 2020年6月,美国的COVID-19病例大幅增加.
- 这一激增恰逢美国历史上最大规模的大规模抗议活动.
研究的目的:
- 调查大规模示威和COVID-19传播之间的关系.
- 量化大规模聚会对大流行病结果的影响.
主要方法:
- 利用降雨量的变化作为抗议出席率的工具变量.
- 采用统计分析来控制影响病例率的其他因素.
主要成果:
- 有更多抗议活动的地区,COVID-19病例的增加更高,其他因素保持不变.
- 有利的天气,导致抗议人数增加,与随后更多的COVID-19病例和死亡有关.
结论:
- 在COVID-19大流行期间的大规模集会对病毒的感染和死亡作出了重大贡献.
- 示威活动可能会加剧公共卫生危机.
更多相关视频
07:13Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
Published on: April 9, 2021
4.3K
06:16Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
458
相关概念视频
Deindividuation
26.4K
Deindividuation is a form of social influence on an individual’s behavior such that the individual engages in unusual or non-normal behavior while in a group setting. Why? Because in these group settings, the individual no longer sees themselves as an individual anymore, disinhibiting their behavior and personal restraint.
26.4K
Vaccinations
44.8K
Overview
44.8K
Steps in Outbreak Investigation
153
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
153
Social Facilitation
32.0K
Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
32.0K
Causality in Epidemiology
486
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
486
Pareto Chart
6.8K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
6.8K
