作为游戏化的公共卫生干预工具的COVID-19活动风险计算器
Shreyasvi Natraj1, Malhar Bhide2, Nathan Yap2
1Department of Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland. shreyasvi.natraj@unige.ch.
Scientific reports
|August 11, 2023
概括
一个名为CovARC的新工具有助于估计日常活动中的COVID-19风险. 这种游戏化干预有助于做出明智的决策,有可能减少SARS-CoV-2的社区传播.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 由SARS-CoV-2引起的COVID-19大流行病导致全球数百万人死亡.
- 现有的COVID-19风险工具由于传播水平和变种等因素的变化,显示出不同的有效性.
- 关于个人防护策略,如戴口罩和接种疫苗等,公众存在混乱.
研究的目的:
- 开发一个用户友好的工具,CovARC,用于估计COVID-19大流行期间日常活动相关的个人风险.
- 创建一个游戏化的公共卫生干预,允许用户探索风险因素.
- 展示一个可扩展和准确的COVID-19风险计算系统.
主要方法:
- 开发了COVID-19活动风险计算器 (CovARC).
- 使用游戏化方法,让用户与风险因素接触.
- 展示一个精简和准确的风险计算系统.
主要成果:
- CovARC提供了一种简单,易于使用的方法,用于在日常活动中估计个人COVID-19风险.
- 该研究量化了接种疫苗和戴口罩对降低风险的影响.
- 该系统被证明是可扩展和准确的.
结论:
- 将数据驱动的风险信息赋予公众权力,可以帮助减少社区COVID-19传播.
- 保护措施如口罩和疫苗的定量影响得到了验证.
- 调查结果可以为有关干预和任务的公共卫生政策决策提供信息.
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