扩展COVID-19工作暴露矩阵:SARS-CoV-2或COVID-19工作暴露矩阵模块 (SCoVJEM模块) 用于基于人口的研究
Ximena P Vergara1,2, Kathryn Gibb2,3, David P Bui1,2
1Heluna Health, 3300 Crossroads Pkwy. N #450, City of Industry, CA 91746, USA.
概括
一个新的四维工作暴露矩阵 (JEM) 识别了工作场所的COVID-19气溶传播风险. 该工具强调了大噪声,体力活动和温度对职业SARS-CoV-2暴露的影响,特别是在拉丁裔和男性工人中.
科学领域:
- 职业健康 职业健康 职业健康
- 流行病学 流行病学
- 环境健康 环境健康
背景情况:
- 工作场所的SARS-CoV-2传播受到气溶,水滴,呼吸速率和寒冷环境中的病毒稳定性的影响.
- 鉴定SARS-CoV-2传播的特定职业风险仍然具有挑战性.
研究的目的:
- 扩展现有的SARS-CoV-2工作暴露矩阵 (JEM),包括大声说话,体力活动和环境温度 (冷/热) 的维度.
- 评估COVID-19风险因素的职业气溶传播代理.
主要方法:
- 使用职业信息网络 (O*NET) 的数据和先验问题开发了一个四维的JEM.
- 该 JEM 纳入了 535 个职业的噪声测量,并根据噪声,体力活动 (PA),寒冷和炎热的环境进行分类.
- 该JEM应用于加利福尼亚州2019年劳动力数据,分析了按种族/种族和性别的暴露.
主要成果:
- 超过70%的职业被归类为大声或非常大声.
- 13.8%的职业涉及高体力活动,18.5%在寒冷环境中,23.7%在炎热环境中.
- 拉丁裔工人显示在非常响亮和高PA的农业和建筑工作中具有很高的代表性. 在最高暴露水平中,男性比女性更有代表性.
结论:
- 开发的四维JEM为COVID-19风险提供了有价值的气溶传输代理.
- 该矩阵是调查职业SARS-CoV-2传播的流行病学研究的一个有希望的工具.
- 这些发现突显了不同人口群体在职业暴露风险中的差异.
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