企业流行病学建模
Modeling Corporate Epidemiology
摘要：
企业对疾病的反应目前是一个临时的、主观的过程，几乎没有关于疾病如何在工作场所传播的数据基础。此外，许多研究表明，生产力不是一个个人因素，而是一个社会因素：在任何关于流行病对策的研究中，都必须考虑到这一社会因素。解决这一问题的障碍是缺乏关于人们在工作场所的互动和流动模式的数据。我们已经创建了一个可穿戴的社会测量徽章，使用红外（IR）收发器和使用无线电发射器的接近感测个人之间的互动。使用来自社会计量学徽章的数据，我们能够模拟疾病通过面对面的互动与现实的流行病学参数传播。在本文中，我们构建了一个曲线权衡生产力与流行病的潜力。我们能够考虑到社会因素对生产力的影响，例如互动多样性和密度，这是采取个体方法的研究所忽视的。我们还提出了新的组织对疾病的反应，考虑到与更致命的疾病传播相关的行为模式。这是有利的，因为它将允许公司根据疾病爆发的组织背景决定适当的反应。
英文摘要：
Corporate responses to illness is currently an ad-hoc, subjective process that has little basis in data on how disease actually spreads at the workplace. Additionally, many studies have shown that productivity is not an individual factor but a social one: in any study on epidemic responses this social factor has to be taken into account. The barrier to addressing this problem has been the lack of data on the interaction and mobility patterns of people in the workplace. We have created a wearable Sociometric Badge that senses interactions between individuals using an infra-red (IR) transceiver and proximity using a radio transmitter. Using the data from the Sociometric Badges, we are able to simulate diseases spreading through face-to-face interactions with realistic epidemiological parameters. In this paper we construct a curve trading off productivity with epidemic potential. We are able to take into account impacts on productivity that arise from social factors, such as interaction diversity and density, which studies that take an individual approach ignore. We also propose new organizational responses to diseases that take into account behavioral patterns that are associated with a more virulent disease spread. This is advantageous because it will allow companies to decide appropriate responses based on the organizational context of a disease outbreak.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
