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应用概率加权潜伏期分布对传统的风向玫瑰图方法进行改进,以提高军团病暴发公共卫生调查的效果。

Applying probability-weighted incubation period distributions to traditional wind rose methodology to improve public health investigations of Legionnaires' disease outbreaks.

机构信息

Public Health England, Manor Farm Road, Porton Down, Salisbury, SP4 0JG, UK.

出版信息

Epidemiol Infect. 2020 Feb 19;148:e33. doi: 10.1017/S0950268820000230.

DOI:10.1017/S0950268820000230
PMID:32070446
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7058647/
Abstract

In the event of a Legionnaires' disease outbreak, rapid location and control of the source of bacteria are crucial for outbreak management and regulation. In this paper, we describe an enhancement of the traditional wind rose for epidemiological use; shifting the focus of measurement from relative frequency of the winds speeds and directions to the relative volume of air carried, whilst also incorporating probability distributions of disease incubation periods to refine identification of the important wind directions during a cases window of exposure, i.e. from which direction contaminated aerosols most likely originated. The probability-weighted wind rose offers a potential improvement over the traditional wind rose by weighting the importance of wind measurements through incorporation of probability of exposure given an individual's time of symptom onset (obtained through knowledge of the incubation period), and by instead focusing on the volume of carrying air which offers better insight into the most probable direction of the source. This then provides a probabilistic distribution of which direction the wind was blowing around the time of infection. We discuss how the probability-weighted wind rose can be implemented during a Legionnaires' disease outbreak, and how outbreak control teams might use it as supportive evidence to identify the most likely direction of the contaminated source from the presumed site of exposure. In addition, this paper discusses how minor adjustments can be made to the method allowing the probability-weighted wind rose to be applied to other non-communicable airborne diseases, providing the disease's probability distribution for the incubation period distribution is well known.

摘要

在军团病爆发的情况下,快速定位和控制细菌源对于疫情管理和控制至关重要。在本文中,我们描述了一种传统风向玫瑰图的增强方法;将测量重点从风速和风向的相对频率转移到携带的空气相对体积上,同时还纳入了疾病潜伏期的概率分布,以细化在病例暴露窗口期间识别重要风向的过程,即污染气溶胶最有可能源自哪个方向。概率加权风向玫瑰图通过将暴露概率与个体症状发作时间(通过潜伏期知识获得)相关联,对风测量的重要性进行加权,而不是关注携带空气的体积,从而为识别源的最可能方向提供了更好的洞察力,因此优于传统风向玫瑰图。这为感染发生时风向的概率分布提供了依据。我们讨论了如何在军团病爆发期间实施概率加权风向玫瑰图,以及疫情控制团队如何将其作为辅助证据,从假定的暴露地点识别污染源的最可能方向。此外,本文还讨论了如何对该方法进行微小调整,以便将概率加权风向玫瑰图应用于其他非传染性空气传播疾病,前提是已知该疾病的潜伏期分布概率分布。

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