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估计隐蔽性炭疽菌释放的位置和空间范围。

Estimating the location and spatial extent of a covert anthrax release.

作者信息

Legrand Judith, Egan Joseph R, Hall Ian M, Cauchemez Simon, Leach Steve, Ferguson Neil M

机构信息

MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Diseases Epidemiology, Imperial College London, London, United Kingdom.

出版信息

PLoS Comput Biol. 2009 Jan;5(1):e1000356. doi: 10.1371/journal.pcbi.1000356. Epub 2009 Apr 10.

Abstract

Rapidly identifying the features of a covert release of an agent such as anthrax could help to inform the planning of public health mitigation strategies. Previous studies have sought to estimate the time and size of a bioterror attack based on the symptomatic onset dates of early cases. We extend the scope of these methods by proposing a method for characterizing the time, strength, and also the location of an aerosolized pathogen release. A back-calculation method is developed allowing the characterization of the release based on the data on the first few observed cases of the subsequent outbreak, meteorological data, population densities, and data on population travel patterns. We evaluate this method on small simulated anthrax outbreaks (about 25-35 cases) and show that it could date and localize a release after a few cases have been observed, although misspecifications of the spore dispersion model, or the within-host dynamics model, on which the method relies can bias the estimates. Our method could also provide an estimate of the outbreak's geographical extent and, as a consequence, could help to identify populations at risk and, therefore, requiring prophylactic treatment. Our analysis demonstrates that while estimates based on the first ten or 15 observed cases were more accurate and less sensitive to model misspecifications than those based on five cases, overall mortality is minimized by targeting prophylactic treatment early on the basis of estimates made using data on the first five cases. The method we propose could provide early estimates of the time, strength, and location of an aerosolized anthrax release and the geographical extent of the subsequent outbreak. In addition, estimates of release features could be used to parameterize more detailed models allowing the simulation of control strategies and intervention logistics.

摘要

快速识别炭疽等病原体隐蔽释放的特征,有助于为公共卫生缓解策略的规划提供信息。以往的研究试图根据早期病例的症状出现日期来估计生物恐怖袭击的时间和规模。我们扩展了这些方法的范围,提出了一种用于描述雾化病原体释放的时间、强度以及位置的方法。开发了一种反向计算方法,可根据后续疫情最初几例观察病例的数据、气象数据、人口密度以及人口流动模式数据来描述释放情况。我们在小型模拟炭疽疫情(约25 - 35例)上评估了该方法,结果表明,在观察到几例病例后,它可以确定释放的时间并进行定位,不过该方法所依赖的孢子扩散模型或宿主内动态模型的错误设定可能会使估计产生偏差。我们的方法还可以提供疫情地理范围的估计,从而有助于识别有风险的人群,进而确定需要进行预防性治疗的人群。我们的分析表明,虽然基于最初观察到的10例或15例病例的估计比基于5例病例的估计更准确,且对模型错误设定的敏感性更低,但基于最初5例病例数据进行的估计,尽早进行预防性治疗可使总体死亡率降至最低。我们提出的方法可以对雾化炭疽释放的时间、强度和位置以及后续疫情的地理范围进行早期估计。此外,释放特征的估计可用于为更详细的模型设定参数,以便模拟控制策略和干预后勤工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff02/2663800/afa5ebd77f75/pcbi.1000356.g001.jpg

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