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非典的模型参数与疫情控制

Model parameters and outbreak control for SARS.

作者信息

Chowell Gerardo, Castillo-Chavez Carlos, Fenimore Paul W, Kribs-Zaleta Christopher M, Arriola Leon, Hyman James M

机构信息

Los Alamos National Laboratory, New Mexico, USA.

出版信息

Emerg Infect Dis. 2004 Jul;10(7):1258-63. doi: 10.3201/eid1007.030647.

Abstract

Control of the 2002-2003 severe acute respiratory syndrome (SARS) outbreak was based on rapid diagnosis coupled with effective patient isolation. We used uncertainty and sensitivity analysis of the basic reproductive number R0 to assess the role that model parameters play in outbreak control. The transmission rate and isolation effectiveness have the largest fractional effect on R0. We estimated the distribution of the reproductive number R0 under perfect isolation conditions. The distribution lies in the interquartile range 0.19-1.08, with a median of 0.49. Even though the median of R0 is <1, we found that 25% of our R0 distribution lies at R0 > 1, even with perfect isolation. This implies the need to simultaneously apply more than one method of control.

摘要

2002 - 2003年严重急性呼吸综合征(SARS)疫情的控制基于快速诊断以及有效的患者隔离。我们使用基本再生数R0的不确定性和敏感性分析来评估模型参数在疫情控制中所起的作用。传播率和隔离效果对R0的分数效应最大。我们估计了在完美隔离条件下再生数R0的分布。该分布的四分位间距为0.19 - 1.08,中位数为0.49。尽管R0的中位数<1,但我们发现即使在完美隔离的情况下,我们的R0分布中有25%处于R0>1的情况。这意味着需要同时应用多种控制方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af4e/3323341/20dc0a5176e6/03-0647-F1.jpg

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