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高致病性禽流感(H5N1)病毒感染的剂量-反应时间建模。

Dose-response time modelling for highly pathogenic avian influenza A (H5N1) virus infection.

机构信息

Department of Soil, Water and Environmental Science, The University of Arizona, Tucson, AZ 85721, USA.

出版信息

Lett Appl Microbiol. 2011 Oct;53(4):438-44. doi: 10.1111/j.1472-765X.2011.03128.x. Epub 2011 Aug 25.

Abstract

AIMS

To develop time-dependent dose-response models for highly pathogenic avian influenza A (HPAI) of the H5N1 subtype virus.

METHODS AND RESULTS

A total of four candidate time-dependent dose-response models were fitted to four survival data sets for animals (mice or ferrets) exposed to graded doses of HPAI H5N1 virus using the maximum-likelihood estimation. A beta-Poisson dose-response model with the N(50) parameter modified by an exponential-inverse-power time dependency or an exponential dose-response model with the k parameter modified by an exponential-inverse time dependency provided a statistically adequate fit to the observed survival data.

CONCLUSIONS

We have successfully developed the time-dependent dose-response models to describe the mortality of animals exposed to an HPAI H5N1 virus. The developed model describes the mortality over time and represents observed experimental responses accurately.

SIGNIFICANCE AND IMPACT OF THE STUDY

This is the first study describing time-dependent dose-response models for HPAI H5N1 virus. The developed models will be a useful tool for estimating the mortality of HPAI H5N1 virus, which may depend on time postexposure, for the preparation of a future influenza pandemic caused by this lethal virus.

摘要

目的

开发高致病性禽流感(HPAI)H5N1 亚型病毒的时变剂量反应模型。

方法和结果

使用最大似然估计,将四个候选的时变剂量反应模型拟合到四个动物(小鼠或雪貂)暴露于不同剂量 HPAI H5N1 病毒的生存数据集中。N(50)参数通过指数倒数幂时间依赖性修正的β-泊松剂量反应模型或 k 参数通过指数倒数时间依赖性修正的指数剂量反应模型为观察到的生存数据提供了统计学上的充分拟合。

结论

我们成功地开发了时变剂量反应模型来描述暴露于高致病性禽流感 H5N1 病毒的动物的死亡率。所开发的模型描述了随时间的死亡率,并准确地代表了观察到的实验反应。

研究的意义和影响

这是第一项描述高致病性禽流感 H5N1 病毒的时变剂量反应模型的研究。所开发的模型将是一种有用的工具,可以估计由这种致命病毒引起的未来流感大流行期间,暴露后时间依赖的高致病性禽流感 H5N1 病毒的死亡率。

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