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一个关于非洲热带地区部分疟蚊传播媒介的动态模型。I. 模型描述和敏感性分析。

A dynamic model of some malaria-transmitting anopheline mosquitoes of the Afrotropical region. I. Model description and sensitivity analysis.

机构信息

Centre for International Health, University of Bergen, Bergen, Norway.

出版信息

Malar J. 2013 Jan 23;12:28. doi: 10.1186/1475-2875-12-28.

Abstract

BACKGROUND

Most of the current biophysical models designed to address the large-scale distribution of malaria assume that transmission of the disease is independent of the vector involved. Another common assumption in these type of model is that the mortality rate of mosquitoes is constant over their life span and that their dispersion is negligible. Mosquito models are important in the prediction of malaria and hence there is a need for a realistic representation of the vectors involved.

RESULTS

We construct a biophysical model including two competing species, Anopheles gambiae s.s. and Anopheles arabiensis. Sensitivity analysis highlight the importance of relative humidity and mosquito size, the initial conditions and dispersion, and a rarely used parameter, the probability of finding blood. We also show that the assumption of exponential mortality of adult mosquitoes does not match the observed data, and suggest that an age dimension can overcome this problem.

CONCLUSIONS

This study highlights some of the assumptions commonly used when constructing mosquito-malaria models and presents a realistic model of An. gambiae s.s. and An. arabiensis and their interaction. This new mosquito model, OMaWa, can improve our understanding of the dynamics of these vectors, which in turn can be used to understand the dynamics of malaria.

摘要

背景

目前大多数旨在解决疟疾大规模分布的生物物理模型都假设疾病的传播与所涉及的媒介无关。这类模型的另一个常见假设是,蚊子的死亡率在其寿命内保持不变,且其扩散可以忽略不计。蚊子模型在疟疾预测中非常重要,因此需要对所涉及的媒介进行现实的表示。

结果

我们构建了一个包含两个竞争物种(冈比亚按蚊 s.s.和阿拉伯按蚊)的生物物理模型。敏感性分析强调了相对湿度和蚊子大小、初始条件和扩散以及一个很少使用的参数(找到血液的概率)的重要性。我们还表明,假设成蚊的死亡率呈指数增长与观察到的数据不匹配,并表明年龄维度可以克服这个问题。

结论

本研究强调了构建蚊子-疟疾模型时常用的一些假设,并提出了冈比亚按蚊 s.s.和阿拉伯按蚊及其相互作用的现实模型。这个新的蚊子模型 OMaWa 可以提高我们对这些媒介动态的理解,进而可以用于理解疟疾的动态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69a2/3664083/486131774fca/1475-2875-12-28-1.jpg

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