Modelling a Predictable Disaster:

I.M. Hastings , U. D’Alessandro
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引用次数: 173

Abstract

The evolution of drug-resistant malaria is one of the most important factors thwarting the development of effective malaria disease control. Several mathematical models have been developed to try and understand the dynamics of this process and how it can be slowed or even avoided. Much of the mathematics describing the evolution of drug resistance in malaria focuses on the derivation and mechanics of the calculations, which can make it inaccessible to experimentalists and field workers. In this article, Ian Hastings and Umberto D’Alessandro describe general model results without recourse to mathematical details, identify the factors that should be considered in the design of drug control programmes, and discuss the crucial parameters that remain unknown and need to be measured in the field or laboratory.

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模拟可预测的灾难:
耐药疟疾的演变是阻碍疟疾疾病有效控制发展的最重要因素之一。一些数学模型已经被开发出来,试图理解这一过程的动力学,以及如何减缓甚至避免这一过程。描述疟疾耐药性演变的许多数学集中在计算的推导和机制上,这可能使实验人员和现场工作人员无法获得。在这篇文章中,Ian Hastings和Umberto D 'Alessandro描述了一般的模型结果,没有诉诸数学细节,确定了在药物控制规划设计中应该考虑的因素,并讨论了仍然未知的关键参数,需要在现场或实验室进行测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Websites of interest Neosporosis. Seeking new targets for antiparasitic agents Response from A. Serero et al. Parasitology nomenclature – a recommendation Implications for neonatal HIV/AIDS and TB of sensitization in utero to helminths
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