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将数学和生物学结合起来控制内脏利什曼病。

Uniting mathematics and biology for control of visceral leishmaniasis.

机构信息

Warwick Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK; Warwick Infectious Disease Epidemiology Research (WIDER), University of Warwick, Coventry CV4 7AL, UK; School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK.

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, The Netherlands.

出版信息

Trends Parasitol. 2015 Jun;31(6):251-9. doi: 10.1016/j.pt.2015.03.007. Epub 2015 Apr 22.

Abstract

The neglected tropical disease (NTD) visceral leishmaniasis (VL) has been targeted by the WHO for elimination as a public health problem on the Indian subcontinent by 2017 or earlier. To date there is a surprising scarcity of mathematical models capable of capturing VL disease dynamics, which are widely considered central to planning and assessing the efficacy of interventions. The few models that have been developed are examined, highlighting the necessity for better data to parameterise and fit these and future models. In particular, the characterisation and infectiousness of the different disease stages will be crucial to elimination. Modelling can then assist in establishing whether, when, and how the WHO VL elimination targets can be met.

摘要

被忽视的热带病(NTD)内脏利什曼病(VL)已被世界卫生组织(WHO)确定为目标,以便在 2017 年或更早之前消除印度次大陆的公共卫生问题。迄今为止,能够捕捉 VL 疾病动态的数学模型数量惊人地稀缺,而这些模型被广泛认为是规划和评估干预措施效果的核心。本文研究了已开发的少数几种模型,强调了需要更好的数据来对这些模型和未来的模型进行参数化和拟合。特别是,不同疾病阶段的特征和传染性对于消除至关重要。建模然后可以帮助确定是否、何时以及如何实现世界卫生组织 VL 消除目标。

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