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模拟病媒控制对淋巴丝虫病防治项目的影响:当前方法与局限性

Modelling the Impact of Vector Control on Lymphatic Filariasis Programs: Current Approaches and Limitations.

作者信息

Davis E L, Prada J, Reimer L J, Hollingsworth T D

机构信息

Big Data Institute, University of Oxford, Oxford, UK.

University of Surrey, Guildford,UK.

出版信息

Clin Infect Dis. 2021 Jun 14;72(Suppl 3):S152-S157. doi: 10.1093/cid/ciab191.

Abstract

Vector control is widely considered an important tool for lymphatic filariasis (LF) elimination but is not usually included in program budgets and has often been secondary to other policy questions in modelling studies. Evidence from the field demonstrates that vector control can have a large impact on program outcomes and even halt transmission entirely, but implementation is expensive. Models of LF have the potential to inform where and when resources should be focused, but often simplify vector dynamics and focus on capturing human prevalence trends, making them comparatively ill-designed for direct analysis of vector control measures. We review the recent modelling literature and present additional results using a well-established model, highlighting areas of agreement between model predictions and field evidence, and discussing the possible determinants of existing disagreements. We conclude that there are likely to be long-term benefits of vector control, both on accelerating programs and preventing resurgence.

摘要

病媒控制被广泛认为是消除淋巴丝虫病(LF)的一项重要工具,但通常未被纳入项目预算,并且在建模研究中常常次于其他政策问题。实地证据表明,病媒控制可对项目成果产生重大影响,甚至能完全阻断传播,但实施成本高昂。淋巴丝虫病模型有潜力为资源应在何处以及何时集中提供信息,但这些模型往往简化病媒动态,专注于捕捉人群流行趋势,因此相对而言不太适合直接分析病媒控制措施。我们回顾了近期的建模文献,并使用一个成熟的模型展示了更多结果,突出模型预测与实地证据之间的一致领域,并讨论现有分歧的可能决定因素。我们得出结论,病媒控制可能会带来长期益处,无论是在加速项目进程还是预防疫情复发方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1365/8201547/7f694576dac1/ciab191f0001.jpg

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