Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, United Kingdom.
Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Clin Infect Dis. 2018 Jul 2;67(2):295-302. doi: 10.1093/cid/ciy055.
Assessing the importance of targeting the chronic Plasmodium falciparum malaria reservoir is pivotal as the world moves toward malaria eradication. Through the lens of a mathematical model, we show how, for a given malaria prevalence, the relative infectivity of chronic individuals determines what intervention tools are predicted be the most effective. Crucially, in a large part of the parameter space where elimination is theoretically possible, it can be achieved solely through improved case management. However, there are a significant number of settings where malaria elimination requires not only good vector control but also a mass drug administration campaign. Quantifying the relative infectiousness of chronic malaria across a range of epidemiological settings would provide essential information for the design of effective malaria elimination strategies. Given the difficulties obtaining this information, we also provide a set of epidemiological metrics that can be used to guide policy in the absence of such data.
评估针对慢性疟原虫疟疾储存库的重要性至关重要,因为世界正在朝着消除疟疾的方向前进。通过数学模型的视角,我们展示了在给定的疟疾流行率下,慢性感染者的相对传染性决定了哪种干预工具被预测为最有效。至关重要的是,在理论上可以消除疟疾的大部分参数空间中,仅通过改善病例管理就可以实现这一目标。然而,在许多情况下,消除疟疾不仅需要良好的病媒控制,还需要开展大规模药物治疗运动。在一系列流行病学环境中量化慢性疟疾的相对传染性将为制定有效的疟疾消除策略提供重要信息。鉴于获得这些信息存在困难,我们还提供了一组流行病学指标,可以在没有这些数据的情况下指导政策制定。