Reiner Robert C, Le Menach Arnaud, Kunene Simon, Ntshalintshali Nyasatu, Hsiang Michelle S, Perkins T Alex, Greenhouse Bryan, Tatem Andrew J, Cohen Justin M, Smith David L
Fogarty International Center, National Institutes of Health, Bethesda, United States.
Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, United States.
Elife. 2015 Dec 29;4:e09520. doi: 10.7554/eLife.09520.
Eliminating malaria from a defined region involves draining the endemic parasite reservoir and minimizing local malaria transmission around imported malaria infections . In the last phases of malaria elimination, as universal interventions reap diminishing marginal returns, national resources must become increasingly devoted to identifying where residual transmission is occurring. The needs for accurate measures of progress and practical advice about how to allocate scarce resources require new analytical methods to quantify fine-grained heterogeneity in malaria risk. Using routine national surveillance data from Swaziland (a sub-Saharan country on the verge of elimination), we estimated individual reproductive numbers. Fine-grained maps of reproductive numbers and local malaria importation rates were combined to show 'malariogenic potential', a first for malaria elimination. As countries approach elimination, these individual-based measures of transmission risk provide meaningful metrics for planning programmatic responses and prioritizing areas where interventions will contribute most to malaria elimination.
在特定区域消除疟疾需要排干地方性寄生虫库,并尽量减少输入性疟疾感染周围的本地疟疾传播。在疟疾消除的最后阶段,由于普遍干预措施的边际收益递减,国家资源必须越来越多地用于确定残余传播发生的地点。准确衡量进展情况以及就如何分配稀缺资源提供实用建议的需求,要求采用新的分析方法来量化疟疾风险的细粒度异质性。利用来自斯威士兰(一个濒临消除疟疾的撒哈拉以南国家)的常规国家监测数据,我们估计了个体繁殖数。结合繁殖数的细粒度地图和当地疟疾输入率,展示了“疟疾发生潜力”,这在疟疾消除方面尚属首次。随着各国接近消除疟疾目标,这些基于个体的传播风险衡量指标为规划方案应对措施以及确定干预措施对疟疾消除贡献最大的地区提供了有意义的指标。