Pigott David M, Bhatt Samir, Golding Nick, Duda Kirsten A, Battle Katherine E, Brady Oliver J, Messina Jane P, Balard Yves, Bastien Patrick, Pratlong Francine, Brownstein John S, Freifeld Clark C, Mekaru Sumiko R, Gething Peter W, George Dylan B, Myers Monica F, Reithinger Richard, Hay Simon I
Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom.
Laboratoire de Parasitologie-Mycologie, UFR Médecine, Université Montpellier 1 and UMR 'MiVEGEC', CNRS 5290/IRD 224, Montpellier, France.
Elife. 2014 Jun 27;3:e02851. doi: 10.7554/eLife.02851.
The leishmaniases are vector-borne diseases that have a broad global distribution throughout much of the Americas, Africa, and Asia. Despite representing a significant public health burden, our understanding of the global distribution of the leishmaniases remains vague, reliant upon expert opinion and limited to poor spatial resolution. A global assessment of the consensus of evidence for leishmaniasis was performed at a sub-national level by aggregating information from a variety of sources. A database of records of cutaneous and visceral leishmaniasis occurrence was compiled from published literature, online reports, strain archives, and GenBank accessions. These, with a suite of biologically relevant environmental covariates, were used in a boosted regression tree modelling framework to generate global environmental risk maps for the leishmaniases. These high-resolution evidence-based maps can help direct future surveillance activities, identify areas to target for disease control and inform future burden estimation efforts.
利什曼病是由媒介传播的疾病,在美洲、非洲和亚洲的大部分地区广泛分布于全球。尽管利什曼病构成了重大的公共卫生负担,但我们对其全球分布的了解仍然模糊,依赖专家意见且空间分辨率较低。通过汇总来自各种来源的信息,在国家以下层面进行了一次关于利什曼病证据共识的全球评估。从已发表的文献、在线报告、菌株档案和基因库登录号中汇编了皮肤利什曼病和内脏利什曼病发病记录的数据库。这些数据与一系列具有生物学相关性的环境协变量一起,被用于增强回归树建模框架中,以生成利什曼病的全球环境风险地图。这些基于高分辨率证据的地图有助于指导未来的监测活动,确定疾病控制的目标区域,并为未来的负担估计工作提供信息。