Perez-Saez Javier, Mari Lorenzo, Bertuzzo Enrico, Casagrandi Renato, Sokolow Susanne H, De Leo Giulio A, Mande Theophile, Ceperley Natalie, Froehlich Jean-Marc, Sou Mariam, Karambiri Harouna, Yacouba Hamma, Maiga Amadou, Gatto Marino, Rinaldo Andrea
Laboratory of Ecohydrology, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
PLoS Negl Trop Dis. 2015 Oct 29;9(10):e0004127. doi: 10.1371/journal.pntd.0004127. eCollection 2015.
We study the geography of schistosomiasis across Burkina Faso by means of a spatially explicit model of water-based disease dynamics. The model quantitatively addresses the geographic stratification of disease burden in a novel framework by explicitly accounting for drivers and controls of the disease, including spatial information on the distributions of population and infrastructure, jointly with a general description of human mobility and climatic/ecological drivers. Spatial patterns of disease are analysed by the extraction and the mapping of suitable eigenvectors of the Jacobian matrix subsuming the stability of the disease-free equilibrium. The relevance of the work lies in the novel mapping of disease burden, a byproduct of the parametrization induced by regional upscaling, by model-guided field validations and in the predictive scenarios allowed by exploiting the range of possible parameters and processes. Human mobility is found to be a primary control at regional scales both for pathogen invasion success and the overall distribution of disease burden. The effects of water resources development highlighted by systematic reviews are accounted for by the average distances of human settlements from water bodies that are habitats for the parasite's intermediate host. Our results confirm the empirical findings about the role of water resources development on disease spread into regions previously nearly disease-free also by inspection of empirical prevalence patterns. We conclude that while the model still needs refinements based on field and epidemiological evidence, the proposed framework provides a powerful tool for large-scale public health planning and schistosomiasis management.
我们借助一个基于水的疾病动态空间明确模型,研究布基纳法索血吸虫病的地理分布情况。该模型通过明确考虑疾病的驱动因素和控制因素,在一个新颖的框架中定量解决疾病负担的地理分层问题,这些因素包括人口和基础设施分布的空间信息,以及人类流动和气候/生态驱动因素的总体描述。通过提取和绘制包含无病平衡稳定性的雅可比矩阵的合适特征向量,来分析疾病的空间模式。这项工作的意义在于疾病负担的新颖映射,这是区域尺度放大引起的参数化的一个副产品,通过模型指导的实地验证以及利用可能的参数和过程范围所允许的预测情景。研究发现,在区域尺度上,人类流动对于病原体入侵的成功以及疾病负担的总体分布都是一个主要控制因素。系统评价所强调的水资源开发的影响,通过人类住区与作为寄生虫中间宿主栖息地的水体的平均距离来体现。我们的结果通过检查经验患病率模式,也证实了关于水资源开发在疾病传播到以前几乎无病地区中所起作用的实证研究结果。我们得出结论,虽然该模型仍需根据实地和流行病学证据进行完善,但所提出的框架为大规模公共卫生规划和血吸虫病管理提供了一个有力工具。