Real Leslie A, Biek Roman
Department of Biology and the Center for Disease Ecology, Emory University, Atlanta, GA 30322, USA.
J R Soc Interface. 2007 Oct 22;4(16):935-48. doi: 10.1098/rsif.2007.1041.
Explicit spatial analysis of infectious disease processes recognizes that host-pathogen interactions occur in specific locations at specific times and that often the nature, direction, intensity and outcome of these interactions depend upon the particular location and identity of both host and pathogen. Spatial context and geographical landscape contribute to the probability of initial disease establishment, direction and velocity of disease spread, the genetic organization of resistance and susceptibility, and the design of appropriate control and management strategies. In this paper, we review the manner in which the physical organization of the landscape has been shown to influence the population dynamics and spatial genetic structure of host-pathogen interactions, and how we might incorporate landscape architecture into spatially explicit population models of the infectious disease process to increase our ability to predict patterns of disease occurrence and optimally design vaccination and control policies.
对传染病过程进行明确的空间分析认识到，宿主与病原体的相互作用在特定时间的特定地点发生，而且这些相互作用的性质、方向、强度和结果往往取决于宿主和病原体的特定位置及特性。空间背景和地理景观会影响疾病最初确立的可能性、疾病传播的方向和速度、抗性与易感性的遗传结构，以及适当控制和管理策略的设计。在本文中，我们回顾了景观的物理结构已被证明影响宿主 - 病原体相互作用的种群动态和空间遗传结构的方式，以及我们如何将景观设计纳入传染病过程的空间明确种群模型，以提高我们预测疾病发生模式并优化设计疫苗接种和控制政策的能力。
