Carpenter Connie, Sattenspiel Lisa
Department of Anthropology, University of Missouri, Columbia, MO 65211, USA.
Am J Hum Biol. 2009 May-Jun;21(3):290-300. doi: 10.1002/ajhb.20857.
Agent-based modeling provides a new approach to the study of virgin soil epidemics like the 1918 flu. In this bottom-up simulation approach, a landscape can be created and populated with a heterogeneous group of agents who move and interact in ways that more closely resemble human behavior than is usually seen in other modeling techniques. In this project, an agent-based model was constructed to simulate the spread of the 1918 influenza pandemic through the Norway House community in Manitoba, Canada. Archival, ethnographic, epidemiological, and biological information were used to aid in designing the structure of the model and to estimate values for model parameters. During the epidemic, Norway House was a Hudson's Bay Company post and a Swampy Cree-Métis settlement with an economy based on hunting, fishing, and the fur trade. The community followed a traditional, seasonal travel pattern of summer aggregation and winter dispersal. The model was used to examine how seasonal community structures and associated population movement patterns may have influenced disease transmission and epidemic spread. Simulations of the model clearly demonstrate that human behavior can significantly influence epidemic outcomes.
基于主体的建模为研究像1918年流感这样的处女地流行病提供了一种新方法。在这种自下而上的模拟方法中,可以创建一个景观,并在其中填充一组异质主体,这些主体的移动和互动方式比其他建模技术中常见的方式更接近人类行为。在这个项目中,构建了一个基于主体的模型来模拟1918年流感大流行在加拿大曼尼托巴省挪威屋社区的传播。利用档案、人种学、流行病学和生物学信息来帮助设计模型结构并估计模型参数值。在疫情期间,挪威屋是哈德逊湾公司的一个贸易站,也是一个以狩猎、捕鱼和皮毛贸易为经济基础的沼泽克里 - 梅蒂斯定居点。该社区遵循夏季聚集、冬季分散的传统季节性出行模式。该模型用于研究季节性社区结构和相关的人口流动模式可能如何影响疾病传播和疫情蔓延。模型模拟清楚地表明,人类行为会显著影响疫情结果。