Xiao Ningchuan, Cai Shanshan, Moritz Mark, Garabed Rebecca, Pomeroy Laura W
Department of Geography, The Ohio State University, Columbus, OH, United States of America.
Department of Geography, Nipissing University, North Bay, Ontario, Canada.
PLoS One. 2015 Jul 7;10(7):e0131697. doi: 10.1371/journal.pone.0131697. eCollection 2015.
Modeling the movements of humans and animals is critical to understanding the transmission of infectious diseases in complex social and ecological systems. In this paper, we focus on the movements of pastoralists in the Far North Region of Cameroon, who follow an annual transhumance by moving between rainy and dry season pastures. Describing, summarizing, and modeling the transhumance movements in the region are important steps for understanding the role these movements may play in the transmission of infectious diseases affecting humans and animals. We collected data on this transhumance system for four years using a combination of surveys and GPS mapping. An analysis on the spatial and temporal characteristics of pastoral mobility suggests four transhumance modes, each with its own properties. Modes M1 and M2 represent the type of transhumance movements where pastoralists settle in a campsite for a relatively long period of time (≥20 days) and then move around the area without specific directions within a seasonal grazing area. Modes M3 and M4 on the other hand are the situations when pastoralists stay in a campsite for a relatively short period of time (<20 days) when moving between seasonal grazing areas. These four modes are used to develop a spatial-temporal mobility (STM) model that can be used to estimate the probability of a mobile pastoralist residing at a location at any time. We compare the STM model with two reference models and the experiments suggest that the STM model can effectively capture and predict the space-time dynamics of pastoral mobility in our study area.
对人类和动物的活动进行建模对于理解复杂社会和生态系统中传染病的传播至关重要。在本文中,我们关注喀麦隆远北地区牧民的活动,他们每年通过在雨季和旱季牧场之间迁移来进行季节性游牧。描述、总结和模拟该地区的季节性游牧活动是理解这些活动在影响人类和动物的传染病传播中可能发挥的作用的重要步骤。我们通过调查和GPS测绘相结合的方式,对这个季节性游牧系统进行了四年的数据收集。对牧民流动的空间和时间特征的分析表明存在四种季节性游牧模式,每种模式都有其自身特点。模式M1和M2代表季节性游牧活动的类型,即牧民在一个营地定居相对较长时间(≥20天),然后在季节性放牧区域内无特定方向地在该区域四处移动。另一方面,模式M3和M4是牧民在季节性放牧区域之间移动时在一个营地停留相对较短时间(<20天)的情况。这四种模式被用于开发一个时空流动(STM)模型,该模型可用于估计流动牧民在任何时间居住在某一地点的概率。我们将STM模型与两个参考模型进行比较,实验表明STM模型能够有效地捕捉和预测我们研究区域内牧民流动的时空动态。