North American bat species have been undergoing extreme population declines due to the White-Nose Syndrome (WNS) epidemic caused by the spread of its pathogen, Pseudogymnoascus destructans. Existing models that represent the spread of the disease are limited in their scalability for use in management decisions or lacked the sophistication necessary to capture the complexity of WNS spread. Grounded in the theory of geoexpression, we exploit the latent structure of geographical process concurrency by implementing our modeling software using a concurrent Entity Component System architecture. We demonstrate our model’s computational tractability for millions of individual bats. This work is significant because it lays the foundation for the use of advanced cyberinfrastructure and cyberGIS to address challenges in geographical wildlife epidemiology that can be understood using dynamic geographical Individual-Based Models.

中文翻译：

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用于地理野生动物流行病学建模的并发实体组件系统

由于其病原体Pseudogymnoascus destructans的传播导致白鼻综合征 (WNS) 流行，北美蝙蝠物种的种群数量急剧下降。代表疾病传播的现有模型在用于管理决策的可扩展性方面受到限制，或者缺乏捕捉 WNS 传播复杂性所需的复杂性。以地理表达理论为基础，我们通过使用并发实体组件系统架构实现我们的建模软件来利用地理进程并发的潜在结构。我们展示了我们的模型对数百万只蝙蝠的计算易处理性。这项工作意义重大，因为它为使用先进的网络基础设施和网络地理信息系统解决地理野生动物流行病学中的挑战奠定了基础，这些挑战可以使用基于动态地理个体的模型来理解。