A Concurrent Entity Component System for Geographical Wildlife Epidemiological Modeling
A Concurrent Entity Component System for Geographical Wildlife Epidemiological Modeling
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DOI：
10.1111/gean.12258
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发表时间：
2020-09
影响因子：
3.6
通讯作者：
Austin V. Davis;Shaowen Wang
中科院分区：
文献类型：
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作者：
Austin V. Davis;Shaowen Wang
由于病原体Pseudogymnoclasts destructans的传播引起的白色鼻综合征（WNS）流行病，北美蝙蝠物种一直在经历极端的人口下降。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，或者缺乏捕获WNS传播复杂性所需的复杂性。基于地理表达的理论，我们开发了地理过程并发的潜在结构，实现了我们的建模软件，使用并发实体组件系统架构。我们证明了我们的模型的计算数百万个蝙蝠的易处理性。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GIS来应对地理野生动物流行病学的挑战奠定了基础，这些挑战可以使用动态地理个体模型来理解。
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 ofgeoexpression, 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.