Network Dynamics and Simulation Sciences Laboratory, Virginia Bioinformatics Institute at Virginia Tech, 1880 Pratt Dr, Blacksburg, Virginia 24060, USA.
J Biol Dyn. 2010 Sep;4(5):446-55. doi: 10.1080/17513751003778687.
Network models of infectious disease epidemiology can potentially provide insight into how to tailor control strategies for specific regions, but only if the network adequately reflects the structure of the region's contact network. Typically, the network is produced by models that incorporate details about human interactions. Each detail added renders the models more complicated and more difficult to calibrate, but also more faithful to the actual contact network structure. We propose a statistical test to determine when sufficient detail has been added to the models and demonstrate its application to the models used to create a synthetic population and contact network for the USA.
传染病流行病学网络模型可以为如何针对特定地区量身定制控制策略提供深入了解，但前提是网络充分反映该地区的接触网络结构。通常，网络是通过整合有关人际交互详细信息的模型生成的。添加的每个细节都会使模型变得更加复杂且更难以校准，但也更符合实际接触网络结构。我们提出了一种统计检验方法来确定何时已经向模型中添加了足够的详细信息，并展示了该方法在美国综合人口和接触网络模型中的应用。
