【摘要】 目的建立Hopfield神经网络模型,对珠海市麻疹点状暴发的发病风险进行综合评估,识别高风险地区。方法确定发病率、接种率、监测系统运转质量、疫点处置共四大类9项指标,利用矩阵实验室(matrix laboratory,Matlab)软件工具箱中的Hopfield神经网络模型进行建模。结果香洲区麻疹点状暴发疫情风险等级为"极高风险",金湾区为"高风险",斗门区为"低风险"。结论 Hopfield神经网络模型可对麻疹疫情风险进行综合评估,初步识别点状暴发的高风险地区。更多还原

【Abstract】 Objective Hopfield neural network model was established to assess the risk of sporadic measles outbreaks and identify high risk areas. Methods Four categories and 9 evaluation indicators regarding the incidence,vaccination rate,running quality of measles monitoring system,and disposition of epidemic spot were determined as parameters to model the Hopfield neural network using matrix lab software. Results The risk levels of sporadic measles outbreaks in Xiangzhou District,Jinwan District and Doumen District were identified as extreme high risk,high risk and low risk,respectively. Conclusions Hopfield neural network model can be used for assessing the risk of sporadic measles outbreaks and identifying high risk areas preliminarily.更多还原