基于移動百分位數法流感預警模型的探討
發(fā)布時間:2019-07-10 16:39
【摘要】:目的建立基于移動百分位數法的流感預警模型,探討最佳預警界值。方法采用不同百分位數P作為候選預警界值,對某省2006-2009年流感的周病例報告數進行分析,篩選最佳預警界值;采用2010年流感監(jiān)測數據驗證模型的預警判別效能。結果流感暴發(fā)流行的最佳預警界值為P85,靈敏度為94.12%,特異度為88.89%,ROC曲線下面積為0.915(95%CI:0.804~0.974)。實證研究顯示,在P85的預警界值下,該模型的靈敏度為73.68%,特異度為93.94%,陽性預測值為87.50%,陰性預測值為86.11%,ROC曲線下面積為0.838(95%CI:0.710~0.925)。結論在P85的預警界值下,基于移動百分位數法的模型具有較好的預測判別效能。
[Abstract]:Objective to establish an influenza early warning model based on moving percentile method and to explore the best early warning value. Methods using different percentile P as candidate early warning boundary value, the weekly case report number of influenza in a province from 2006 to 2009 was analyzed, and the best early warning threshold value was selected, and the early warning discriminant effect of the model was verified by influenza surveillance data in 2010. Results the best warning limit value of influenza outbreak was P85, the sensitivity was 94.12%, the specificity was 88.89%, and the area under ROC curve was 0.915 (95%CI:0.804~0.974). The empirical study showed that the sensitivity, specificity, positive predictive value and negative predictive value of the model were 73.68%, 93.94%, 87.50% and 86.11%, respectively, and the area under ROC curve was 0.838 (95%CI:0.710~0.925). Conclusion under the early warning threshold of P85, the model based on moving percentile method has better prediction and discrimination efficiency.
【作者單位】: 鄭州大學公共衛(wèi)生學院流行病與衛(wèi)生統(tǒng)計學系;河南省疾病預防控制中心傳染病所;
【基金】:國家自然科學基金資助項目(81001293) 鄭州大學全國大學生創(chuàng)新創(chuàng)業(yè)訓練計劃項目(2011cxsy173)
【分類號】:R181.2
[Abstract]:Objective to establish an influenza early warning model based on moving percentile method and to explore the best early warning value. Methods using different percentile P as candidate early warning boundary value, the weekly case report number of influenza in a province from 2006 to 2009 was analyzed, and the best early warning threshold value was selected, and the early warning discriminant effect of the model was verified by influenza surveillance data in 2010. Results the best warning limit value of influenza outbreak was P85, the sensitivity was 94.12%, the specificity was 88.89%, and the area under ROC curve was 0.915 (95%CI:0.804~0.974). The empirical study showed that the sensitivity, specificity, positive predictive value and negative predictive value of the model were 73.68%, 93.94%, 87.50% and 86.11%, respectively, and the area under ROC curve was 0.838 (95%CI:0.710~0.925). Conclusion under the early warning threshold of P85, the model based on moving percentile method has better prediction and discrimination efficiency.
【作者單位】: 鄭州大學公共衛(wèi)生學院流行病與衛(wèi)生統(tǒng)計學系;河南省疾病預防控制中心傳染病所;
【基金】:國家自然科學基金資助項目(81001293) 鄭州大學全國大學生創(chuàng)新創(chuàng)業(yè)訓練計劃項目(2011cxsy173)
【分類號】:R181.2
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