摘要
目的 建立中国结核病疫情发展预测模型。方法 根据中国结核病流行病学规律 ,针对Aruma模型的局限性 ,建立联立递推方程模型。利用所建模型对北京市 1979— 2 0 0 0年的疫情发展过程进行模拟 ,并与实际进行比较以评价模型的拟合优度。结果 从活动性肺结核、涂阳肺结核新登记人数、人群结核感染率以及全国结核病流行病学抽样调查结果 4个方面 ,模型的模拟结果与实际拟合良好。模型中可控制因素的灵敏度分析结果提示 ,只有提高了结防机构对肺结核病人特别是涂阳肺结核病人的管理比例后 ,DOTS策略才能发挥显著降低结核病疫情的作用。结论 结核病疫情发展预测模型能良好反映结核病流行实际过程 ,适合对结核病干预措施、控制策略的评价以及疫情发展预测。
Objective To establish the tuberculosis epidemic situation prediction model.Methods Aiming at the limitations of Aruma tuberculosis model,the tuberculosis epidemiology in china had been translated into a model including series of equations. The evolution of tuberculosis epidemic situation for 1979-2000 in Beijing had been simulated with the new established model.And the simulated data was compared with the actual data.Goodness-of-model fitting has been evaluated.Results The simulated data numbers of registered active tuberculosis patients number, registered sputum positive tuberculosis patients, tuberculous infection rate, and the tuberculosis prevalence from national tuberculosis sampling epidemiological survey were fitted with the acual datas. The results of sensitivity analysis of the key factors in model indicated that only the proportion of tuberculosis patients managed by the Tuberculosis Control Stations elevated, then the DOTS strategy could affect the epidemic situation significantly.Conclusion The tuberculosis epidemic situation prediction model could reflect the actual tuberculosis evolution exactly, and was fit for tuberculosis control measures evaluation and epidemic situation prediction.
出处
《中国防痨杂志》
CAS
北大核心
2004年第1期10-15,共6页
Chinese Journal of Antituberculosis
关键词
结核病
疫情
流行病学
涂阳肺结核
Pulmonary tuberculosis/epidemiology
Mathematical model
Prediction