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艾滋病疫情估计与预测方法研究进展
引用本文:唐林,孙坤,陈方方,李东民. 艾滋病疫情估计与预测方法研究进展[J]. 中华流行病学杂志, 2019, 40(6): 731-738
作者姓名:唐林  孙坤  陈方方  李东民
作者单位:中国疾病预防控制中心性病艾滋病预防控制中心流行病学室, 北京 102206,中国疾病预防控制中心性病艾滋病预防控制中心流行病学室, 北京 102206,中国疾病预防控制中心性病艾滋病预防控制中心流行病学室, 北京 102206,中国疾病预防控制中心性病艾滋病预防控制中心流行病学室, 北京 102206
基金项目:基于Bayesian Model的艾滋病疫情预测模型研究(2017ZX10201101-002-005)
摘    要:近年来,由于艾滋病监测系统的不断完善以及监测资料来源的多样性,艾滋病疫情估计与预测方法已成为了解艾滋病流行状况及预测发展趋势的重要工具,为此国内外学者采用了多种方法对艾滋病疫情进行了估计与预测。本研究对目前常用艾滋病疫情估计与预测方法的基本原理、适用条件、应用、优点及局限性进行综述,为疫情估计方法的选择与应用提供参考。

关 键 词:艾滋病病毒  估计  预测  模型  方法
收稿时间:2018-12-26

Progress on estimation and projection of HIV epidemics
Tang Lin,Sun Kun,Chen Fangfang and Li Dongmin. Progress on estimation and projection of HIV epidemics[J]. Chinese Journal of Epidemiology, 2019, 40(6): 731-738
Authors:Tang Lin  Sun Kun  Chen Fangfang  Li Dongmin
Affiliation:Department of Epidemiology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China,Department of Epidemiology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China,Department of Epidemiology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China and Department of Epidemiology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
Abstract:Due to the continuous improvement on HIV surveillance system and the diversity of data sources, various methodologies on estimation and projection of HIV/AIDS present greater contribution in exploring the natural history and related burden of HIV in the future. Different kinds of methods have been developed by professionals, both at home and abroad. This paper reviews the rationale, requirement, application, strength and limitation of the related methodologies that have been widely used in this field, to provide reference and evidence for the application and selection of related methodologies in the future.
Keywords:HIV  Estimation  Projection  Model  Method
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