• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

An assessment of the use of Bayes' Theorem for forecasting in public health: the case of epidemic meningitis in China.

作者信息

Zeng G, Thacker S B, Hu Z, Lai X J, Wu G K

机构信息

Institute of Epidemiology and Microbiology, Chinese Academy of Preventive Medicine, Peking.

出版信息

Int J Epidemiol. 1988 Sep;17(3):673-9. doi: 10.1093/ije/17.3.673.

DOI:10.1093/ije/17.3.673
PMID:3209347
Abstract

A mathematical model based upon Bayes' Theorem (BT) was used to forecast the occurrence of epidemic cerebrospinal meningitis (ECM) in ten communities in North China. Reports of ECM from each ten-day period during the meningitis season and records of special population movement during 1960-82 were analysed to establish forecast models. Calibration, split-sample, random-sample selection, as well as actual forecast tests, were used to check the efficiency of the models. For all the tests, the theoretical occurrence of ECM forecast by the BT method was compared with the observational data. Since the BT method offers efficiency and convenience, it is recommended for use in planning for the prevention and control of ECM in China.

摘要

相似文献

1
An assessment of the use of Bayes' Theorem for forecasting in public health: the case of epidemic meningitis in China.
Int J Epidemiol. 1988 Sep;17(3):673-9. doi: 10.1093/ije/17.3.673.
2
[The use of Bayes' theorem in controlling the coming epidemic peak of epidemic meningitis in the 1980s].[20世纪80年代贝叶斯定理在控制流行性脑脊髓膜炎即将到来的流行高峰中的应用]
Zhonghua Liu Xing Bing Xue Za Zhi. 1990 Aug;11(4):193-7.
3
[Using the Bayes method of probability for the early forecast of the prevalence of epidemic meningococcal meningitis].[运用贝叶斯概率方法对流行性脑脊髓膜炎患病率进行早期预测]
Zhonghua Liu Xing Bing Xue Za Zhi. 1985 Dec;6(6):347-50.
4
Issues in the application of Bayes' Theorem to child abuse decision making.贝叶斯定理在虐待儿童决策应用中的问题。
Child Maltreat. 2009 Feb;14(1):114-20. doi: 10.1177/1077559508318395. Epub 2008 May 21.
5
A Bayesian Approach to Real-Time Monitoring and Forecasting of Chinese Foodborne Diseases.贝叶斯方法在实时监测和预测中国食源性疾病中的应用
Int J Environ Res Public Health. 2018 Aug 13;15(8):1740. doi: 10.3390/ijerph15081740.
6
Epidemic forecasts as a tool for public health: interpretation and (re)calibration.疫情预测作为公共卫生工具:解释和(重新)校准。
Aust N Z J Public Health. 2018 Feb;42(1):69-76. doi: 10.1111/1753-6405.12750. Epub 2017 Dec 27.
7
Inference and forecast of H7N9 influenza in China, 2013 to 2015.2013年至2015年中国H7N9流感的推断与预测
Euro Surveill. 2017 Feb 16;22(7). doi: 10.2807/1560-7917.ES.2017.22.7.30462.
8
Floods: some probabilistic and statistical approaches.洪水:一些概率和统计方法。
Philos Trans A Math Phys Eng Sci. 2002 Jul 15;360(1796):1389-408. doi: 10.1098/rsta.2002.1006.
9
A Bayesian forecasting model: predicting U.S. male mortality.一种贝叶斯预测模型:预测美国男性死亡率。
Biostatistics. 2006 Oct;7(4):530-50. doi: 10.1093/biostatistics/kxj024. Epub 2006 Feb 16.
10
[Demonstration on Z-D phenomenon in the occurrence of infectious diseases].[传染病发生中Z-D现象的演示]
Zhonghua Liu Xing Bing Xue Za Zhi. 1997 Oct;18(5):270-4.

引用本文的文献

1
Prevalence and Risk Factors of Comorbidities among Hypertensive Patients in China.中国高血压患者合并症的患病率及危险因素
Int J Med Sci. 2017 Feb 23;14(3):201-212. doi: 10.7150/ijms.16974. eCollection 2017.
2
Forecasting disease risk for increased epidemic preparedness in public health.预测疾病风险以加强公共卫生领域的疫情防范能力。
Adv Parasitol. 2000;47:309-30. doi: 10.1016/s0065-308x(00)47013-2.