流行病学大数据和分析工具在中国寄生虫病控制规划中的应用:NIPD 70年来的持续贡献。

3区 医学 Q1 Immunology and Microbiology
Advances in Parasitology Pub Date : 2020-01-01 Epub Date: 2020-05-30 DOI:10.1016/bs.apar.2020.04.009
Shang Xia, Jin-Xin Zheng, Xin-Yi Wang, Jing-Bo Xue, Jian-Hong Hu, Xue-Qiang Zhang, Xiao-Nong Zhou, Shi-Zhu Li
{"title":"流行病学大数据和分析工具在中国寄生虫病控制规划中的应用:NIPD 70年来的持续贡献。","authors":"Shang Xia,&nbsp;Jin-Xin Zheng,&nbsp;Xin-Yi Wang,&nbsp;Jing-Bo Xue,&nbsp;Jian-Hong Hu,&nbsp;Xue-Qiang Zhang,&nbsp;Xiao-Nong Zhou,&nbsp;Shi-Zhu Li","doi":"10.1016/bs.apar.2020.04.009","DOIUrl":null,"url":null,"abstract":"<p><p>The analysis of epidemiological data has played an important role for the academic research carried out by the National Institute of Parasitic Diseases, China CDC, since its foundation in 1950s. Those researches, e.g., the temporal-spatial patterns of disease transmission and the identification of risk factors, have contributed significantly to the national parasitic disease control and elimination programmes in China. With the development and application of epidemiological data analysis in the last decade, all research results improve our understanding of parasitic diseases epidemiology and related health issues through the application platform of epidemiological big data and analytical tools. In particular, implementation research on analytical predictions on disease outbreak or epidemic risks have provided references to the scientific guidance on effective preventions and interventions in the parasitic disease elimination in China, such as fliariasis, malaria and schistosomiasis. This review has reflected the function of data accumulation and application of temporospatial tools in parasitic diseases control, and the ways of the NIPD's sustained contributions to the disease control programmes in China.</p>","PeriodicalId":50854,"journal":{"name":"Advances in Parasitology","volume":" ","pages":"319-347"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/bs.apar.2020.04.009","citationCount":"2","resultStr":"{\"title\":\"Epidemiological big data and analytical tools applied in the control programmes on parasitic diseases in China: NIPD's sustained contributions in 70 years.\",\"authors\":\"Shang Xia,&nbsp;Jin-Xin Zheng,&nbsp;Xin-Yi Wang,&nbsp;Jing-Bo Xue,&nbsp;Jian-Hong Hu,&nbsp;Xue-Qiang Zhang,&nbsp;Xiao-Nong Zhou,&nbsp;Shi-Zhu Li\",\"doi\":\"10.1016/bs.apar.2020.04.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The analysis of epidemiological data has played an important role for the academic research carried out by the National Institute of Parasitic Diseases, China CDC, since its foundation in 1950s. Those researches, e.g., the temporal-spatial patterns of disease transmission and the identification of risk factors, have contributed significantly to the national parasitic disease control and elimination programmes in China. With the development and application of epidemiological data analysis in the last decade, all research results improve our understanding of parasitic diseases epidemiology and related health issues through the application platform of epidemiological big data and analytical tools. In particular, implementation research on analytical predictions on disease outbreak or epidemic risks have provided references to the scientific guidance on effective preventions and interventions in the parasitic disease elimination in China, such as fliariasis, malaria and schistosomiasis. This review has reflected the function of data accumulation and application of temporospatial tools in parasitic diseases control, and the ways of the NIPD's sustained contributions to the disease control programmes in China.</p>\",\"PeriodicalId\":50854,\"journal\":{\"name\":\"Advances in Parasitology\",\"volume\":\" \",\"pages\":\"319-347\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/bs.apar.2020.04.009\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Parasitology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/bs.apar.2020.04.009\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/5/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"Immunology and Microbiology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Parasitology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/bs.apar.2020.04.009","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/5/30 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Immunology and Microbiology","Score":null,"Total":0}
引用次数: 2

摘要

自20世纪50年代中国疾病预防控制中心寄生虫病研究所成立以来,流行病学数据分析对其开展的学术研究起着重要作用。这些研究,例如疾病传播的时空格局和风险因素的确定,对中国的国家寄生虫病控制和消除方案作出了重大贡献。随着近十年来流行病学数据分析的发展和应用,所有的研究成果都通过流行病学大数据应用平台和分析工具,提高了我们对寄生虫病流行病学及相关健康问题的认识。特别是对疾病暴发或流行风险的分析预测实施研究,为中国消除蝇、疟疾、血吸虫等寄生虫病的有效预防和干预提供了科学指导。本文综述了数据积累和时空工具在寄生虫病控制中的作用,以及NIPD对中国寄生虫病控制规划的持续贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Epidemiological big data and analytical tools applied in the control programmes on parasitic diseases in China: NIPD's sustained contributions in 70 years.

The analysis of epidemiological data has played an important role for the academic research carried out by the National Institute of Parasitic Diseases, China CDC, since its foundation in 1950s. Those researches, e.g., the temporal-spatial patterns of disease transmission and the identification of risk factors, have contributed significantly to the national parasitic disease control and elimination programmes in China. With the development and application of epidemiological data analysis in the last decade, all research results improve our understanding of parasitic diseases epidemiology and related health issues through the application platform of epidemiological big data and analytical tools. In particular, implementation research on analytical predictions on disease outbreak or epidemic risks have provided references to the scientific guidance on effective preventions and interventions in the parasitic disease elimination in China, such as fliariasis, malaria and schistosomiasis. This review has reflected the function of data accumulation and application of temporospatial tools in parasitic diseases control, and the ways of the NIPD's sustained contributions to the disease control programmes in China.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Advances in Parasitology
Advances in Parasitology 医学-寄生虫学
CiteScore
9.00
自引率
0.00%
发文量
28
审稿时长
>12 weeks
期刊介绍: Advances in Parasitology is recognised as a leading review serial which is consistently well placed in terms of impact factor and citations. Major reviews on all aspects of medical, veterinary and wild-life parasitology are considered. The journal provides an outlet for authoritative reviews from experts in the field. While emphasis is given to modern molecular approaches contributions across all disciplines are encouraged including traditional areas such as ecology and taxonomy. Eclectic volumes are supplemented by thematic volumes dedicated to a particular topic of recognised interest and importance.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信