{"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, Jin-Xin Zheng, Xin-Yi Wang, Jing-Bo Xue, Jian-Hong Hu, Xue-Qiang Zhang, Xiao-Nong Zhou, 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, Jin-Xin Zheng, Xin-Yi Wang, Jing-Bo Xue, Jian-Hong Hu, Xue-Qiang Zhang, Xiao-Nong Zhou, 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}
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.
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.