National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China; Chinese Center for Tropical Diseases Research, Shanghai, People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China; National Health Commission of China, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China.
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China.
Adv Parasitol. 2020;110:319-347. doi: 10.1016/bs.apar.2020.04.009. Epub 2020 May 30.
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.
自上世纪 50 年代成立以来，中国疾病预防控制中心寄生虫病预防控制所一直重视对流行病学数据的分析，这些分析为中国的寄生虫病防治规划提供了重要的学术依据。例如，疾病传播的时空模式和危险因素的确定，为国家寄生虫病控制和消除规划做出了重大贡献。随着过去十年流行病学数据分析的发展和应用，所有研究成果都通过流行病学大数据和分析工具的应用平台，提高了我们对寄生虫病流行病学和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的实施研究，为中国在丝虫病、疟疾和血吸虫病等寄生虫病消除方面的有效预防和干预提供了科学依据。本综述反映了数据积累和时空工具应用在寄生虫病控制中的作用，以及该所持续为中国疾病控制规划做出贡献的方式。
