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[Progress of research regarding the influenza early warning system, based on "Big Data"].
Fu, Z O; Bao, C J; Li, Z J; Wang, L P; Li, Y; Leng, H B; Peng, Z H.
Afiliación
  • Fu ZO; School of Public Health, Nanjing Medical University, Nanjing 211166, China; Binxian Municipal Health Commission, Haerbin 150400, China.
  • Bao CJ; Jiangsu Center for Disease Control and Prevention, Nanjing 210009, China.
  • Li ZJ; Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Wang LP; Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Li Y; Bao'an District Center for Disease Control and Prevention, Shenzhen 518101, China.
  • Leng HB; Binxian Municipal Health Commission, Haerbin 150400, China.
  • Peng ZH; School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 41(6): 975-980, 2020 Jun 10.
Article en Zh | MEDLINE | ID: mdl-32564570
Shortcomings have been inherited in the traditional influenza early warning system, often expressed through the scope, accuracy on prediction and real-time performance of the monitor related programs. With the new round of scientific and technological revolution and the increasingly maturity of modern information system, related technology on influenza early warning has become the focus of research in this field, based on big data analysis technology. Using the traditional influenza surveillance and early warning system as reference, this paper summarizes the progress of influenza early warning research, based on the Internet, influencing factors, time and space trends, and risk assessment etc., to summarize the trends on the advantages, shortcomings and future development of big data, used in the early warning system on influenza.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Gripe Humana / Vigilancia en Salud Pública / Macrodatos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Gripe Humana / Vigilancia en Salud Pública / Macrodatos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2020 Tipo del documento: Article País de afiliación: China