Influenza epidemic monitoring and analysis method and system for microblog data

Abstract

The invention relates to a microblog-data-oriented flu epidemic surveillance analysis method which comprises the steps of obtaining a part of microblogs to be used as a training microblog set, marking each microblog in the training microblog set, obtaining a microblog text lexical item set of the training microblog set, obtaining a microblog text primitive feature lexical item set of the training microblog set, obtaining a feature lexical item dictionary, vectorizing features, training feature vectors to obtain an SVM classifier, obtaining the rest of the microblogs to be used as a testing microblog set, obtaining a microblog text lexical item set of the testing microblog set, obtaining a microblog text primitive feature lexical item set of the texting microblog set, vectorizing features, automatically classifying microblogs in the testing microblog set through the SVM classifier, and visualizing classification results to carry out flu epidemic surveillance analysis. The invention further relates to a microblog-data-oriented flu epidemic surveillance analysis system. The method and the system can help people to find the propagation tendency of flu, large-range propagation of flu is timely and effectively stopped, and influenza pandemic is prevented.

Description

technical field [0001] The invention relates to a microblog data-oriented influenza epidemic monitoring and analysis method and system. Background technique [0002] Domestic influenza surveillance originated in the 1950s. In 1952, mainland China began influenza virus research, and in 1957 the National Influenza Center was established. Since 2000, the Ministry of Health has cooperated with the WHO to establish a national influenza surveillance network based on influenza-like case reporting and influenza virus isolation; as of 2005, it has been established in 31 provinces (municipalities and autonomous regions) across the country. The 63 network laboratories and 197 national influenza sentinel surveillance hospitals aim to analyze the data reported by the surveillance network to understand the activity status and dynamic changes of influenza, and provide scientific basis for early warning of influenza outbreaks. At present, the influenza surveillance systems that have been e...

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Problems solved by technology

[0003] However, the above-mentioned influenza surveillance system has some disadvantages: First, although the pathogenic detection has high specificity, the timeliness is poor. At the same time, due to the limitation of experimental conditions and human and material resources, it cannot fully meet the requirements of early warning of influenza pandemic. need

Second, the successful implementation of infectious disease monitoring is based on the support of the administrative department and the strong cooperation of various medical institutions. , the existing monitoring and early warning system cannot adapt to the new situation of globalization, urbanization and domestic social transformation, so that the monitoring and early warning of influenza is still in a passive situation to a certain extent

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