About: Influenza early warning model based on Yunqi theory

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Influenza early warning model based on Yunqi theory
Creator	Meng, Cui Hu, Xue-Qin Quirchmayr, Gerald Winiwarter, Werner
source	Medline; PMC
abstract	OBJECTIVE: To establish an early warning model to simulate the outbreak of influenza based on weather conditions and Yunqi theory, an ancient calendar theory of Chinese medicine (CM). METHODS: Tianjin, a northeastern city in China, was chosen as the region of research and applied the influenza-like illness attack rate (ILI)% as the baseline and warning line to determine the severity of influenza epidemic. Then, an influenza early warning model was constructed based on the theory of rough set and support vector machines (RS-SVM), and the relationship between influenza and meteorology was explored through analyzing the monitoring data. RESULTS: The predictive performance of the model was good, which had achieved 81.8% accuracy when grouping the obtained data into three levels that represent no danger, danger of a light epidemic, and danger of a severe epidemic. The test results showed that if the host qi and guest qi were not balanced, this kind of situation was more likely to cause influenza outbreaks. CONCLUSIONS: The outbreak of influenza closely relates to temperature, humidity, visibility, and wind speed and is consistent with some part of CM doctrine. The result also indicates that there is some reasonable evidence in the Yunqi theory.
has issue date	2012-04-02(xsd:dateTime)
bibo:doi	10.1007/s11655-012-1003-4
bibo:pmid	22466943
has license	no-cc
sha1sum (hex)	6cc3b34d1d43c90f8fb6f8b02c68a0df8ffb7f20
schema:url	https://doi.org/10.1007/s11655-012-1003-4
resource representing a document's title	Influenza early warning model based on Yunqi theory
has PubMed Central identifier	PMC7088626
has PubMed identifier	22466943
schema:publication	Chin J Integr Med
resource representing a document's body	covid:6cc3b34d1d43c90f8fb6f8b02c68a0df8ffb7f20#body_text
is schema:about of	named entity 'rough set' named entity 'baseline' named entity 'monitoring' named entity 'WARNING' named entity 'CONDITIONS' named entity 'ANCIENT' named entity 'CONSTRUCTED' named entity 'CHINA' named entity 'EARLY' named entity 'simulate' named entity 'sore throat' named entity 'Then' named entity 'infl' named entity 'theory' named entity 'outbreak' named entity 'Tianjin' named entity 'Chinese medicine' named entity 'genetic algorithm' named entity 'Tianjin' named entity 'cation' named entity 'viruses' named entity 'epidemic' named entity 'genetic algorithm' named entity 'humidity' named entity 'pestilence' named entity 'clinician' named entity 'Tianjin' named entity 'predictive model' named entity 'meteorological data' named entity 'cough' named entity 'ILI' named entity 'influenza' named entity 'Rough set' named entity 'ozone' named entity 'epidemics' named entity 'China CDC' named entity 'influenza-like illness' named entity 'experimental results' named entity 'health effects of climate change' named entity 'influenza outbreaks' named entity 'radial basis function' named entity 'outpatient' named entity 'epidemic' named entity 'well-being' named entity 'CDC' named entity 'humidity' named entity 'cyclical model' named entity 'well-being' named entity 'common cold' named entity 'public health' named entity 'human body' named entity 'China' named entity 'relative humidity' named entity 'Influenza' named entity 'humidity' named entity 'influenza' named entity 'case report' named entity 'severe acute respiratory syndrome' named entity 'cation' named entity 'humidity' named entity 'low temperature' named entity 'ILI' named entity 'influenza' named entity 'air pollution' named entity 'cardiovascular diseases' named entity 'influenza' named entity 'randomly selected' named entity 'SVM' named entity 'upper respiratory tract' named entity 'SARS' named entity 'epidemic' named entity 'influenza' named entity 'interval number' named entity 'SVM' named entity 'ith' named entity 'kernel function' named entity 'data processing' named entity 'attack rate'

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