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An Epidemic Avian Influenza Prediction Model Based on Google Trends

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The occurrence of epidemic avian influenza (EAI) not only hinders the development of a country's agricultural economy, but also seriously affects human beings’ life. Recently, the information collected from Google Trends has been increasingly used to predict various epidemics. In this study, using the relevant keywords in Google Trends as well as the multiple linear regression approach, a model was developed to predict the occurrence of epidemic avian influenza. It was demonstrated by rigorous cross-validations that the success rates achieved by the new model were quite high, indicating the predictor will become a very useful tool for hospitals and health providers.
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Keywords: Chou’s intuitive metrics; Google trends; H5N2; avian influenza; multiple line regression model; prediction model

Document Type: Research Article

Publication date: April 1, 2019

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  • Letters in Organic Chemistry publishes original letters on all areas of organic chemistry including synthesis, bioorganic, medicinal, natural products, organometallic, supramolecular, molecular recognition and physical organic chemistry. The emphasis is placed on publishing quality papers very rapidly. Letters are processed rapidly and take full advantage of the Internet technology both for the submission and the review of the manuscripts.
    The journal is essential reading for all organic chemists both in academia and industry.
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