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http://dx.doi.org/10.7465/jkdi.2015.26.5.1087

Influenza prediction models by using meteorological and social media informations  

Hwang, Eun-Ji (Korea Health Industry Policy Development Institute)
Na, Jong-Hwa (Department of Information and Statistics/Business Data Convergence, Chungbuk National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.26, no.5, 2015 , pp. 1087-1095 More about this Journal
Abstract
Influenza, commonly known as "the flu", is an infectious disease caused by the influenza virus. We consider, in this paper, regression models as a prediction model of influenza disease. While most of previous researches use mainly the meteorological variables as a predictive variables, we consider social media information in the models. As a result, we found that the contributions of two-type of informations are comparable. We used the medical treatment data of influenza provided by Natioal Health Insurance Survice (NHIS) and the meteorological data provided by Korea Meteorological Administration (KMA). We collect social media information (twitter buzz amount) from Twitter. Time series model is also considered for comparison.
Keywords
Influenza; prediction model; related keyword; social media;
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