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An Analysis Of The Impact Of Epidemics Of Infectious Diseases On The Number Of Relevant News, Based On The Panel Data Model | 17899
ISSN: 2161-1165
Epidemiology: Open Access
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ublic opinions and health risk communication play an influential role in the public health practice, especially in diseases
control and vaccination. News is the primary source of public opinions and to some extent guides the latter. By monitoring
relevant news, we can predict public opinions trends and make an effective risk communication strategy. This article is an
empirical study to find out the influence of the epidemics of infectious diseases to and the time effect on the number of relevant
news. Monthly announcement of infectious diseases and relevant news were collected for the analysis. Panel data model was
applied. Panel data model is a comprehensive model to analyze the combination of cross-sectional (i.e., disease specific) and
time series data. It can also offer a determinant parameter as other association analysis does. After screening the sample sizes
of all 55 notifiable diseases, the data of Acquired Immunodeficiency Syndrome (AIDS), and Hand, Foot and Mouth Disease
(HFMD) were used to establish the model. Both of their monthly epidemics were the key factors of the number of relevant
news. Using individual-time fixed effect model, the determinant parameter (R
2
) was 0.870. Media was more active to the news
related to AIDS, compared with HFMD. From the time effect aspect, the more sensitive months to the epidemic was January
and February, while in December it was on the contrast. The study suggests that the epidemics of AIDS or HFMD are good
predictors to the relevant news. We can also evaluate the capacity of risk communication by estimating the number of relevant
news.
Biography
Dingfeng Wu is a PhD candidate in Chinese Center for Disease Control and Prevention. He has done his major in epidemiology, biostatistics and health policy, with
particular interests in HIV/AIDS. He got his Master degree in Public Health at Royal Tropical Institute, the Netherlands in 2011. He has published several articles
with different disciplines, such as epidemiology surveys, social determinants, and community behavior change.
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