黑料网

ISSN: 2161-1165

Epidemiology: 黑料网
黑料网

Our Group organises 3000+ Global Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ 黑料网 Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

黑料网 Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Citations : 3864

Indexed In
  • Index Copernicus
  • Google Scholar
  • Sherpa Romeo
  • Genamics JournalSeek
  • SafetyLit
  • Access to Global Online Research in Agriculture (AGORA)
  • Centre for Agriculture and Biosciences International (CABI)
  • RefSeek
  • Hamdard University
  • EBSCO A-Z
  • OCLC- WorldCat
  • CABI full text
  • Cab direct
  • Publons
  • Geneva Foundation for Medical Education and Research
  • Euro Pub
  • ICMJE
Share This Page
 

An analysis of the impact of epidemics of infectious diseases on the number of relevant news, based on the panel data model

2nd International Conference on Epidemiology & Evolutionary Genetics

Dingfeng Wu, Yuanqiu Li, Jian Yang, Jing Su and Lin Wang

ScientificTracks Abstracts: Epidemiol

DOI:

Abstract
P 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.
International Conferences 2024-25
 
Meet Inspiring Speakers and Experts at our 3000+ Global

Conferences by Country

Medical & Clinical Conferences

Conferences By Subject

Top