The Growth and Variation of Symptoms of Influenza-like Illness: An Application of the Linear Growth Curve Model in Syndromic Surveillance in Rural China

Authors

  • Xiaoxiao Song Dept. of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
  • Tao Tao Dept. of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
  • Tao Tao Dept. of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
  • Qi Zhao Dept. of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
  • Lars Palm Future Position X, Gavle, Sweden.
  • Shaofa Nie School of Public Health, Tongji Medical College of Hazhong University of Science and Technology, Hubei, China.
  • Hui Yuan Jiangxi Provincial Center for Disease Prevention and Control, Nanchang, Jianxi, China.
  • Vinod K. Diwan Division of Global Health (IHCAR), Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
  • Biao Xu Dept. of Epidemiology, School of Public Health, Fudan University, Shanghai, China.

DOI:

https://doi.org/10.5210/ojphi.v6i1.5180

Abstract

To early detection of influenza outbreak in the rural China, we collected the 1-year data of ILI through the web-based syndromic surveillance system in rural China (ISSC). Linear growth curve model (LGM) can be used to predict growth trajectory of ILI over 7 days (one week) in each healthcare unit by the introduction of random effects. LGM is applicable in modeling the growth and variation of daily outpatient visits of ILI in rural healthcare units. The growth rate curves of ILI surveillance data might be useful for the early detection of influenza epidemic in rural China.

Author Biography

Xiaoxiao Song, Dept. of Epidemiology, School of Public Health, Fudan University, Shanghai, China.

Song xiaoxiao, Ph.D. student, is now studying in the Department of epidemiology, School of Public Health, Fudan university. At the moment my applications of interest focus on particularly practicing the longitude data, mixed model and Structural Equation Models (SEM), as well as Multilevel models in public health and medical research.

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Published

2014-03-09

How to Cite

Song, X., Tao, T., Tao, T., Zhao, Q., Palm, L., Nie, S., … Xu, B. (2014). The Growth and Variation of Symptoms of Influenza-like Illness: An Application of the Linear Growth Curve Model in Syndromic Surveillance in Rural China. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5180

Issue

Section

Poster Presentations