Application of EWMA and CUSUM models to School Absenteeism Surveillance for Detecting Infectious Disease Outbreaks in Rural China

Authors

  • Qin Qin Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei
  • Jing Wu Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei
  • Jie Zhang Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei
  • Li Tan Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei
  • Yunzhou Fan Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei
  • Li Liu Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei
  • Lihong Tian Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei
  • Ying Wang Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei
  • Hongbo Jiang Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei
  • Sheng Wei Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei
  • Vinod K. Diwan Division of Global Health (IHCAR), Department of Public Health Science, Karolinska Institutet, Stockholm
  • Weirong Yan Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Division of Global Health (IHCAR), Department of Public Health Science, Karolinska Institutet, Stockholm, Sweden.
  • Shaofa Nie Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei

DOI:

https://doi.org/10.5210/ojphi.v6i1.5041

Abstract

Since April 1, 2012, an integrated syndromic surveillance system (ISSC) has been implemented in rural Hubei Province, China. School absenteeism surveillance is an important part of the system. At the beginning of the project, the suspected diseases outbreak detection mainly depended on researchers' daily data check. The workload was too much to expand the system largely. For early identification and automatic warning of school infectious disease outbreaks, this abstract compared different models to choose the optimal model.

Author Biography

Qin Qin, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei

Qin Qin, female, 26 years old, a PhD student from Tongji Medical College of Huazhong University of Science and Technology in Wuhan, China. Her research direction is disease surveillance and early warning of infectious disease. And now she is a researcher in an integrated surveillance system project in rural China (ISSC), which funded by European Union Framework Program 7.

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Published

2014-03-03

How to Cite

Qin, Q., Wu, J., Zhang, J., Tan, L., Fan, Y., Liu, L., … Nie, S. (2014). Application of EWMA and CUSUM models to School Absenteeism Surveillance for Detecting Infectious Disease Outbreaks in Rural China. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5041

Issue

Section

Poster Presentations