Published on in Vol 6, No 1 (2014):

Evaluating the Performance of Syndromic Surveillance System using High-fidelity Outbreak Simulations

Evaluating the Performance of Syndromic Surveillance System using High-fidelity Outbreak Simulations

Evaluating the Performance of Syndromic Surveillance System using High-fidelity Outbreak Simulations

The full text of this article is available as a PDF download by clicking here.

Tao Tao   1 ;   Qi Zhao   1 ;   Shaofa Nie   2 ;   Lars Palm   3 ;   Vinod K. Diwan   4 ;   Biao Xu   1

1 School of Public Health, Fudan University, Shanghai, China.

2 Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

3 Future Position X (FPX), Gävle, Sweden.

4 Division of Global Health (IHCAR), Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.

Corresponding Author:

  • Tao Tao
  • School of Public Health, Fudan University, Shanghai, China.