Epidemiology (SARS, Avian Flu and COVID-19) | Publications

Epidemiology (SARS, Avian Flu and COVID-19)

Book Chapters

  1. X. Fu, Z. Liu, M. Small, and C. K. Tse, "Epidemic propagation dynamics on complex networks," Perspectives in Mathematical Sciences: Interdisciplinary Mathematical Sciences, Edited by Y, Yang, X. Chu and J. Duan, Singapore: World Scientific, Chapter 4, pp. 71-92, 2009.
  2. M. Small, C. K. Tse, and X. Fu, "Transmission of infextious agents on networks," Analisis No Lineal De Series Temporales, Edited by Grupo de Investigacion Interdisciplinar en Sistemas Dinamicos, 2008.

Journal Papers

  1. D. He, R. Lui, L. Wang, C. K. Tse, L. Yang, and L. Stone, "Global spatio-temporal patterns of influenza in post-pandemic era," Scientific Reports, vol. 5, article 11013, DOI: 10.1038/srep11013, June 2015. [PDF from Nature website]
  2. M. Small and C. K. Tse, "Complex network models of disease propagation: modelling, predicting and assessing the transmission of SARS," Hong Kong Medical Journal, vol. 16, no. 5, supplement 4, pp. 43-44,October 2010.
  3. M. Small, D.M. Walker, and C. K. Tse, "Scale free distribution of avian influenza outbreaks," Physical Review Letters, vol. 99, 188702, November 2007.
  4. M. Small, C. K. Tse, and D.M. Walker, "Super-spreaders and the rate of transmission of the SARS virus," Physica D, vol. 215, pp. 146-158, March 2006.
  5. M. Small and C. K. Tse, "Small World and Scale Free Network Model of Transmission of SARS," International Journal of Bifurcation and Chaos, vol. 15, no. 5, pp. 1745-1756, May 2005.
  6. M. Small and C. K. Tse, "Clustering Model for Transmission of the SARS Virus: Application to Epidemic Control and Risk Assessment," Physica A, vol. 351, pp. 499-511, March 2005.
  7. M. Small, P. Shi, and C. K. Tse, "Plausible Models for Propagation of the SARS Virus," IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, vol. E87-A, no. 9, pp. 2379--2386, September 2004.

Preprint Papers

  1. Choujun Zhan, Chi K. Tse, Zhikang Lai, Xiaoyun Chen, and Mingshan Mo, General Model for COVID-19 Spreading with Consideration of Intercity Migration, Insufficient Testing and Active Intervention: Application to Study of Pandemic Progression in Japan and USA. Prprint at JMIR Public Health and Surveillance, doi: 10.2196/preprints.18880, URL: https://preprints.jmir.org/preprint/18880
  2. Choujun Zhan, Chi K. Tse, Zhikang Lai, Tianyong Hao, and Jingjing Su, Prediction of COVID-19 Spreading Profiles in South Korea, Italy and Iran by Data-Driven Coding. medRxiv 2020.03.08.20032847; doi: https://doi.org/10.1101/2020.03.08.20032847
  3. Choujun Zhan, Chi K. Tse, Yuxia Fu, Zhikang Lai, and Haijun Zhang. Modeling and Prediction of the 2019 Coronavirus Disease Spreading in China Incorporating Human Migration Data. medRxiv 2020.02.18.20024570; doi: https://doi.org/10.1101/2020.02.18.20024570

19mar2020-mp med hr
© Michael Tse 2020