Huaxiong Sheng
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Huaxiong Sheng has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Bo Peng
Department of Neurosurgery, People’s Hospital of Guanghan City, Guanghan City, Sichuan Province, People’s Republic of China
1 shared publication - Lin Wu
Joint Operation College of National Defense University Beijing China
1 shared publication Tingting Wu
Graduate School of National Defense University Beijing China
1 shared publication
Latest Publications
- Open Access
- 14 April 2021
- Published by Wiley in Journal of Medical Virology
- Vol. 93 (12) , 6496-6505
Network dynamic model of epidemic transmission introducing a heterogeneous control factor
The COVID‐19 epidemic is not only a medical issue but also a sophisticated social problem. We propose a network dynamics model of epidemic transmission introducing a heterogeneous control factor. The proposed model applied the classical susceptible‐ exposed‐infectious‐recovered model to the network based on effective distance and was modified by introducing a heterogeneous control factor with temporal and spatial characteristics. International aviation data were approximately used to estimate the flux fraction matrix, and the effective distance was calculated. Through parameter estimation and simulation, the theoretical values of the modified model fit well with practical values. By adjusting the parameters and observing the change of the results, we found that the modified model is more in line with the actual needs and has higher credibility in the comprehensive analysis. The assessment shows that the number of confirmed cases worldwide will reach about 20 million optimistically. In severe cases, the peak value will exceed 80 million, and the late stage of the epidemic shows a long tail shape, lasting more than one and a half years. The effective way to control the global epidemic is to strengthen international cooperation and to impose international travel restrictions and other measures.
- 14 April 2021
- Published by Wiley in Journal of Medical Virology
- Vol. 93 (12) , 6496-6505
Open AccessNetwork dynamic model of epidemic transmission introducing a heterogeneous control factor
The COVID‐19 epidemic is not only a medical issue but also a sophisticated social problem. We propose a network dynamics model of epidemic transmission introducing a heterogeneous control factor. The proposed model applied the classical susceptible‐ exposed‐infectious‐recovered model to the network based on effective distance and was modified by introducing a heterogeneous control factor with temporal and spatial characteristics. International aviation data were approximately used to estimate the flux fraction matrix, and the effective distance was calculated. Through parameter estimation and simulation, the theoretical values of the modified model fit well with practical values. By adjusting the parameters and observing the change of the results, we found that the modified model is more in line with the actual needs and has higher credibility in the comprehensive analysis. The assessment shows that the number of confirmed cases worldwide will reach about 20 million optimistically. In severe cases, the peak value will exceed 80 million, and the late stage of the epidemic shows a long tail shape, lasting more than one and a half years. The effective way to control the global epidemic is to strengthen international cooperation and to impose international travel restrictions and other measures.