| Modelling transmission and control of the COVID-19 pandemic in Australia SL Chang, N Harding, C Zachreson, OM Cliff, M Prokopenko Nature Communications 11 (5710), https://doi.org/10.1038/s41467-020-19393, 2020 | 220 | 2020 |
| Revealing COVID-19 transmission in Australia by SARS-CoV-2 genome sequencing and agent-based modeling Nature Medicine, 2020 | 79 | 2020 |
| Game theoretic modelling of infectious disease dynamics and intervention methods: a review SL Chang, M Piraveenan, P Pattison, M Prokopenko Journal of biological dynamics 14 (1), 57-89, 2020 | 37 | 2020 |
| Modelling transmission and control of the COVID-19 pandemic in Australia. arXiv 2020 SL Chang, N Harding, C Zachreson, OM Cliff, M Prokopenko arXiv preprint arXiv:2003.10218, 2003 | 17 | 2003 |
| The effects of imitation dynamics on vaccination behaviours in SIR-network model SL Chang, M Piraveenan, M Prokopenko International Journal of Environmental Research and Public Health 16 (14), 2477, 2019 | 11 | 2019 |
| Modelling transmission and control of the COVID-19 pandemic in Australia; 2020 SL Chang, N Harding, C Zachreson, OM Cliff, M Prokopenko arXiv preprint arXiv:2003.10218, 2003 | 5 | 2003 |
| Modelling transmission and control of the COVID-19 pandemic in Australia. arXiv Prepr arXiv200310218 2020 Mar 23 [Internet]. 2020; 1–31 SL Chang, N Harding, C Zachreson, OM Cliff, M Prokopenko | 5 | 2003 |
| Impact of network assortativity on epidemic and vaccination behaviour SL Chang, M Piraveenan, M Prokopenko Chaos, solitons & fractals 140, 110143, 2020 | 4 | 2020 |
| Instability of mixed Nash equilibria in generalised Hawk-Dove game: A project conflict management scenario S Le Chang, M Prokopenko Games 8 (4), 42, 2017 | 1 | 2017 |
| Non-linear effects of social connectivity on epidemic dynamics SL Chang University of Sydney, 2020 | | 2020 |
Mikhail ProkopenkoProfessor, Centre for Complex Systems, University of SydneyVerified email at sydney.edu.au
