activity
20172024
most citedGame theoretic modelling of infectious disease dynamics and intervention methods: a mini-review

183 citations · 429 across the 11 of their papers we have counts for

collaborators

11 papers

cs.SI2024

Interdependency and cascading failures in co-patenting and shareholding interfirm networks

Daniel Marcolin, Yasuyuki Todo, Mahendra Piraveenan

This work analyses the interdependent link creation of patent and shareholding links in interfirm networks, and how this dynamics affects the resilience of such networks in the fac…

q-bio.PE2024

Computational Approaches of Modelling Human Papillomavirus Transmission and Prevention Strategies: A Systematic Review

Weiyi Wang, Shailendra Sawleshwarkar, Mahendra Piraveenan

Human papillomavirus (HPV) infection is the most common sexually transmitted infection in the world. Persistent oncogenic Human papillomavirus infection has been a leading threat t…

cs.SI2024

Agent based network modelling of COVID-19 disease dynamics and vaccination uptake in a New South Wales Country Township

Shing Hin, Yeung, Mahendra Piraveenan

We employ an agent-based contact network model to study the relationship between vaccine uptake and disease dynamics in a hypothetical country town from New South Wales, Australia,…

cs.SI2023

SeCoNet: A Heterosexual Contact Network Growth Model for Human Papillomavirus Disease Simulation

Weiyi Wang, Mahendra Piraveenan

Human Papillomavirus infection is the most common sexually transmitted infection, and causes serious complications such as cervical cancer in vulnerable female populations in regio…

nlin.AO2022

Disassortative mixing of boundedly-rational players in socio-ecological systems

Prasan Ratnayake, Dharshana Kasthurirathna, Mahendra Piraveenan

Bounded rationality refers to the non-optimal rationality of players in non-cooperative games. In a networked game, the bounded rationality of players may be heterogeneous and spat…

cs.GT2020★ 97 cited

Optimal governance and implementation of vaccination programmes to contain the COVID-19 pandemic

Mahendra Piraveenan, Shailendra Sawleshwarkar, Michael Walsh +11

Since the recent introduction of several viable vaccines for SARS-CoV-2, vaccination uptake has become the key factor that will determine our success in containing the COVID-19 pan…

q-bio.PE2020★ 34 cited

Impact of network assortativity on epidemic and vaccination behaviour

Sheryl L. Chang, Mahendra Piraveenan, Mikhail Prokopenko

The resurgence of measles is largely attributed to the decline in vaccine adoption and the increase in mobility. Although the vaccine for measles is readily available and highly su…

q-bio.PE2019★ 37 cited

The effects of imitation dynamics on vaccination behaviours in SIR-network model

Sheryl L. Chang, Mahendra Piraveenan, Mikhail Prokopenko

We present a series of SIR-network models, extended with a game-theoretic treatment of imitation dynamics which result from regular population mobility across residential and work…

q-bio.PE2019★ 183 cited

Game theoretic modelling of infectious disease dynamics and intervention methods: a mini-review

Sheryl L. Chang, Mahendra Piraveenan, Philippa Pattison +1

We review research papers which use game theory to model the decision making of individuals during an epidemic, attempting to classify the literature and identify the emerging tren…

physics.soc-ph2018★ 78 cited

Urbanization affects peak timing, prevalence, and bimodality of influenza pandemics in Australia: results of a census-calibrated model

Cameron Zachreson, Kristopher M. Fair, Oliver M. Cliff +3

We examine salient trends of influenza pandemics in Australia, a rapidly urbanizing nation. To do so, we implement state-of-the-art influenza transmission and progression models wi…

cs.SI2017

Network growth models: A behavioural basis for attachment proportional to fitness

Michael Bell, Supun Perera, Mahendrarajah Piraveenan +3

Several growth models have been proposed in the literature for scale-free complex networks, with a range of fitness-based attachment models gaining prominence recently. However, th…