M
Mikhail Prokopenko
Researcher at University of Sydney
Publications - 240
Citations - 7194
Mikhail Prokopenko is an academic researcher from University of Sydney. The author has contributed to research in topics: Population & Transfer entropy. The author has an hindex of 39, co-authored 232 publications receiving 6066 citations. Previous affiliations of Mikhail Prokopenko include Commonwealth Scientific and Industrial Research Organisation & Macquarie University.
Papers
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Journal ArticleDOI
Modelling transmission and control of the COVID-19 pandemic in Australia.
TL;DR: In this paper, the authors report the results of agent-based modelling using a fine-grained computational simulation of the ongoing COVID-19 pandemic in Australia, and compare several intervention strategies, including restrictions on international air travel, case isolation, home quarantine, social distancing with varying levels of compliance, and school closures.
Journal ArticleDOI
Local information transfer as a spatiotemporal filter for complex systems.
TL;DR: A measure of local information transfer, derived from an existing averaged information-theoretical measure, namely, transfer entropy, is presented, providing the first quantitative evidence for the long-held conjecture that the emergent traveling coherent structures known as particles are the dominant information transfer agents in cellular automata.
Journal ArticleDOI
Revealing COVID-19 transmission in Australia by SARS-CoV-2 genome sequencing and agent-based modeling.
Rebecca J. Rockett,Rebecca J. Rockett,Alicia Arnott,Alicia Arnott,Alicia Arnott,Connie Lam,Connie Lam,Rosemarie Sadsad,Rosemarie Sadsad,Verlaine J. Timms,Verlaine J. Timms,Karen-Ann Gray,Karen-Ann Gray,John-Sebastian Eden,Sheryl L. Chang,Mailie Gall,Jenny Draper,Eby Sim,Eby Sim,Nathan L. Bachmann,Nathan L. Bachmann,Ian Carter,Kerri Basile,Roy Byun,Matthew V. N. O'Sullivan,Matthew V. N. O'Sullivan,Matthew V. N. O'Sullivan,Sharon C.-A. Chen,Sharon C.-A. Chen,Sharon C.-A. Chen,Susan Maddocks,Tania C. Sorrell,Tania C. Sorrell,Dominic E. Dwyer,Dominic E. Dwyer,Dominic E. Dwyer,Edward C. Holmes,Jen Kok,Jen Kok,Jen Kok,Mikhail Prokopenko,Vitali Sintchenko +41 more
TL;DR: The prospective sequencing of SARS-CoV-2 clarified the probable source of infection in cases where epidemiological links could not be determined, significantly decreased the proportion of COVID-19 cases with contentious links, documented genomically similar cases associated with concurrent transmission in several institutions and identified previously unsuspected links.
Journal IssueDOI
An information-theoretic primer on complexity, self-organization, and emergence
TL;DR: A set of concepts, together with their possible information-theoretic interpretations, which can be used to facilitate the Complex Systems Science discourse are proposed and it is hoped that the suggested information- theoretic baseline may promote consistent communications among practitioners, and provide new insights into the field.
Journal ArticleDOI
Global socio-economic losses and environmental gains from the Coronavirus pandemic.
Manfred Lenzen,Mengyu Li,Arunima Malik,Francesco Pomponi,Ya-Yen Sun,Thomas Wiedmann,Futu Faturay,Jacob Fry,Blanca Gallego,Arne Geschke,Jorge Gómez-Paredes,Jorge Gómez-Paredes,Keiichiro Kanemoto,Steven Kenway,Keisuke Nansai,Keisuke Nansai,Mikhail Prokopenko,Takako Wakiyama,Yafei Wang,Moslem Yousefzadeh +19 more
TL;DR: While Asia, Europe and the USA have been the most directly impacted regions, and transport and tourism the immediately hit sectors, the indirect effects transmitted along international supply chains are being felt across the entire world economy.