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pro vyhledávání: '"Harding, Nathan"'
Computational models of infectious disease can be broadly categorized into two types: individual-based (Agent-based), or compartmental models. While compartmental models can be structured to separate distinct sectors of a population, they are concept
Externí odkaz:
http://arxiv.org/abs/2112.01005
Publikováno v:
Nature Communications, 11: 5710, 2020
There is a continuing debate on relative benefits of various mitigation and suppression strategies aimed to control the spread of COVID-19. Here we report the results of agent-based modelling using a fine-grained computational simulation of the ongoi
Externí odkaz:
http://arxiv.org/abs/2003.10218
We present a novel approach to the study of epidemics on networks as thermodynamic phenomena, considering the thermodynamic efficiency of contagions, considered as distributed computational processes. Modelling SIS dynamics on a contact network stati
Externí odkaz:
http://arxiv.org/abs/1806.08504
Autor:
Zachreson, Cameron, Fair, Kristopher M., Cliff, Oliver M., Harding, Nathan, Piraveenan, Mahendra, Prokopenko, Mikhail
Publikováno v:
Science Advances 4(12) (2018)
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 within a large-scale stochastic computer simulation, generated using com
Externí odkaz:
http://arxiv.org/abs/1806.04001
Autor:
Cliff, Oliver M., Harding, Nathan, Piraveenan, Mahendra, Erten, E. Yagmur, Gambhir, Manoj, Prokopenko, Mikhail
In this paper we present ACEMod, an agent-based modelling framework for studying influenza epidemics in Australia. The simulator is designed to analyse the spatiotemporal spread of contagion and influenza spatial synchrony across the nation. The indi
Externí odkaz:
http://arxiv.org/abs/1806.02578
Publikováno v:
Scientific Reports. 5/6/2020, Vol. 10 Issue 1, p1-11. 11p.
This movie represents the baseline condition, where no mitigation efforts are employed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c36bdfb3e62b465abfac2817f3f8a55
Autor:
Harding, Nathan
Epidemics are a constant threat, able to bring the entire world to a halt in the case of extreme outbreaks. Computational epidemiology seeks to understand the spread of disease at a population rather than individual level. In this understanding, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______293::8320ea5f42dbba9aa73f22c995921032
https://hdl.handle.net/2123/23410
https://hdl.handle.net/2123/23410
Supplemental methods, results, and figures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6433c664ab8837a155f5ce657885d98c
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