Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Nathan Harding"'
Publikováno v:
Royal Society Open Science, Vol 9, Iss 7 (2022)
Computational models of infectious disease can be broadly categorized into two types: individual-based (agent-based) or compartmental models. While there are clear conceptual distinctions between these methodologies, a fair comparison of the approach
Externí odkaz:
https://doaj.org/article/0d5ff29e36704c07a4fe4a26a8c66693
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
There is ongoing debate about the effective combination of strategies for COIVD-19 control. Here, the authors use an agent-based model to quantify and compare several intervention strategies, and identify minimal levels of social distancing complianc
Externí odkaz:
https://doaj.org/article/47cc401f09b14293afdbbc0ee5487dca
Publikováno v:
Entropy, Vol 22, Iss 2, p 133 (2020)
We investigated phase transitions in spatial connectivity during influenza pandemics, relating epidemic thresholds to the formation of clusters defined in terms of average infection. We employed a large-scale agent-based model of influenza spread at
Externí odkaz:
https://doaj.org/article/9bded73137314f2ca6fb0c7112a7950f
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80aec56d0ca4b3cc334bb708cd9d4452
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Nature Communications, Vol 11, Iss 1, Pp 1-13 (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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d57dd420d736545b79f4e2bc51aebe37
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Understanding the impact of behavior dependent mobility in the spread of epidemics and social disorders is an outstanding problem in computational epidemiology. We present a modelling approach for the study of mobility that adapts dynamically accordi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edd1986b31f519919fdde8fa410c0aad
https://doi.org/10.1038/s41598-020-64183-1
https://doi.org/10.1038/s41598-020-64183-1
Publikováno v:
J R Soc Interface
When new, highly infectious strains of influenza emerge, global pandemics can occur before an effective vaccine is developed. Without a strain-specific vaccine, pandemics can only be mitigated by employing combinations of low-efficacy pre-pandemic va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21c73f55dde4152a0a852b627dd3a582
https://pubmed.ncbi.nlm.nih.gov/32316882
https://pubmed.ncbi.nlm.nih.gov/32316882
Autor:
Mikhail Prokopenko, E. Yagmur Erten, Nathan Harding, Mahendra Piraveenan, Manoj Gambhir, Oliver M. Cliff
Publikováno v:
Simulation Modelling Practice and Theory. 87:412-431
In this paper we present Ace Mod, 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 ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::034ec005250c977df35aa1ee6d09906d
https://doi.org/10.1016/j.simpat.2018.07.005
https://doi.org/10.1016/j.simpat.2018.07.005
Publikováno v:
Entropy
Volume 22
Issue 2
Entropy, Vol 22, Iss 2, p 133 (2020)
Volume 22
Issue 2
Entropy, Vol 22, Iss 2, p 133 (2020)
We investigated phase transitions in spatial connectivity during influenza pandemics, relating epidemic thresholds to the formation of clusters defined in terms of average infection. We employed a large-scale agent-based model of influenza spread at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e9dd8c53ed3b7e06cc3ccddec133bbc
https://pubmed.ncbi.nlm.nih.gov/33285908
https://pubmed.ncbi.nlm.nih.gov/33285908