Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Ian, Vernon"'
Autor:
Danny Scarponi, Andrew Iskauskas, Rebecca A. Clark, Ian Vernon, Trevelyan J. McKinley, Michael Goldstein, Christinah Mukandavire, Arminder Deol, Chathika Weerasuriya, Roel Bakker, Richard G. White, Nicky McCreesh
Publikováno v:
Epidemics, Vol 43, Iss , Pp 100678- (2023)
Infectious disease models are widely used by epidemiologists to improve the understanding of transmission dynamics and disease natural history, and to predict the possible effects of interventions. As the complexity of such models increases, however,
Externí odkaz:
https://doaj.org/article/28468e9bcb1d4264919f4f3f0b2be757
Autor:
Michael Dunne, Hossein Mohammadi, Peter Challenor, Rita Borgo, Thibaud Porphyre, Ian Vernon, Elif E. Firat, Cagatay Turkay, Thomas Torsney-Weir, Michael Goldstein, Richard Reeve, Hui Fang, Ben Swallow
Publikováno v:
Epidemics, Vol 39, Iss , Pp 100574- (2022)
Uncertainty quantification is a formal paradigm of statistical estimation that aims to account for all uncertainties inherent in the modelling process of real-world complex systems. The methods are directly applicable to stochastic models in epidemio
Externí odkaz:
https://doaj.org/article/62d6ef86edaa41d2a00c89c1957f160b
Autor:
Ben Swallow, Paul Birrell, Joshua Blake, Mark Burgman, Peter Challenor, Luc E. Coffeng, Philip Dawid, Daniela De Angelis, Michael Goldstein, Victoria Hemming, Glenn Marion, Trevelyan J. McKinley, Christopher E. Overton, Jasmina Panovska-Griffiths, Lorenzo Pellis, Will Probert, Katriona Shea, Daniel Villela, Ian Vernon
Publikováno v:
Epidemics, Vol 38, Iss , Pp 100547- (2022)
The estimation of parameters and model structure for informing infectious disease response has become a focal point of the recent pandemic. However, it has also highlighted a plethora of challenges remaining in the fast and robust extraction of infor
Externí odkaz:
https://doaj.org/article/50579380231b42d78a4ae894b16a42e2
Autor:
Joseph Aylett-Bullock, Carolina Cuesta-Lazaro, Arnau Quera-Bofarull, Miguel Icaza-Lizaola, Aidan Sedgewick, Henry Truong, Aoife Curran, Edward Elliott, Tristan Caulfield, Kevin Fong, Ian Vernon, Julian Williams, Richard Bower, Frank Krauss
Publikováno v:
Royal Society Open Science, Vol 8, Iss 7 (2021)
We introduce June, an open-source framework for the detailed simulation of epidemics on the basis of social interactions in a virtual population constructed from geographically granular census data, reflecting age, sex, ethnicity and socio-economic i
Externí odkaz:
https://doaj.org/article/85ddf5e9b8fb4346a5949c4b1e379f5b
Autor:
Nicky McCreesh, Ioannis Andrianakis, Rebecca N. Nsubuga, Mark Strong, Ian Vernon, Trevelyan J. McKinley, Jeremy E. Oakley, Michael Goldstein, Richard Hayes, Richard G. White
Publikováno v:
BMC Infectious Diseases, Vol 17, Iss 1, Pp 1-8 (2017)
Abstract Background UNAIDS calls for fewer than 500,000 new HIV infections/year by 2020, with treatment-as-prevention being a key part of their strategy for achieving the target. A better understanding of the contribution to transmission of people at
Externí odkaz:
https://doaj.org/article/a00b142d3f1c4efd80f9ca4adce0ef31
Autor:
Nicky McCreesh, Ioannis Andrianakis, Rebecca N. Nsubuga, Mark Strong, Ian Vernon, Trevelyan J. McKinley, Jeremy E. Oakley, Michael Goldstein, Richard Hayes, Richard G. White
Publikováno v:
BMC Infectious Diseases, Vol 17, Iss 1, Pp 1-11 (2017)
Abstract Background With ambitious new UNAIDS targets to end AIDS by 2030, and new WHO treatment guidelines, there is increased interest in the best way to scale-up ART coverage. We investigate the cost-effectiveness of various ART scale-up options i
Externí odkaz:
https://doaj.org/article/6f53b8847ce34e49a4ee4f263e0f3941
Autor:
Samuel E. Jackson, Ian Vernon
Publikováno v:
Bayesian Analysis, 2023, Vol.18(1), pp.165-191 [Peer Reviewed Journal]
Emulation has been successfully applied across a wide variety of scientific disciplines for efficiently analysing computationally intensive models. We develop known boundary emulation strategies which utilise the fact that, for many computer models,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86088ee44ccaf22a0417783537853deb
http://dro.dur.ac.uk/35254/1/35254.pdf
http://dro.dur.ac.uk/35254/1/35254.pdf
Autor:
Nicky McCreesh, Ioannis Andrianakis, Rebecca N Nsubuga, Mark Strong, Ian Vernon, Trevelyan J McKinley, Jeremy E Oakley, Michael Goldstein, Richard Hayes, Richard G White
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0196480 (2018)
BACKGROUND:Uganda changed its antiretroviral therapy guidelines in 2014, increasing the CD4 threshold for antiretroviral therapy initiation from 350 cells/μl to 500 cells/μl. We investigate what effect this change in policy is likely to have on HIV
Externí odkaz:
https://doaj.org/article/5ccdb6bc3a6a4e33a8439ccce26186fb
Autor:
Camila C. S. Caiado, Helena Nandi Formentin, Michael Goldstein, Ian Vernon, Denis José Schiozer, Guilherme Daniel Avansi, Carla Janaina Ferreira
Publikováno v:
SPE Journal. 25:2119-2142
Summary When performing classic uncertainty reduction according to dynamic data, a large number of reservoir simulations need to be evaluated at high computational cost. As an alternative, we construct Bayesian emulators that mimic the dominant behav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e860bef0c2161bf8d492d50bbae44e5d
https://doi.org/10.2118/201209-pa
https://doi.org/10.2118/201209-pa
Autor:
Baishan, Hu, Weiguang, Jiang, Takayuki, Miyagi, Zhonghao, Sun, Andreas, Ekström, Christian, Forssén, Gaute, Hagen, Jason D, Holt, Thomas, Papenbrock, S Ragnar, Stroberg, Ian, Vernon
Publikováno v:
Nature physics. 18(10)
Heavy atomic nuclei have an excess of neutrons over protons, which leads to the formation of a neutron skin whose thickness is sensitive to details of the nuclear force. This links atomic nuclei to properties of neutron stars, thereby relating object
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a95cf78d37b5e29ae67c387d8adf60ba
https://pubmed.ncbi.nlm.nih.gov/36217363
https://pubmed.ncbi.nlm.nih.gov/36217363