Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Denis Mollison"'
Publikováno v:
Epidemics, Vol 40, Iss , Pp 100621- (2022)
Externí odkaz:
https://doaj.org/article/bbf56cca829a4af180194f46c8089f3c
Autor:
Glenn Marion, Liza Hadley, Valerie Isham, Denis Mollison, Jasmina Panovska-Griffiths, Lorenzo Pellis, Gianpaolo Scalia Tomba, Francesca Scarabel, Ben Swallow, Pieter Trapman, Daniel Villela
Publikováno v:
Epidemics, Vol 39, Iss , Pp 100588- (2022)
New disease challenges, societal demands and better or novel types of data, drive innovations in the structure, formulation and analysis of epidemic models. Innovations in modelling can lead to new insights into epidemic processes and better use of a
Externí odkaz:
https://doaj.org/article/bac816c2b5cc4eea8461c251fcf25947
Autor:
Liza Hadley, Peter Challenor, Chris Dent, Valerie Isham, Denis Mollison, Duncan A. Robertson, Ben Swallow, Cerian R. Webb
Publikováno v:
Epidemics, Vol 37, Iss , Pp 100499- (2021)
The COVID-19 pandemic has seen infectious disease modelling at the forefront of government decision-making. Models have been widely used throughout the pandemic to estimate pathogen spread and explore the potential impact of different intervention st
Externí odkaz:
https://doaj.org/article/566910ba037048c7ad24bdc8141a1cd0
Publikováno v:
Epidemics, Vol 10, Iss C, Pp 68-71 (2015)
Infectious disease incidence data are increasingly available at the level of the individual and include high-resolution spatial components. Therefore, we are now better able to challenge models that explicitly represent space. Here, we consider five
Externí odkaz:
https://doaj.org/article/e9835a5b1a764c4f9d2078396c5072dd
Autor:
Frank Ball, Tom Britton, Thomas House, Valerie Isham, Denis Mollison, Lorenzo Pellis, Gianpaolo Scalia Tomba
Publikováno v:
Epidemics, Vol 10, Iss C, Pp 63-67 (2015)
This paper considers metapopulation models in the general sense, i.e. where the population is partitioned into sub-populations (groups, patches,...), irrespective of the biological interpretation they have, e.g. spatially segregated large sub-populat
Externí odkaz:
https://doaj.org/article/ec2cf12b75e54382b3682cafa648744b
Publikováno v:
Epidemics, Vol 10, Iss C, Pp 54-57 (2015)
The most basic stochastic epidemic models are those involving global transmission, meaning that infection rates depend only on the type and state of the individuals involved, and not on their location in the population. Simple as they are, there are
Externí odkaz:
https://doaj.org/article/60d06dfbba384f42b9c8647f04ad6cc2
Autor:
Daisy Mollison, Robin Sellar, Mark Bastin, Denis Mollison, Siddharthan Chandran, Joanna Wardlaw, Peter Connick
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0177727 (2017)
BACKGROUND:Moderate correlation exists between the imaging quantification of brain white matter lesions and cognitive performance in people with multiple sclerosis (MS). This may reflect the greater importance of other features, including subvisible
Externí odkaz:
https://doaj.org/article/1950358382674f30a575a674405602cc
Autor:
Ciara E. Dangerfield, I. David Abrahams, Chris Budd, Matt Butchers, Michael E. Cates, Alan R. Champneys, Christine S.M. Currie, Jessica Enright, Julia R. Gog, Alain Goriely, T. Déirdre Hollingsworth, Rebecca B. Hoyle, null INI Professional Services, Valerie Isham, Joanna Jordan, Maha H. Kaouri, Kostas Kavoussanakis, Jane Leeks, Philip K. Maini, Christie Marr, Clare Merritt, Denis Mollison, Surajit Ray, Robin N. Thompson, Alexandra Wakefield, Dawn Wasley
In March 2020 mathematics became a key part of the scientific advice to the UK government on the pandemic response to COVID-19. Mathematical and statistical modelling provided critical information on the spread of the virus and the potential impact o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cfe5c1d7b5ecfc6e559c76b70f94df5
https://ora.ox.ac.uk/objects/uuid:cec8c330-853c-4036-a751-05b62c6bfbe9
https://ora.ox.ac.uk/objects/uuid:cec8c330-853c-4036-a751-05b62c6bfbe9
Autor:
Carolin, Vegvari, Sam, Abbott, Frank, Ball, Ellen, Brooks-Pollock, Robert, Challen, Benjamin S, Collyer, Ciara, Dangerfield, Julia R, Gog, Katelyn M, Gostic, Jane M, Heffernan, T Déirdre, Hollingsworth, Valerie, Isham, Eben, Kenah, Denis, Mollison, Jasmina, Panovska-Griffiths, Lorenzo, Pellis, Michael G, Roberts, Gianpaolo, Scalia Tomba, Robin N, Thompson, Pieter, Trapman
Publikováno v:
Statistical methods in medical research. 31(9)
Since the beginning of the COVID-19 pandemic, the reproduction number [Formula: see text] has become a popular epidemiological metric used to communicate the state of the epidemic. At its most basic, [Formula: see text] is defined as the average numb
Autor:
T. Déirdre Hollingsworth, Michael G. Roberts, Carolin Vegvari, Ellen Brooks-Pollock, Jasmina Panovska-Griffiths, Julia R. Gog, Eben Kenah, Robin N Thompson, Frank Ball, Ciara Dangerfield, Gianpaolo Scalia Tomba, Jane M. Heffernan, Robert Challen, Sam Abbott, Valerie Isham, Pieter Trapman, Lorenzo Pellis, Benjamin S Collyer, Katelyn M. Gostic, Denis Mollison
Publikováno v:
Vegvari, C, Abbott, S, Ball, F, Brooks-Pollock, E, Challen, R, Collyer, B S, Dangerfield, C, Gog, J R, Gostic, K M, Heffernan, J M, Hollingsworth, T D, Isham, V, Kenah, E, Mollison, D, Panovska-Griffiths, J, Pellis, L, Roberts, M G, Tomba, G S, Thompson, R N & Trapman, P 2021, ' Commentary on the use of the reproduction number R during the COVID-19 pandemic ', Statistical Methods in Medical Research . https://doi.org/10.1177/09622802211037079
Funder: NHS Global Digital Exemplar programme
Funder: James S. McDonnell Foundation; FundRef: https://doi.org/10.13039/100000913
Funder: NIHR Health Protection Research Unit in Behavioural Science and Evaluation at the University of Bristol
Funder: James S. McDonnell Foundation; FundRef: https://doi.org/10.13039/100000913
Funder: NIHR Health Protection Research Unit in Behavioural Science and Evaluation at the University of Bristol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac17e7227a3de01cfc1a7b2af9c7741d
https://researchonline.lshtm.ac.uk/id/eprint/4664652/1/09622802211037079.pdf
https://researchonline.lshtm.ac.uk/id/eprint/4664652/1/09622802211037079.pdf