Articles with public access mandates - Denis MollisonLearn more
Available somewhere: 13
Modeling infectious disease dynamics in the complex landscape of global health
H Heesterbeek, RM Anderson, V Andreasen, S Bansal, D De Angelis, ...
Science 347 (6227), aaa4339, 2015
Mandates: US National Institutes of Health, UK Engineering and Physical Sciences …
Five challenges for spatial epidemic models
S Riley, K Eames, V Isham, D Mollison, P Trapman
Epidemics 10, 68-71, 2015
Mandates: US National Institutes of Health, Swedish Research Council, UK Medical …
Seven challenges for metapopulation models of epidemics, including households models
F Ball, T Britton, T House, V Isham, D Mollison, L Pellis, GS Tomba
Epidemics 10, 63-67, 2015
Mandates: UK Engineering and Physical Sciences Research Council
Key questions for modelling COVID-19 exit strategies
RN Thompson, TD Hollingsworth, V Isham, D Arribas-Bel, B Ashby, ...
Proceedings of the Royal Society B 287 (1932), 20201405, 2020
Mandates: Bill & Melinda Gates Foundation, US National Institutes of Health, Swedish …
The clinico-radiological paradox of cognitive function and MRI burden of white matter lesions in people with multiple sclerosis: A systematic review and meta-analysis
D Mollison, R Sellar, M Bastin, D Mollison, S Chandran, J Wardlaw, ...
PloS one 12 (5), e0177727, 2017
Mandates: Wellcome Trust
Five challenges for stochastic epidemic models involving global transmission
T Britton, T House, AL Lloyd, D Mollison, S Riley, P Trapman
Epidemics 10, 54-57, 2015
Mandates: US National Institutes of Health, Swedish Research Council, UK Engineering …
Commentary on the use of the reproduction number R during the COVID-19 pandemic
C Vegvari, S Abbott, F Ball, E Brooks-Pollock, R Challen, BS Collyer, ...
Statistical Methods in Medical Research 31 (9), 1675-1685, 2022
Mandates: US National Institutes of Health, Canadian Institutes of Health Research …
Challenges in modelling infectious disease dynamics: preface
JO Lloyd-Smith, D Mollison, CJE Metcalf, P Klepac, JAP Heesterbeek
Epidemics, 2015
Mandates: US National Institutes of Health, UK Engineering and Physical Sciences …
Modelling: understanding pandemics and how to control them
G Marion, L Hadley, V Isham, D Mollison, J Panovska-Griffiths, L Pellis, ...
Epidemics 39, 100588, 2022
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust, UK …
Challenges on the interaction of models and policy for pandemic control
L Hadley, P Challenor, C Dent, V Isham, D Mollison, DA Robertson, ...
Epidemics 37, 100499, 2021
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust
Getting the most out of maths: How to coordinate mathematical modelling research to support a pandemic, lessons learnt from three initiatives that were part of the COVID-19 …
CE Dangerfield, ID Abrahams, C Budd, M Butchers, ME Cates, ...
Journal of theoretical biology 557, 111332, 2023
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Eight challenges for stochastic epidemic models involving global transmission
T Britton, T House, AL Lloyd, D Mollison, S Riley, P Trapman
Mandates: US National Institutes of Health, Swedish Research Council, UK Engineering …
Challenges for stochastic epidemic models involving global transmission
T Britton, T House, A Lloyd, D Mollison, S Riley, P Trapman
Epidemics, 2014
Mandates: US National Institutes of Health, Swedish Research Council, UK Engineering …
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