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Posts
SBIDER Podcast Hub
Published:
Pint of Science 2022
Published:
SMB 2019
Published:
IDDconf 2018
Published:
ECMTB 2018
Published:
SMB 2018
Published:
activeresearch
invitedtalks
Helsinki Summer School on Mathematical Ecology and Evolution 2014: Dynamics of Infectious Diseases
Event overview
Modelling influenza A (H5N1) in South and Southeast Asia
Event webpage
Modelling the epidemiological implications for SARS-CoV-2 of Christmas household bubbles in England in December 2020
Talk content
My talk overviewed a modelling study originally conducted in late 2020 within the context of the COVID-19 pandemic. The work assessed the epidemiological impact of household bubble strategies over the Christmas period, which would allow extending contacts beyond the immediate household.
Incorporating heterogeneity in farmer disease control behaviour into a livestock disease transmission model
Talk content
My talk summarised a recent study from the Farmer-led Epidemic and Endemic Disease-management (FEED) project, exploring the role of heterogeneous farmer behaviour to inform epidemiological models of livestock vaccination.
RAMP Outreach Innovation Awards and the SBIDER Podcast Hub
Event webpage
Details about the workshop and the full programme are available here: https://gateway.newton.ac.uk/event/tgm135
Epidemiological modelling with behavioural considerations and to inform policy making
Talk content
My talk summarised two studies. The first overviewed a modelling study originally conducted in late 2020 within the context of the COVID-19 pandemic. The work assessed the epidemiological impact of household bubble strategies over the Christmas period, which would allow extending contacts beyond the immediate household. For more on this study, see the associated paper in the Journal of Theoretical Biology.
Incorporating heterogeneity in farmer disease control behaviour into a livestock disease transmission model
Event overview
I was an invited speaker at this two-day workshop on Infectious Disease Modelling with Human Behaviour, held as part of the IMMUNE project. The IMMUNE project, led by Prof. Alessia Melegaro at Bocconi University (Milan, Italy), aims to provide an interdisciplinary modelling framework that will explore the dynamics of human behaviour on infections’ spread (with a particular focus on vaccination behaviour), through the lens of social sciences.
Modelling symptom propagation in pathogens infecting via the respiratory tract
Talk content
This talk summarised two studies related to symptom propagation. The first was a scoping review on symptom propagation in respiratory pathogens of public health concern. For more on this study, see the associated publication in the Journal of the Royal Society Interface.
posters
Modelling influenza at the human-animal interface
Event webpage
Spreading of healthy mood in adolescent social networks
Event webpage
Spatio-temporal modelling of Leishmania infantum infection among domestic dogs in rural Brazil
Event webpage
A network modelling approach to assess non-pharmaceutical disease controls against SARS-CoV-2 in a worker population
Event webpage
Incorporating heterogeneity in farmer disease control behaviour into a livestock disease transmission model
Event webpage
preprints
Short-term forecasts to inform the response to the COVID-19 epidemic in the UK
S Funk, ... , Edward M Hill, ... , et al. (2020). "Short-term forecasts to inform the response to the COVID-19 epidemic in the UK." medRxiv. doi:10.1101/2020.11.11.20220962.
Early epidemiological signatures of novel SARS-CoV-2 variants: establishment of B.1.617.2 in England
R Challen, ... , Edward M Hill, ... , et al. (2021). "Early epidemiological signatures of novel SARS-CoV-2 variants: establishment of B.1.617.2 in England." medRxiv. doi:10.1101/2021.06.05.21258365.
Waning, Boosting and a Path to Endemicity for SARS-CoV-2
Matt J Keeling, Amy C Thomas, Edward M Hill, Robin N Thompson, Louise Dyson, Michael J Tildesley, Sam Moore. (2021). "Waning, Boosting and a Path to Endemicity for SARS-CoV-2." medRxiv. doi:10.1101/2021.11.05.21265977.
Short-term Projections based on Early Omicron Variant Dynamics in England
Matt J Keeling, Ellen Brooks-Pollock, Robert J Challen, Leon Danon, Louise Dyson, Julia R Gog, Laura Guzman-Rincon, Edward M Hill, Lorenzo M Pellis, Jonathan M Read, Michael J Tildesley. (2021). "Short-term Projections based on Early Omicron Variant Dynamics in England." medRxiv. doi:10.1101/2021.12.30.21268307.
Scenario modelling for diminished influenza seasons during 2020/2021 and 2021/2022 in England
Edward M Hill, Matt J Keeling. (2022). "Scenario modelling for diminished influenza seasons during 2020/2021 and 2021/2022 in England." medRxiv. doi:10.1101/2022.10.27.22281628.
Unifying human infectious disease models and real-time awareness of population- and subpopulation-level intervention effectiveness
Rachel L Seibel, Michael J Tildesley, Edward M Hill. (2024). "Unifying human infectious disease models and real-time awareness of population- and subpopulation-level intervention effectiveness." medRxiv. doi:10.1101/2024.01.17.24301344.
Introducing a framework for within-host dynamics and mutations modelling of H5N1 influenza infection in humans
Daniel Higgins, Joshua Looker, Robert Sunnucks, Jonathan Carruthers, Thomas Finnie, Matt J Keeling, Edward M Hill. (2024). "Introducing a framework for within-host dynamics and mutations modelling of H5N1 influenza infection in humans." medRxiv. doi:10.1101/2024.09.01.24312235.
Cost-effectiveness of routine COVID-19 adult vaccination programmes in England
Matt J Keeling, Edward M Hill, Stavros Petrou, Phuong Bich Tran, May Ee Png, Sophie Staniszewska, Corinna Clark, Katie Hassel, Julia Stowe, Nick Andrews. (2024). "Cost-effectiveness of routine COVID-19 adult vaccination programmes in England." medRxiv. doi:10.1101/2024.11.08.24316972.
Probability of Extinction and Peak Time for Multi-Type Epidemics with Application to Covid-19 Variants of Concern
Jacob Curran-Sebastian, Louise Dyson, Edward M Hill, Lorenzo Pellis, Ian Hall, Thomas House. (2024). "Cost-effectiveness of routine COVID-19 adult vaccination programmes in England." Available at SSRN: https://ssrn.com/abstract=5021345.
priorresearch
publications
Spreading of healthy mood in adolescent social networks
Edward M. Hill, Frances E. Griffiths, Thomas House. (2015). "Spreading of healthy mood in adolescent social networks." Proceedings of the Royal Society B, 282(1813): 20151180. doi:10.1098/rspb.2015.1180.
Modelling H5N1 in Bangladesh across spatial scales: Model complexity and zoonotic transmission risk
Edward M Hill, Thomas House, Madhur S. Dhingra, Wantanee Kalpravidh, Subhash Morzaria, Muzaffar G. Osmani, Mat Yamage, Xiangming Xiao, Marius Gilbert, Michael J.Tildesley. (2017). "Modelling H5N1 in Bangladesh across spatial scales: Model complexity and zoonotic transmission risk." Epidemics, 20C: 37-55. doi:10.1016/j.epidem.2017.02.007.
Evidence for history-dependence of influenza pandemic emergence
Edward M Hill, Michael J. Tildesley, Thomas House. (2017). "Evidence for history-dependence of influenza pandemic emergence." Scientific Reports, 7: 43623. doi:10.1038/srep43623.
Spreading of components of mood in adolescent social networks
Robert W. Eyre, Thomas House, Edward M Hill, Frances E. Griffiths. (2017). "Spreading of components of mood in adolescent social networks." Royal Society Open Science, 4(9): 170336. doi:10.1098/rsos.170336.
How predictable are flu pandemics?
Edward M Hill, Michael J. Tildesley, Thomas House. (2017). "How predictable are flu pandemics?" Significance, 14(6): 30-35. doi:10.1111/j.1740-9713.2017.01090.x
The impact of surveillance and control on highly pathogenic avian influenza outbreaks in poultry in Dhaka division, Bangladesh
Edward M Hill, Thomas House, Madhur S. Dhingra, Wantanee Kalpravidh, Subhash Morzaria, Muzaffar G. Osmani, Eric Brum, Mat Yamage, Md. A. Kalam, Diann J. Prosser, John Y. Takekawa, Xiangming Xiao, Marius Gilbert, Michael J.Tildesley. (2018). "The impact of surveillance and control on highly pathogenic avian influenza outbreaks in poultry in Dhaka division, Bangladesh." PLoS Computational Biology, 14(9): e1006439. doi:10.1371/journal.pcbi.1006439.
Spatio-temporal modelling of Leishmania infantum infection among domestic dogs: a simulation study and sensitivity analysis applied to rural Brazil
Elizabeth Buckingham-Jeffery*, Edward M Hill*, Samik Datta, Erin Dilger, Orin Courtenay. (2019). "Spatio-temporal modelling of Leishmania infantum infection among domestic dogs: a simulation study and sensitivity analysis applied to rural Brazil." Parasites & Vectors, 12: 215. doi:10.1186/s13071-019-3430-y.
Seasonal influenza: Modelling approaches to capture immunity propagation
Edward M Hill, Stavros Petrou, Simon de Lusignan, Ivelina Yonova, Matt J. Keeling. (2019). "Seasonal influenza: Modelling approaches to capture immunity propagation." PLoS Computational Biology, 15(10): e1007096. doi:10.1371/journal.pcbi.1007096.
Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation
Edward M Hill, Stavros Petrou, Henry Forster, Simon de Lusignan, Ivelina Yonova, Matt J. Keeling. (2020). "Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation." PLoS Computational Biology, 16(10): e1008278. doi:10.1371/journal.pcbi.1008278.
Developing a Framework for Public Involvement in Mathematical and Economic Modelling: Bringing New Dynamism to Vaccination Policy Recommendations
Sophie Stanizewska, Edward M Hill, Richard Grant, Peter Grove, Jarina Porter, Tinevimbo Shiri, Sue Tulip, Jane Whitehurst, Claire Wright, Samik Datta, Stavros Petrou, Matt J. Keeling. (2021). "Developing a Framework for Public Involvement in Mathematical and Economic Modelling: Bringing New Dynamism to Vaccination Policy Recommendations." Patient, 14(4): 435-445. doi:10.1007/s40271-020-00476-x.
Predictions of COVID-19 dynamics in the UK: short-term forecasting and analysis of potential exit strategies
Matt J. Keeling, Edward M Hill*, Erin E. Gorsich, Bridget Penman, Glen Guyver-Fletcher, Alex Holmes, Trystan Leng, Hector McKimm, Massimiliano Tamborrino, Louise Dyson*, Michael Tildesley*. (2021). "Predictions of COVID-19 dynamics in the UK: short-term forecasting and analysis of potential exit strategies." PLoS Computational Biology, 17(1): e1008619. doi:10.1371/journal.pcbi.1008619.
Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study
Sam Moore, Edward M Hill, Michael J Tildesley, Louise Dyson, Matt J Keeling.(2021). "Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study." Lancet Infectious Diseases, 21(6): 793-802. doi:10.1016/S1473-3099(21)00143-2.
SARS-CoV-2 incidence and vaccine escape
Robin N Thompson, Edward M Hill, Julia R Gog. (2021). "SARS-CoV-2 incidence and vaccine escape." Lancet Infectious Diseases, 21(7): 913-914. doi:10.1016/S1473-3099(21)00202-4.
Modelling optimal vaccination strategy for SARS-CoV-2 in the UK
Sam Moore, Edward M Hill, Louise Dyson, Michael J Tildesley, Matt J Keeling.(2021). "Modelling optimal vaccination strategy for SARS-CoV-2 in the UK." PLoS Computational Biology, 17(5): e1008849. doi:10.1371/journal.pcbi.1008849.
The impact of school reopening on the spread of COVID-19 in England
Matt J. Keeling, Michael Tildesley*, Benjamin D Atkins, Bridget Penman, Emma Southall, Glen Guyver-Fletcher, Alex Holmes, Hector McKimm, Erin Gorsich, Edward M Hill*, Louise Dyson*. (2021). "The impact of school reopening on the spread of COVID-19 in England." Philosophical Transactions of the Royal Society B, 376(1829): 20200261. doi:10.1098/rstb.2020.0261.
An analysis of school absences in England during the Covid-19 pandemic
Emma R Southall, Alex Holmes, Edward M Hill, Benjamin D Atkins, Trystan Leng, Robin N Thompson, Louise Dyson, Matt J Keeling, Michael J Tildesley. (2021). "An analysis of school absences in England during the Covid-19 pandemic." BMC Medicine, 19: 137. doi:10.1186/s12916-021-01990-x.
A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2
Edward M Hill*, Benjamin D. Atkins*, Matt J. Keeling, Louise Dyson, Michael J Tildesley. (2021). "A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2." PLoS Computational Biology, 17(6): e1009058. doi:10.1371/journal.pcbi.1009058.
Modelling SARS-CoV-2 transmission in a UK university setting
Edward M Hill, Benjamin D. Atkins, Matt J. Keeling, Michael J Tildesley, Louise Dyson. (2021). "Modelling SARS-CoV-2 transmission in a UK university setting. " Epidemics, 36: e1009058. doi:10.1371/journal.pcbi.1009058.
Vaccine escape in a heterogeneous population: insights for SARS-CoV-2 from a simple model
Julia R Gog, Edward M Hill, Leon Danon, Robin N Thompson. (2021). "Vaccine escape in a heterogeneous population: insights for SARS-CoV-2 from a simple model. " Royal Society Open Science, 8(7): 210530. doi:10.1098/rsos.210530.
SARS-CoV-2 infection in UK university students: lessons from September–December 2020 and modelling insights for future student return
Jessica Enright*, Edward M Hill*, Helena B Stage, Kirsty J Bolton, Emily J Nixon, Emma Fairbanks, Maria L Tang, Ellen Brooks-Pollock, Louise Dyson, Chris J Budd, Rebecca B Hoyle, Lars Schewe, Julia R Gog, Michael J Tildesley. (2021). "SARS-CoV-2 infection in UK university students: Lessons from September-December 2020 and modelling insights for future student return." Royal Society Open Science, 8(8): 210310. doi:10.1098/rsos.210310.
Comparison between one and two dose SARS-CoV-2 vaccine prioritization for a fixed number of vaccine doses
Edward M. Hill, Matt J. Keeling. (2021). "Comparison between one and two dose SARS-CoV-2 vaccine prioritization for a fixed number of vaccine doses." Journal of the Royal Society Interface, 18(182): 20210214. doi:10.1098/rsif.2021.0214.
Possible future waves of SARS-CoV-2 infection generated by variants of concern with a range of characteristics
Louise Dyson*, Edward M Hill* , Sam Moore, Jacob Curran-Sebastian, Michael J Tildesley, Katrina A Lythgoe, Thomas House, Lorenzo Pellis, Matt J Keeling. (2021). "Possible future waves of SARS-CoV-2 infection generated by variants of concern with a range of characteristics." Nature Communications, 12: 5730. doi:10.1038/s41467-021-25915-7.
Precautionary breaks: Planned, limited duration circuit breaks to control the prevalence of SARS-CoV-2 and the burden of COVID-19 disease
Matt J. Keeling, Glen Guyver-Fletcher, Alex Holmes, Louise Dyson, Michael J Tildesley, Edward M Hill, Graham F Medley. (2021). "Precautionary breaks: Planned, limited duration circuit breaks to control the prevalence of SARS-CoV-2 and the burden of COVID-19 disease." Epidemics, 37: 100526. doi:10.1016/j.epidem.2021.100526.
Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number
Matt J Keeling, Louise Dyson*, Glen Guyver Fletcher, Alex Holmes, Malcolm G Semple, ISARIC4C Investigators, Michael J Tildesley*, Edward M Hill*. (2022). "Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number." Statistical Methods in Medical Research, 31(9): 1716-1737. doi:10.1177/09622802211070257.
Cattle farmer psychosocial profiles and their association with control strategies for bovine viral diarrhea
Naomi S Prosser, Martin J Green, Eamonn Ferguson, Michael J Tildesley, Edward M Hill, Matt J Keeling, Jasmeet Kaler. (2022). "Cattle farmer psychosocial profiles and their association with control strategies for bovine viral diarrhea." Journal of Dairy Science, 105(4): 3559-3573. doi:10.3168/jds.2021-21386.
Quantifying within-school SARS-CoV-2 transmission and the impact of lateral flow testing in secondary schools in England
Trystan Leng, Edward M Hill, Alex Holmes, Emma Southall, Robin N Thompson, Michael J Tildesley, Matt J Keeling, Louise Dyson. (2022). "Quantifying within-school SARS-CoV-2 transmission and the impact of lateral flow testing in secondary schools in England." Nature Communications, 13: 1106. doi:10.1038/s41467-022-28731-9.
Assessing the impact of lateral flow testing strategies on within-school SARS-CoV-2 transmission and absences: A modelling study
Trystan Leng, Edward M Hill, Robin N Thompson, Michael J Tildesley, Matt J Keeling, Louise Dyson. (2022). "Assessing the impact of lateral flow testing strategies on within-school SARS-CoV-2 transmission and absences: A modelling study." PLoS Computational Biology, 18(5): e1010158. doi:10.1371/journal.pcbi.1010158.
The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications
Trystan Leng, Edward M Hill, Matt J Keeling, Michael J Tildesley, Robin N Thompson. (2021). "The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications." Communications Medicine, 2: 74. doi:10.1038/s43856-022-00143-2.
Modelling livestock infectious disease control policy under differing social perspectives on vaccination behaviour
Edward M Hill, Naomi S Prosser, Eamonn Ferguson, Jasmeet Kaler, Martin J Green, Matt J Keeling, Michael J Tildesley. (2022). "Modelling livestock infectious disease control policy under differing social perspectives on vaccination behaviour." PLoS Computational Biology, 18(7): e1010235. doi:10.1371/journal.pcbi.1010235.
Descriptive analysis of national bovine viral diarrhoea test data in England (2016–2020)
Naomi S Prosser*, Edward M Hill*, Derek Armstrong, Lorna Gow, Michael J Tildesley, Matt J Keeling, Jasmeet Kaler, Eamonn Ferguson, Martin J Green. (2022). "BVDFree England data analysis: descriptive analysis of national bovine viral diarrhoea test data in England." Veterinary Record, 191(5): e1854. doi: 10.1002/vetr.1854.
Optimal health and economic impact of non-pharmaceutical intervention measures prior and post vaccination in England: a mathematical modelling study
Michael J Tildesley, Anna Vassall, Steven Riley, Mark Jit, Frank Sandmann, Edward M Hill, Robin N Thompson, Benjamin D Atkins, John Edmunds, Louise Dyson, Matt J Keeling. (2022). "Optimal health and economic impact of non-pharmaceutical intervention measures prior and post vaccination in England: a mathematical modelling study." Royal Society Open Science, 9(8): 211746. doi:10.1098/rsos.211746.
Comparison of the 2021 COVID-19 roadmap projections against public health data in England
Matt J Keeling, Louise Dyson, Michael J Tildesley, Edward M Hill, Sam Moore. (2022). "Comparison of the 2021 COVID-19 roadmap projections against public health data in England." Nature Communications, 13: 4924. doi:10.1038/s41467-022-31991-0.
Modelling the epidemiological implications for SARS-CoV-2 of Christmas household bubbles in England
Edward M Hill. (2023). "Modelling the epidemiological implications for SARS-CoV-2 of Christmas household bubbles in England." Journal of Theoretical Biology, 557: 111331. doi: 10.1016/j.jtbi.2022.111331.
Retrospectively modeling the effects of increased global vaccine sharing on the COVID-19 pandemic
Sam Moore, Edward M Hill, Michael J Tildesley, Louise Dyson, Matt J Keeling. (2022). "Retrospectively modeling the effects of increased global vaccine sharing on the COVID-19 pandemic." Nature Medicine, 28: 2416-2423. doi:10.1038/s41591-022-02064-y.
Coughs, colds and "freshers' flu" survey in the University of Cambridge, 2007-2008
Ken TD Eames, Maria L Tang, Edward M Hill, Michael J Tildesley, Jonathan M Read, Matt J Keeling, Julia R Gog. (2021). "Coughs, colds and "freshers' flu" survey in the University of Cambridge, 2007-2008." Epidemics, 42: 100659. doi:10.1016/j.epidem.2022.100659.
The impacts of SARS-CoV-2 vaccine dose separation and targeting on the COVID-19 epidemic in England
Matt J Keeling, Sam Moore, Bridget Penman, Edward M Hill. (2023). "The impacts of SARS-CoV-2 vaccine dose separation and targeting on the COVID-19 epidemic in England." Nature Communications, 14: 740. doi:10.1038/s41467-023-35943-0.
Bayesian estimation of real-time epidemic growth rates using Gaussian processes: local dynamics of SARS-CoV-2 in England
Laura Guzman-Rincon, Edward M Hill, Louise Dyson, Michael J Tildesley, Matt J Keeling. (2023). "Bayesian estimation of real-time epidemic growth rates using Gaussian processes: local dynamics of SARS-CoV-2 in England." Journal of the Royal Statistical Society Series C: Applied Statistics, qlad056. doi:10.1093/jrsssc/qlad056.
Emergence of SARS-CoV-2 Delta Variant and Effect of Nonpharmaceutical Interventions, British Columbia, Canada
Y.L. Elaine Chan, Michael A. Irvine, Natalie Prystajecky, Hind Sbihi, Marsha Taylor, Yayuk Joffres, Andrea Schertzer, Caren Rose, Louise Dyson, Edward M. Hill, Michael Tildesley, John R. Tyson, Linda M.N. Hoang, Eleni Galanis. (2023). "Emergence of SARS-CoV-2 Delta Variant and Effect of Nonpharmaceutical Interventions, British Columbia, Canada." Emerging Infectious Diseases. 29(10): 1999-2007. doi:10.3201/eid2910.230055.
Incorporating heterogeneity in farmer disease control behaviour into a livestock disease transmission model
Edward M Hill, Naomi S Prosser, Paul E Brown, Eamonn Ferguson, Martin J Green, Jasmeet Kaler, Matt J Keeling, Michael J Tildesley. (2023). "Incorporating heterogeneity in farmer disease control behaviour into a livestock disease transmission model." Preventive Veterinary Medicine. 219: 106019. doi:10.1016/j.prevetmed.2023.106019.
Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic
K Sherratt, ... , Edward M Hill, ... , et al. (2024). "Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic." Wellcome Open Research, 9: 12. doi:10.12688/wellcomeopenres.19601.1.
Epidemiological and health economic implications of symptom propagation in respiratory pathogens: A mathematical modelling investigation
Phoebe Asplin, Matt J Keeling, Rebecca Mancy, Edward M Hill. (2024). "Epidemiological and health economic implications of symptom propagation in respiratory pathogens: A mathematical modelling investigation." PLoS Computational Biology, 20(5): e1012096. doi:10.1371/journal.pcbi.1012096.
A simulation-based approach for estimating the time-dependent reproduction number from temporally aggregated disease incidence time series data
Isaac Ogi-Gittins, William Hart, Jiao Song, Rebecca Nash, Jonathan Polonsky, Anne Cori, Edward M Hill, Robin N Thompson. (2024). "A simulation-based approach for estimating the time-dependent reproduction number from temporally aggregated disease incidence time series data." Epidemics, 47: 100773. doi:10.1016/j.epidem.2024.100773.
Symptom propagation in respiratory pathogens of public health concern: a review of the evidence
Phoebe Asplin, Rebecca Mancy, Thomas Finnie, Fergus Cumming, Matt J Keeling, Edward M Hill. (2024). "Symptom propagation in respiratory pathogens of public health concern: a review of the evidence." Journal of the Royal Society Interface, 21: 20240009. doi:10.1098/rsif.2024.0009.
Prioritising older individuals for COVID-19 booster vaccination leads to optimal public health outcomes in a range of socio-economic settings.
Ioana Bouros, Edward M Hill, Matt J. Keeling, Sam Moore, Robin N. Thompson. (2024). "Prioritising older individuals for COVID-19 booster vaccination leads to optimal public health outcomes in a range of socio-economic settings." PLoS Computational Biology, 20(8): e1012309. doi:10.1371/journal.pcbi.1012309.
The time between symptom onset and various clinical outcomes: a statistical analysis of MERS-CoV patients in Saudi Arabia
Yehya M. Althobaity, Muhammad H. Alkhudaydi, Edward M Hill, Robin N Thompson, Michael J Tildesley. (2024). "Optimal health and economic impact of non-pharmaceutical intervention measures prior and post vaccination in England: a mathematical modelling study." Royal Society Open Science, 11: 240094. doi:10.1098/rsos.240094.
Integrating human behaviour and epidemiological modelling: unlocking the remaining challenges
Edward M Hill, Matthew Ryan, David Haw, Mark P Lynch, Ruth McCabe, Alice E. Milne, Matthew S. Turner, Kavita Vedhara, Fanqi Zeng, Martine J Barons, Emily J Nixon, Stephen Parnell, Kirsty J Bolton. (2024). "Integrating human behaviour and epidemiological modelling: unlocking the remaining challenges." Mathematics in Medical and Life Sciences, 1(1): 2429479. doi:10.1080/29937574.2024.2429479.
talks
Modelling influenza at the human-animal interface
Event webpage
Analysis of historic pandemic influenza outbreaks
Event webpage
Modelling H5N1 influenza in Bangladesh across spatial scales: model complexity and zoonotic transmission risk
Event webpage
Modelling influenza A at the human-animal interface
Event webpage
A comparison between one and two dose SARS-CoV-2 vaccine prioritisation in England for a fixed number of vaccine doses
Event webpage
Enhancing modelling impact through collaboration: The case study of SARS-CoV-2 infection in UK university students
Event webpage
Possible future waves of SARS-CoV-2 infection generated by variants of concern with a range of characteristics
Event webpage
Modelling livestock infectious disease control policy under differing perspectives on vaccination behaviour
Event webpage
Modelling the epidemiological implications for SARS-CoV-2 of Christmas household bubbles in England
Event overview
The British Applied Mathematics Colloquium (BAMC) is the largest applied mathematics conference in the UK bringing together students, academics and industry professionals to discuss recent advances within the field. The 2024 edition was held at Newcastle University.