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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.
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.
Details about the workshop and the full programme are available here: https://gateway.newton.ac.uk/event/tgm135
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.