Research outputs
Selected research outputs
- Symptom propagation in respiratory pathogens of public health concern: a review of the evidence (Journal article - 2024)
- Epidemiological and health economic implications of symptom propagation in respiratory pathogens: A mathematical modelling investigation (Journal article - 2024)
- Modelling the epidemiological implications for SARS-CoV-2 of Christmas household bubbles in England (Journal article - 2023)
- Modelling livestock infectious disease control policy under differing social perspectives on vaccination behaviour (Journal article - 2022)
- Possible future waves of SARS-CoV-2 infection generated by variants of concern with a range of characteristics (Journal article - 2021)
- SARS-CoV-2 infection in UK university students: lessons from September-December 2020 and modelling insights for future student return (Journal article - 2021)
- Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation (Journal article - 2020)
- Seasonal influenza: Modelling approaches to capture immunity propagation (Journal article - 2019)
- The impact of surveillance and control on highly pathogenic avian influenza outbreaks in poultry in Dhaka division, Bangladesh (Journal article - 2018)
- Spreading of healthy mood in adolescent social networks (Journal article - 2015)
2026
A model-based evaluation of the cost-effectiveness of paediatric and elderly vaccination against pneumococcal infection in England
Between-country differences in the psychosocial profiles of British cattle farmers
Prosser, N. S., Ferguson, E., Kaler, J., Hill, E. M., Tildesley, M. J., Keeling, M. J., & Green, M. J. (2025). Between-country differences in the psychosocial profiles of British cattle farmers. VETERINARY RECORD. doi:10.1002/vetr.5672
Modelling the adoption of Integrated Pest Management: informing policy approaches to pesticide-reduction targets.
A modelling assessment of the impact of control measures on highly pathogenic avian influenza transmission in poultry in Great Britain
Davis, C. N., Hill, E. M., Jewell, C. P., Rysava, K., Thompson, R. N., & Tildesley, M. J. (2026). A modelling assessment of the impact of control measures on highly pathogenic avian influenza transmission in poultry in Great Britain. PLOS COMPUTATIONAL BIOLOGY, 22(1). doi:10.1371/journal.pcbi.1013874
Edward Hill’s contribution to the Discussion of 'Some statistical aspects of the Covid-19 response' by Wood et al
Hill, E. M. (2026). Edward Hill's contribution to the Discussion of 'Some statistical aspects of the Covid-19 response' by Wood et al.. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 189(1). doi:10.1093/jrsssa/qnaf071
2025
Inequalities in childhood pneumococcal conjugate vaccine uptake in England before and after the change from a 2+1 to 1+1 schedule: a longitudinal study
Improving modelling for epidemic response: a progress update from a community of UK infectious disease modellers
Sherratt, K., Carnegie, A. C., Kucharski, A., Cori, A., Pearson, C. A. B., Hill, E. M., . . . Abbott, S. (2025). Improving modelling for epidemic response: a progress update from a community of UK infectious disease modellers. Interface Focus, 15(4). doi:10.1098/rsfs.2025.0007
Descriptive analysis of national bovine viral diarrhoea test data in England (2016-2023)
Prosser, N. S., Hill, E. M., Gow, L., Cavallaro, M., Tildesley, M. J., Keeling, M. J., . . . Green, M. J. (2025). Descriptive analysis of national bovine viral diarrhoea test data in England (2016-2023). VETERINARY RECORD, 197(6). doi:10.1002/vetr.5325
Divergent antibody-mediated population immunity to H5, H7 and H9 subtype potential pandemic influenza viruses
Real-time inference of the end of an outbreak: Temporally aggregated disease incidence data and under-reporting
Ogi-Gittins, I., Polonsky, J., Keita, M., Ahuka-Mundeke, S., Hart, W. S., Plank, M. J., . . . Thompson, R. N. (2025). Real-time inference of the end of an outbreak: Temporally aggregated disease incidence data and under-reporting. INFECTIOUS DISEASE MODELLING, 10(3), 935-945. doi:10.1016/j.idm.2025.03.009
Modelling the effectiveness of Integrated Pest Management strategies for the control of Septoria tritici blotch
Vincent, E. M. R., Hill, E. M., & Parnell, S. (2025). Modelling the effectiveness of Integrated Pest Management strategies for the control of Septoria tritici blotch. PLOS COMPUTATIONAL BIOLOGY, 21(8). doi:10.1371/journal.pcbi.1013352
Probability of extinction and peak time for multi-type epidemics with application to COVID-19 variants of concern
Curran-Sebastian, J., Dyson, L., Hill, E. M., Hall, I., Pellis, L., & House, T. (2025). Probability of extinction and peak time for multi-type epidemics with application to COVID-19 variants of concern. JOURNAL OF THEORETICAL BIOLOGY, 608. doi:10.1016/j.jtbi.2025.112135
Introducing a framework for within-host dynamics and mutations modelling of H5N1 influenza infection in humans
Higgins, D., Looker, J., Sunnucks, R., Carruthers, J., Finnie, T., Keeling, M. J., & Hill, E. M. (2025). Introducing a framework for within-host dynamics and mutations modelling of H5N1 influenza infection in humans. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 22(228). doi:10.1098/rsif.2024.0910
Unifying human infectious disease models and real-time awareness of population- and subpopulation-level intervention effectiveness
Seibel, R. L., Tildesley, M. J., & Hill, E. M. (2025). Unifying human infectious disease models and real-time awareness of population- and subpopulation-level intervention effectiveness. ROYAL SOCIETY OPEN SCIENCE, 12(6). doi:10.1098/rsos.241964
Improving modelling for epidemic response: a progress update from a community of UK infectious disease modellers
Cost-effectiveness of routine COVID-19 adult vaccination programmes in England
Keeling, M. J., Hill, E. M., Petrou, S., Tran, P. B., Png, M. E., Staniszewska, S., . . . Andrews, N. (2025). Cost-effectiveness of routine COVID-19 adult vaccination programmes in England. VACCINE, 53. doi:10.1016/j.vaccine.2025.126948
Simulation-based inference of the time-dependent reproduction number from temporally aggregated and under-reported disease incidence time series data
Ogi-Gittins, I., Steyn, N., Polonsky, J., Hart, W. S., Keita, M., Ahuka-Mundeke, S., . . . Thompson, R. N. (2025). Simulation-based inference of the time-dependent reproduction number from temporally aggregated and under-reported disease incidence time series data. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 383(2293). doi:10.1098/rsta.2024.0412
Modelling the effectiveness of Integrated Pest Management strategies for the control of <i>Septoria tritici</i>
"Incorporating heterogeneity in farmer disease control behaviour into a livestock disease transmission model" Preventive Vet. Med. 219 (2023) 106019
Hill, E. M., Prosser, N. S., Brown, P. E., Ferguson, E., Green, M. J., Kaler, J., . . . Tildesley, M. J. (2025). "Incorporating heterogeneity in farmer disease control behaviour into a livestock disease transmission model" Preventive Vet. Med. 219 (2023) 106019. PREVENTIVE VETERINARY MEDICINE, 236. doi:10.1016/j.prevetmed.2024.106408
Epidemiological and health economic implications of symptom propagation in respiratory pathogens: A mathematical modelling investigation (vol 20, e1012096, 2024)
Asplin, P., Keeling, M. J., Mancy, R., & Hill, E. M. (2025). Epidemiological and health economic implications of symptom propagation in respiratory pathogens: A mathematical modelling investigation (vol 20, e1012096, 2024). PLOS COMPUTATIONAL BIOLOGY, 21(1). doi:10.1371/journal.pcbi.1012791
2024
Integrating human behaviour and epidemiological modelling: unlocking the remaining challenges
Hill, E. M., Ryan, M., Haw, D., Lynch, M. P., McCabe, R., Milne, A. E., . . . Bolton, K. J. (2024). Integrating human behaviour and epidemiological modelling: unlocking the remaining challenges. Mathematics in Medical and Life Sciences, 1(1). doi:10.1080/29937574.2024.2429479
Mathematics in medical and life sciences: special issue on behavioural epidemiology
Hill, E. M., & Ngonghala, C. N. (2024). Mathematics in medical and life sciences: special issue on behavioural epidemiology. Mathematics in Medical and Life Sciences, 1(1). doi:10.1080/29937574.2024.2321740
The time between symptom onset and various clinical outcomes: a statistical analysis of MERS-CoV patients in Saudi Arabia
Althobaity, Y. M., Alkhudaydi, M. H., Hill, E. M., Thompson, R. N., & Tildesley, M. J. (2024). The time between symptom onset and various clinical outcomes: a statistical analysis of MERS-CoV patients in Saudi Arabia. ROYAL SOCIETY OPEN SCIENCE, 11(11). doi:10.1098/rsos.240094
Cost-effectiveness of routine COVID-19 adult vaccination programmes in England
Introducing a framework for within-host dynamics and mutations modelling of H5N1 influenza infection in humans
Prioritising older individuals for COVID-19 booster vaccination leads to optimal public health outcomes in a range of socio-economic settings
Bouros, I., Hill, E. M., Keeling, M. J., Moore, S., & Thompson, R. N. (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). doi:10.1371/journal.pcbi.1012309
A simulation-based approach for estimating the time-dependent reproduction number from temporally aggregated disease incidence time series data
Ogi-Gittins, I., Hart, W. S., Song, J., Nash, R. K., Polonsky, J., Cori, A., . . . Thompson, R. N. (2024). A simulation-based approach for estimating the time-dependent reproduction number from temporally aggregated disease incidence time series data. EPIDEMICS, 47. doi:10.1016/j.epidem.2024.100773
Seasonal influenza: Modelling approaches to capture immunity propagation (vol 15, e1007096, 2019)
Hill, E. M., Petrou, S., de Lusignan, S., Yonova, I., & Keeling, M. J. (2024). Seasonal influenza: Modelling approaches to capture immunity propagation (vol 15, e1007096, 2019). PLOS COMPUTATIONAL BIOLOGY, 20(6). doi:10.1371/journal.pcbi.1012213
Epidemiological and health economic implications of symptom propagation in respiratory pathogens: A mathematical modelling investigation
Asplin, P., Keeling, M. J., Mancy, R., & Hill, E. M. (2024). Epidemiological and health economic implications of symptom propagation in respiratory pathogens: A mathematical modelling investigation. PLOS COMPUTATIONAL BIOLOGY, 20(5). doi:10.1371/journal.pcbi.1012096
Unifying human infectious disease models and real-time awareness of population- and subpopulation-level intervention effectiveness
Symptom propagation in respiratory pathogens of public health concern: a review of the evidence
Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic.
Sherratt, K., Carnegie, A. C., Kucharski, A., Cori, A., Pearson, C. A. B., Jarvis, C. I., . . . Abbott, S. (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
Symptom propagation in respiratory pathogens of public health concern: a review of the evidence
Asplin, P., Mancy, R., Finnie, T., Cumming, F., Keeling, M. J., & Hill, E. M. (2024). Symptom propagation in respiratory pathogens of public health concern: a review of the evidence. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 21(216). doi:10.1098/rsif.2024.0009
2023
The impacts of SARS-CoV-2 vaccine dose separation and targeting on the COVID-19 epidemic in England
Keeling, M. J., Moore, S., Penman, B. S., & Hill, E. M. (2023). The impacts of SARS-CoV-2 vaccine dose separation and targeting on the COVID-19 epidemic in England. NATURE COMMUNICATIONS, 14(1). 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
Guzman-Rincon, L. M., Hill, E. M., Dyson, L., Tildesley, M. J., & Keeling, M. J. (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, 72(5), 1413-1434. doi:10.1093/jrsssc/qlad056
Retrospectively modeling the effects of increased global vaccine sharing on the COVID-19 pandemic (vol 28,pg 2416,2022)
Moore, S., Hill, E. M., Dyson, L., Tildesley, M. J., & Keeling, M. J. (2023). Retrospectively modeling the effects of increased global vaccine sharing on the COVID-19 pandemic (vol 28,pg 2416,2022). NATURE MEDICINE, 29(11), 2958. doi:10.1038/s41591-023-02303-w
Emergence of SARS-CoV-2 Delta Variant and Effect of Nonpharmaceutical Interventions, British Columbia, Canada
Chan, Y. L. E., Irvine, M. A., Prystajecky, N., Sbihi, H., Taylor, M., Joffres, Y., . . . Galanis, E. (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
Hill, E. M., Prosser, N. S., Brown, P. E., Ferguson, E., Green, M. J., Kaler, J., . . . Tildesley, M. J. (2023). Incorporating heterogeneity in farmer disease control behaviour into a livestock disease transmission model. PREVENTIVE VETERINARY MEDICINE, 219. doi:10.1016/j.prevetmed.2023.106019
A simulation-based approach for estimating the time-dependent reproduction number from temporally aggregated disease incidence time series data
Coughs, colds and ?freshers? flu?survey in the University of Cambridge, 2007-2008
Eames, K. T. D., Tang, M. L., Hill, E. M., Tildesley, M. J., Read, J. M., Keeling, M. J., & Gog, J. R. (2023). Coughs, colds and ?freshers? flu?survey in the University of Cambridge, 2007-2008. EPIDEMICS, 42. doi:10.1016/j.epidem.2022.100659
Modelling the epidemiological implications for SARS-CoV-2 of Christmas household bubbles in England
Hill, E. M. (2023). Modelling the epidemiological implications for SARS-CoV-2 of Christmas household bubbles in England. JOURNAL OF THEORETICAL BIOLOGY, 557. doi:10.1016/j.jtbi.2022.111331
Epidemiological and Health Economic Implications of Symptom Propagation: A Mathematical Modelling Investigation
Incorporating Heterogeneity in Farmer Disease Control Behaviour into a Livestock Disease Transmission Model
Unifying Real-Time Responses to Outbreak Information and Infectious Disease Models
Warwick-Lancaster Global Covid-19 Model
2022
Comparison of the 2021 COVID-19 roadmap projections against public health data in England
Keeling, M. J., Dyson, L., Tildesley, M. J., Hill, E. M., & Moore, S. (2022). Comparison of the 2021 COVID-19 roadmap projections against public health data in England. NATURE COMMUNICATIONS, 13(1). doi:10.1038/s41467-022-31991-0
Quantifying pupil-to-pupil SARS-CoV-2 transmission and the impact of lateral flow testing in English secondary schools
Leng, T., Hill, E. M., Holmes, A., Southall, E., Thompson, R. N., Tildesley, M. J., . . . Dyson, L. (2022). Quantifying pupil-to-pupil SARS-CoV-2 transmission and the impact of lateral flow testing in English secondary schools. NATURE COMMUNICATIONS, 13(1). doi:10.1038/s41467-022-28731-9
The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications
Leng, T., Hill, E. M., Keeling, M. J., Tildesley, M. J., & Thompson, R. N. (2022). The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications. COMMUNICATIONS MEDICINE, 2(1). doi:10.1038/s43856-022-00143-2
Retrospectively modeling the effects of increased global vaccine sharing on the COVID-19 pandemic
Moore, S., Hill, E. M., Dyson, L., Tildesley, M. J., & Keeling, M. J. (2022). Retrospectively modeling the effects of increased global vaccine sharing on the COVID-19 pandemic. NATURE MEDICINE, 28(11), 2416-+. doi:10.1038/s41591-022-02064-y
Descriptive analysis of national bovine viral diarrhoea test data in England (2016-2020)
Prosser, N. S., Hill, E. M., Armstrong, D., Gow, L., Tildesley, M. J., Keeling, M. J., . . . Green, M. J. (2022). Descriptive analysis of national bovine viral diarrhoea test data in England (2016-2020). VETERINARY RECORD, 191(5). doi:10.1002/vetr.1854
Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number
Keeling, M. J., Dyson, L., Guyver-Fletcher, G., Holmes, A., Semple, M. G., Tildesley, M. J., & Hill, E. M. (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
The Impact of SARS-CoV-2 Vaccine Dose Separation and Dose Targeting on Hospital Admissions and Deaths from COVID-19 in England
Optimal health and economic impact of non-pharmaceutical intervention measures prior and post vaccination in England: a mathematical modelling study
Tildesley, M. J., Vassall, A., Riley, S., Jit, M., Sandmann, F., Hill, E. M., . . . Keeling, M. J. (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). doi:10.1098/rsos.211746
Modelling livestock infectious disease control policy under differing social perspectives on vaccination behaviour
Hill, E. J., Prosser, N., Ferguson, E. E., Kaler, J., Green, M. E., Keeling, M., & Tildesley, M. E. (2022). Modelling livestock infectious disease control policy under differing social perspectives on vaccination behaviour. PLOS COMPUTATIONAL BIOLOGY, 18(7). doi:10.1371/journal.pcbi.1010235
Assessing the impact of lateral flow testing strategies on within-school SARS-CoV-2 transmission and absences: A modelling study
Leng, T., Hill, E. M., Thompson, R. N., Tildesley, M. J., Keeling, M. J., & Dyson, L. (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). doi:10.1371/journal.pcbi.1010158
Cattle farmer psychosocial profiles and their association with control strategies for bovine viral diarrhea
Prosser, N. S., Green, M. J., Ferguson, E., Tildesley, M. J., Hill, E. M., Keeling, M. J., & Kaler, J. (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
Comparison of the 2021 COVID-19 Roadmap Projections against Public Health Data in England
The impacts of increased global vaccine sharing on the COVID-19 pandemic; a retrospective modelling study
2021
An analysis of school absences in England during the COVID-19 pandemic
Southall, E., Holmes, A., Hill, E. M., Atkins, B. D., Leng, T., Thompson, R. N., . . . Tildesley, M. J. (2021). An analysis of school absences in England during the COVID-19 pandemic. BMC MEDICINE, 19(1). doi:10.1186/s12916-021-01990-x
Possible future waves of SARS-CoV-2 infection generated by variants of concern with a range of characteristics
Dyson, L., Hill, E. M., Moore, S., Curran-Sebastian, J., Tildesley, M. J., Lythgoe, K. A., . . . Keeling, M. J. (2021). Possible future waves of SARS-CoV-2 infection generated by variants of concern with a range of characteristics. NATURE COMMUNICATIONS, 12(1). doi:10.1038/s41467-021-25915-7
Precautionary breaks: Planned, limited duration circuit breaks to control the prevalence of SARS-CoV2 and the burden of COVID-19 disease
Keeling, M. J., Guyver-Fletcher, G., Dyson, L., Tildesley, M. J., Hill, E. M., & Medley, G. F. (2021). Precautionary breaks: Planned, limited duration circuit breaks to control the prevalence of SARS-CoV2 and the burden of COVID-19 disease. EPIDEMICS, 37. doi:10.1016/j.epidem.2021.100526
Modelling livestock infectious disease control policy under differing social perspectives on vaccination behaviour.
Hill, E. M., Prosser, N. S., Ferguson, E., Kaler, J., Green, M. J., Keeling, M. J., & Tildesley, M. J. (2021). Modelling livestock infectious disease control policy under differing social perspectives on vaccination behaviour.. doi:10.31220/agrirxiv.2021.00100
Descriptive analysis of national bovine viral diarrhoea test data in England.
Prosser, N. S., Hill, E. M., Armstrong, D., Gow, L., Tildesley, M. J., Keeling, M. J., . . . Green, M. J. (2021). Descriptive analysis of national bovine viral diarrhoea test data in England.. doi:10.31220/agrirxiv.2021.00095
Modelling SARS-CoV-2 transmission in a UK university setting
Hill, E. M., Atkins, B. D., Keeling, M. J., Tildesley, M. J., & Dyson, L. (2021). Modelling SARS-CoV-2 transmission in a UK university setting. EPIDEMICS, 36. doi:10.1016/j.epidem.2021.100476
SARS-CoV-2 infection in UK university students: lessons from September-December 2020 and modelling insights for future student return
Enright, J., Hill, E. M., Stage, H. B., Bolton, K. J., Nixon, E. J., Fairbanks, E. L., . . . Tildesley, M. J. (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). doi:10.1098/rsos.210310
Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number.
Keeling, M. J., Dyson, L., Guyver-Fletcher, G., Holmes, A., Semple, M. G., ISARIC4C Investigators., . . . Hill, E. M. (2021). Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number.. medRxiv. doi:10.1101/2020.08.04.20163782
The impact of school reopening on the spread of COVID-19 in England
Keeling, M. J., Tildesley, M. J., Atkins, B. D., Penman, B., Southall, E., Guyver-Fletcher, G., . . . Dyson, L. (2021). The impact of school reopening on the spread of COVID-19 in England. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 376(1829). doi:10.1098/rstb.2020.0261
Developing a Framework for Public Involvement in Mathematical and Economic Modelling: Bringing New Dynamism to Vaccination Policy Recommendations
Staniszewska, S., Hill, E. M., Grant, R., Grove, P., Porter, J., Shiri, T., . . . Keeling, M. (2021). Developing a Framework for Public Involvement in Mathematical and Economic Modelling: Bringing New Dynamism to Vaccination Policy Recommendations. PATIENT-PATIENT CENTERED OUTCOMES RESEARCH, 14(4), 435-445. doi:10.1007/s40271-020-00476-x
Developing a Framework for Public Involvement in Mathematical and Economic Modelling: Bringing New Dynamism to Vaccination Policy Recommendations (Jan, 10.1007/s40271-020-00476-x, 2021)
Staniszewska, S., Hill, E. M., Grant, R., Grove, P., Porter, J., Shiri, T., . . . Keeling, M. (2021). Developing a Framework for Public Involvement in Mathematical and Economic Modelling: Bringing New Dynamism to Vaccination Policy Recommendations (Jan, 10.1007/s40271-020-00476-x, 2021). PATIENT-PATIENT CENTERED OUTCOMES RESEARCH, 14(4), 447. doi:10.1007/s40271-021-00497-0
SARS-CoV-2 incidence and vaccine escape
Thompson, R. N., Hill, E. M., & Gog, J. R. (2021). SARS-CoV-2 incidence and vaccine escape. LANCET INFECTIOUS DISEASES, 21(7), 913-914. doi:10.1016/S1473-3099(21)00202-4
Vaccine escape in a heterogeneous population: insights for SARS-CoV-2 from a simple model
Gog, J. R., Hill, E. M., Danon, L., & Thompson, R. N. (2021). Vaccine escape in a heterogeneous population: insights for SARS-CoV-2 from a simple model. ROYAL SOCIETY OPEN SCIENCE, 8(7). doi:10.1098/rsos.210530
A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2
Hill, E. M., Atkins, B. D., Keeling, M. J., Dyson, L., & Tildesley, M. J. (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). doi:10.1371/journal.pcbi.1009058
Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study
Moore, S., Hill, E. M., Tildesley, M. J., Dyson, L., & Keeling, M. J. (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
Modelling optimal vaccination strategy for SARS-CoV-2 in the UK
Moore, S., Hill, E. M., Dyson, L., Tildesley, M. J., & Keeling, M. J. (2021). Modelling optimal vaccination strategy for SARS-CoV-2 in the UK. PLOS COMPUTATIONAL BIOLOGY, 17(5). doi:10.1371/journal.pcbi.1008849
Coughs, Colds and “Freshers’ Flu” Survey in the University of Cambridge, 2007-2008
Comparison between one and two dose SARS-CoV-2 vaccine prioritisation for a fixed number of vaccine doses
Assessing the impact of secondary school reopening strategies on within-school COVID-19 transmission and absences: a modelling study
Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies
Keeling, M. J., Hill, E. M., Gorsich, E. E., Penman, B., Guyver-Fletcher, G., Holmes, A., . . . Tildesley, M. J. (2021). Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies. PLOS COMPUTATIONAL BIOLOGY, 17(1). doi:10.1371/journal.pcbi.1008619
Comparison between one and two dose SARS-CoV-2 vaccine prioritization for a fixed number of vaccine doses
Hill, E. M., & Keeling, M. J. (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). doi:10.1098/rsif.2021.0214
2020
A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2
Short-term forecasts to inform the response to the Covid-19 epidemic in the UK
Funk, S., Abbott, S., Atkins, B. D., Baguelin, M., Baillie, J. K., Birrell, P., . . . ISARIC4C Investigators. (2020). Short-term forecasts to inform the response to the Covid-19 epidemic in the UK. doi:10.1101/2020.11.11.20220962
Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation
Hill, E. M., Petrou, S., Forster, H., de Lusignan, S., Yonova, I., & Keeling, M. J. (2020). Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation. PLOS COMPUTATIONAL BIOLOGY, 16(10). doi:10.1371/journal.pcbi.1008278
Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation
Precautionary Breaks: Planned, Limited Duration Circuit Breaks to Control the Prevalence of COVID-19
2019
Seasonal influenza: Modelling approaches to capture immunity propagation
Spatio-temporal modelling of Leishmania infantum infection among domestic dogs: a simulation study and sensitivity analysis applied to rural Brazil
Buckingham-Jeffery, E., Hill, E. M., Datta, S., Dilger, E., & Courtenay, O. (2019). Spatio-temporal modelling of Leishmania infantum infection among domestic dogs: a simulation study and sensitivity analysis applied to rural Brazil. PARASITES & VECTORS, 12. doi:10.1186/s13071-019-3430-y
Modelling the spread of mood
Hill, E., & House, T. (2019). Modelling the spread of mood. In B. Breidenbach, & T. Docherty (Eds.), Mood: Interdisciplinary Perspectives, New Theories (pp. 87-108). Routledge.
Diet and biomarkers of Alzheimer's disease: a systematic review and meta-analysis
Hill, E., Goodwill, A. M., Gorelik, A., & Szoeke, C. (2019). Diet and biomarkers of Alzheimer's disease: a systematic review and meta-analysis. NEUROBIOLOGY OF AGING, 76, 45-52. doi:10.1016/j.neurobiolaging.2018.12.008
Apolipoprotein E4 Mediates the Association Between Midlife Dyslipidemia and Cerebral Amyloid in Aging Women
Szoeke, C., Goodwill, A. M., Gorelik, A., Dennerstein, L., Caeyenberghs, K., Simpson, S. J., . . . Campbell, S. (2019). Apolipoprotein E4 Mediates the Association Between Midlife Dyslipidemia and Cerebral Amyloid in Aging Women. JOURNAL OF ALZHEIMERS DISEASE, 68(1), 105-114. doi:10.3233/JAD-180815
Seasonal influenza: Modelling approaches to capture immunity propagation
Hill, E. M., Petrou, S., de Lusignan, S., Yonova, I., & Keeling, M. J. (2019). Seasonal influenza: Modelling approaches to capture immunity propagation. PLOS COMPUTATIONAL BIOLOGY, 15(10). doi:10.1371/journal.pcbi.1007096
2018
Spatio-temporal modelling of <i>Leishmania infantum</i> infection among domestic dogs: a simulation study and sensitivity analysis applied to rural Brazil
The impact of surveillance and control on highly pathogenic avian influenza outbreaks in poultry in Dhaka division, Bangladesh
Hill, E. M., House, T., Dhingra, M. S., Kalpravidh, W., Morzaria, S., Osmani, M. G., . . . Tildesley, M. J. (2018). The impact of surveillance and control on highly pathogenic avian influenza outbreaks in poultry in Dhaka division, Bangladesh. PLOS COMPUTATIONAL BIOLOGY, 14(9). doi:10.1371/journal.pcbi.1006439
2017
How Predictable are Flu Pandemics?
Hill, E., Tildesley, M., & House, T. (2017). How Predictable are Flu Pandemics?. Significance, 14(6), 28-33. doi:10.1111/j.1740-9713.2017.01090.x
The impact of surveillance and control on highly pathogenic avian inuenza outbreaks in poultry in Dhaka division, Bangladesh
Spreading of components of mood in adolescent social networks
Eyre, R. W., House, T., Hill, E. M., & Griffiths, F. E. (2017). Spreading of components of mood in adolescent social networks. ROYAL SOCIETY OPEN SCIENCE, 4(9). doi:10.1098/rsos.170336
Modelling H5N1 in Bangladesh across spatial scales: Model complexity and zoonotic transmission risk
Hill, E. M., House, T., Dhingra, M. S., Kalpravidh, W., Morzaria, S., Osmani, M. G., . . . Tildesley, M. J. (2017). Modelling H5N1 in Bangladesh across spatial scales: Model complexity and zoonotic transmission risk. EPIDEMICS, 20, 37-55. doi:10.1016/j.epidem.2017.02.007
Mathematical modelling approaches for spreading processes : zoonotic influenza and social contagion
Hill, E. (2017). Mathematical modelling approaches for spreading processes : zoonotic influenza and social contagion. (University of Warwick).
Corrigendum: Evidence for history-dependence of influenza pandemic emergence.
Hill, E. M., Tildesley, M. J., & House, T. (2017). Corrigendum: Evidence for history-dependence of influenza pandemic emergence.. Scientific reports, 7, 46770. doi:10.1038/srep46770
Evidence for history-dependence of influenza pandemic emergence
Hill, E. M., Tildesley, M. J., & House, T. (2017). Evidence for history-dependence of influenza pandemic emergence. SCIENTIFIC REPORTS, 7. doi:10.1038/srep43623
2015
Spreading of healthy mood in adolescent social networks
Hill, E. M., Griffiths, F. E., & House, T. (2015). Spreading of healthy mood in adolescent social networks. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 282(1813). doi:10.1098/rspb.2015.1180
2003
Identifying and quantifying apoptosis: Navigating technical pitfalls
Garrity, M. M., Burgart, L. J., Riehle, D. L., Hill, E. M., Sebo, T. J., & Witzig, T. (2003). Identifying and quantifying apoptosis: Navigating technical pitfalls. MODERN PATHOLOGY, 16(4), 389-394. doi:10.1097/01.MP.0000062657.30170.92
2001
p27<SUP>Kip1</SUP> protein expression correlates with histologic grade and disease progression in adult soft tissue sarcomas
Oliveira, A. M., Nascimento, A. G., Sebo, T. J., Okuno, S. H., Hill, E. M., & Lloyd, R. V. (2001). p27<SUP>Kip1</SUP> protein expression correlates with histologic grade and disease progression in adult soft tissue sarcomas. In MODERN PATHOLOGY Vol. 14 (pp. 16A). Retrieved from https://www.webofscience.com/
p27<SUP>kip1</SUP> protein expression correlates with histologic grade and disease progression in adult soft tissue sarcomas
Oliveira, A. M., Nascimento, A. G., Sebo, T. J., Okuno, S. H., Hill, E. M., & Lloyd, R. V. (2001). p27<SUP>kip1</SUP> protein expression correlates with histologic grade and disease progression in adult soft tissue sarcomas. In LABORATORY INVESTIGATION Vol. 81 (pp. 16A). Retrieved from https://www.webofscience.com/