Professor Mike Tildesley
Professor
Email:
Phone: 024 765 24818
Office: Mathematical Sciences Building 5.03
Research Clusters
Microbiology & Infectious Disease
Warwick Centres and GRPs
Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research (SBIDER)
Vacancies and Opportunities
For PhD and postdoctoral opportunities, and interest in potential collaborations, please contact me at the above email address.
Research Interests
Prof. Mike Tildesley is a Professor of Infectious Disease Modelling at the University of Warwick and the Director of the Mathematics for Real World Systems Centre for Doctoral Training.
He has an interest in the predictive power of models in the early stages of emerging disease outbreaks and in communicating modelling results to policy advisors. He has extensive experience of modelling livestock disease systems, including Foot-and-Mouth Disease (FMD) and Highly Pathogenic Avian Influenza (HPAI), and he was previously awarded a grant by NIH to model the impacts of agricultural intensification on global HPAI dynamics.
Prof. Tildesley has advised the UK Government’s Department for the Environment, Food and Rural Affairs, the US Department of Agriculture and the Food and Agriculture Organisation of the United Nations about strategies for control of livestock diseases including FMD and HPAI. From March 2020 to March 2022, He was a member of SPI-M-O, and worked extensively on COVID-19, providing policy advice to the UK government.
He has published over 90 publications in journals including Science, Nature and Lancet Infectious Diseases.
Research: Technical Summary
I am an infectious disease epidemiologist who has worked on the development of mathematical models to simulate the spread of infectious diseases since I was first employed as a postdoctoral research associate in 2003. Over the last 20 years, I have established myself as an internationally recognised infectious disease modeller and have particular expertise in the development of optimal intervention programmes for future emerging disease outbreaks. I was appointed as an Associate Professor at the University of Warwick in 2016, was promoted to Reader in 2020 and to Professor in 2021.
My research has consistently operated at the interface between science and policy. In my early career, I worked predominantly on livestock and zoonotic infectious diseases and have worked closely with the Department for the Environment, Food and Rural Affairs (DEFRA), the US Department of Agriculture (USDA), the Food and Agriculture Organisation of the United Nations (FAO) and the World Organisation for Animal Health (OIE). I currently have an active project in collaboration with Penn State University, funded by the Ecology and Evolution of Infectious Diseases (EEID) Program on endemic livestock diseases in East Africa and the Middle East, working with FAO to devise surveillance strategies to minimise the future impact of foot-and-mouth disease (FMD) and other livestock diseases in these regions. I am Principal Investigator on a project funded by BBSRC, in collaboration with the University of Nottingham to analyse the impact of farm behaviour upon the spread of livestock disease.
Whilst I am trained as a mathematical modeller, I also have experience in running field epidemiology projects. From 2017 to 2021, I was Principal Investigator on an enhanced surveillance project in three Animal Bite Treatment Centres (ABTCs) in Albay province in the Philippines to reduce the human health impact of canine rabies in the region. This project, developed in collaboration with my Ph.D. student at the time, Kristyna Rysava, involved the development of a model phone application to collect data on animal bite incidents from patients. These data were analysed by ABTC staff to establish suspect bite incidents. These staff then alerted veterinary services to carry out field investigations to identify the suspect dog and reduce the risk to human health. This project, developed in collaboration with the OIE, resulted in a significant increase in detection of rabid dogs in the province, as well as increased awareness by the local community of the risks associated with dog bites.
- 2021- Professor, Warwick Mathematics Institute and School of Life Sciences, U. of Warwick
- 2020-2021 Reader, University of Warwick
- 2016-2020 Associate Professor, University of Warwick
- 2014-2016 Lecturer, School of Veterinary Medicine and Science (SVMS), U. of Nottingham
- 2013-2014 Senior Lecturer in Mathematical Epidemiology, University of Exeter
- 2011-2013 Assistant Professor, University of Warwick
- 2008-2011 Research Fellow, University of Edinburgh
- 2003-2008 Postdoctoral Research Fellow at the University of Warwick
- 1999-2003 Ph.D., Dept. of Applied Mathematics and Theoretical Physics, U. of Cambridge.
- 1998-1999 Certificate of Advanced Study in Mathematics, U. of Cambridge. Distinction.
- 1995-1998 B.A. (Hons) in Mathematics, Clare College, University of Cambridge.
Kaye, A. R., Obolski, U., Sun, L., Hart, W. S., Hurrell, J. W., Tildesley, M. J. and Thompson, R. N. (2024) The impact of natural climate variability on the global distribution of Aedes aegypti : a mathematical modelling study. Lancet Planetary Health, 8 (12). e1079-e1087. doi:10.1016/S2542-5196(24)00238-9 ISSN 2542-5196. (In Press)
de Klerk, Joanna N., Tildesley, Michael J., Robbins, Adam and Gorsich, Erin E. (2024) Parameterisation of a bluetongue virus mathematical model using a systematic literature review. Preventive Veterinary Medicine, 232 . 106328. doi:10.1016/j.prevetmed.2024.106328 ISSN 0167-5877.
de Klerk, Joanna N., Tildesley, Michael J., Labuschagne, Karien and Gorsich, Erin E. (2024) Modelling bluetongue and African horse sickness vector (Culicoides spp.) distribution in the Western Cape in South Africa using random forest machine learning. Parasites & Vectors, 17 . 354. doi:10.1186/s13071-024-06446-8 ISSN 1756-3305.
de Klerk, Joanna N., Tildesley, Michael J., Labuschagne, Karien and Gorsich, Erin E. (2024) Modelling bluetongue and African horse sickness vector (Culicoides spp.) distribution in the Western Cape in South Africa using random forest machine learning. Parasites & Vectors, 17 (1). 354. doi:10.1186/s13071-024-06446-8 ISSN 1756-3305.
Fairbanks, Emma L., Daly, Janet M. and Tildesley, Michael J. (2024) Modelling the influence of climate and vector control interventions on arbovirus transmission. Viruses, 16 (8). 1221. doi:10.3390/v16081221 ISSN 1999-4915.
Doyle, Nathan, Cumming, Fergus, Thompson, Robin N. and Tildesley, Michael J. (2024) When should lockdown be implemented? Devising cost-effective strategies for managing epidemics amid vaccine uncertainty. PLoS Computational Biology, 20 (7). e1012010. doi:10.1371/journal.pcbi.1012010 ISSN 1553-7358.
Seibel, Rachel L., Meadows, Amanda J., Mundt, Christopher and Tildesley, Michael J. (2024) Modeling target-density-based cull strategies to contain foot-and-mouth disease outbreaks. PeerJ, 12 . e16998. doi:10.7717/peerj.16998 ISSN 2167-8359.
Althobaity, Yehya, Alkhudaydi, Muhammad, Hill, Edward M., Thompson, Robin N. and Tildesley, Michael 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 . ISSN 2054-5703. (In Press)
Rysava, Kristyna and Tildesley, Michael J. (2023) Identification of dynamical changes of rabies transmission under quarantine : community-based measures towards rabies elimination. PLoS Computational Biology, 19 (12). e1011187. doi:10.1371/journal.pcbi.1011187 ISSN 1553-7358.
Cavallaro, Massimo, Dyson, Louise, Tildesley, Michael J., Todkill, Daniel and Keeling, Matt J. (2023) Spatio-temporal surveillance and early detection of SARS-CoV-2 variants of concern : a retrospective analysis. Journal of the Royal Society. Interface, 20 (208). 20230410. doi:10.1098/rsif.2023.0410 ISSN 1742-5689.
McKendrick, James, Tennant, Warren S. D. and Tildesley, Michael J. (2023) Modelling seasonality of Lassa fever incidences and vector dynamics in Nigeria. PLoS Neglected Tropical Diseases, 17 (11). e0011543. doi:10.1371/journal.pntd.0011543 ISSN 1935-2727.
Guzmán-Rincón, Laura M., Hill, Edward M., Dyson, Louise, Tildesley, Michael J. and Keeling, Matt 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). pp. 1413-1434. doi:10.1093/jrsssc/qlad056 ISSN 1467-9876.
Chan, Y. L. Elaine, Irvine, Michael A., Prystajecky, Natalie, Sbihi, Hind, Marsha, Taylor, Joffres , Yayuk, Schertzer, Andrea, Rose, Caren, Dyson, Louise, Hill, Edward M., Tildesley, Michael J., Tyson, John R., Hoang, Linda M. N. and Galanis, Eleni (2023) Emergence of SARS-CoV-2 Delta variant and effect of nonpharmaceutical interventions, British Columbia, Canada. Emerging Infectious Diseases , 29 (10). pp. 1999-2007. doi:10.3201/eid2910.230055 ISSN 1080-6059.
Hill, Edward M., Prosser, Naomi S., Brown, Paul E., Ferguson, Eamonn, Green, Martin J., Kaler, Jasmeet, Keeling, Matt J. and Tildesley, Michael J. (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 ISSN 0167-5877.
de Klerk, Joanna N., Gorsich, Erin E., Grewar, John D., Atkins, Benjamin D., Tennant, Warren, Labuschagne, Karien and Tildesley, Michael J. (2023) Modelling African horse sickness emergence and transmission in the South African control area using a deterministic metapopulation approach. PLOS Computational Biology, 19 (9). e1011448. doi:10.1371/journal.pcbi.1011448 ISSN 1553-7358.
Eames, Ken T. D., Tang, Maria L., Hill, Edward M., Tildesley, Michael J., Read, Jonathan M., Keeling, Matt J. and Gog, Julia R. (2023) Coughs, colds and “freshers’ flu” survey in the University of Cambridge, 2007–2008. Epidemics, 42 . 100659. doi:10.1016/j.epidem.2022.100659 ISSN 1755-4365.
Beck-Johnson, L. M., Gorsich, Erin E., Hallman, C., Tildesley, M. J., Miller, R. S. and Webb, C. T. (2023) An exploration of within-herd dynamics of a transboundary livestock disease : a foot and mouth disease case study. Epidemics, 42 . 100668. doi:10.1016/j.epidem.2023.100668 ISSN 1755-4365.
Althobaity, Yehya and Tildesley, Michael J. (2023) Modelling the impact of non-pharmaceutical interventions on the spread of COVID-19 in Saudi Arabia. Scientific Reports, 13 (1). 843. doi:10.1038/s41598-022-26468-5 ISSN 2045-2322.
Moore, Sam, Hill, Edward M., Dyson, Louise, Tildesley, Michael J. and Keeling, Matt J. (2022) Retrospectively modeling the effects of increased global vaccine sharing on the COVID-19 pandemic. Nature Medicine, 28 . pp. 2416-2423. doi:10.1038/s41591-022-02064-y ISSN 1078-8956.
Gilbertson, Kendra, Brommesson, Peter, Minter, Amanda, Hallman, Clayton, Miller, Ryan S., Portacci, Katie, Sellman, Stefan, Tildesley, Michael J., Webb, Colleen T., Lindström, Tom and Beck-Johnson, Lindsay M. (2022) The importance of livestock demography and infrastructure in driving Foot and Mouth disease dynamics. Life, 12 (10). 1604. doi:10.3390/life12101604 ISSN 2075-1729.
Probert, William J. M. , Nicol, Sam, Ferrari, Matthew J., Li, Shou-Li, Shea, Katriona, Tildesley, Michael J. and Runge, Michael C. (2022) Vote-processing rules for combining control recommendations from multiple models. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380 (2233). doi:10.1098/rsta.2021.0314 ISSN 1364-503X.
Prosser, Naomi S., Hill, Edward M., Armstrong, Derek, Gow, Lorna, Tildesley, Michael J., Keeling, Matt J., Kaler, Jasmeet, Ferguson, Eamonn and Green, Martin J. (2022) Descriptive analysis of national bovine viral diarrhoea test data in England. Veterinary Record, 191 (5). e1854. doi:10.1002/vetr.1854 ISSN 2042-7670.
Prosser, Naomi S., Hill, Edward M., Armstrong, Derek, Gow, Lorna, Tildesley, Michael J., Keeling, Matthew James, Kaler, Jasmeet, Ferguson, Eamonn and Green, Martin J. (2022) Descriptive analysis of national bovine viral diarrhoea test data in England (2016–2020). Veterinary Record, 191 (5). e1854. doi:10.1002/vetr.1854 ISSN 2042-7670.
Althobaity, Yehya, Wu, Jianhong and Tildesley, Michael J. (2022) Non-pharmaceutical interventions and their relevance in the COVID-19 vaccine rollout in Saudi Arabia and Arab Gulf countries. Infectious Disease Modelling, 7 (3). pp. 545-560. doi:10.1016/j.idm.2022.08.005 ISSN 2468-0427.
Keeling, Matt J., Dyson, Louise, Guyver-Fletcher, Glen, Holmes, Alexander, Semple, Malcolm G., Tildesley, Michael J. and Hill, Edward M. (2022) Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number. Statistical Methods in Medical Research , 31 (9). pp. 1716-1737. doi:10.1177/09622802211070257 ISSN 0962-2802.
Althobaity, Yehya, Wu, Jianhong and Tildesley, Michael J. (2022) A comparative analysis of epidemiological characteristics of MERS-CoV and SARS-CoV-2 in Saudi Arabia. Infectious Disease Modelling, 7 (3). pp. 473-485. doi:10.1016/j.idm.2022.07.002 ISSN 24680427.
Keeling, Matthew James, Dyson, Louise, Tildesley, Michael J., Hill, Edward M. and Moore, Sam (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 ISSN 2041-1723.
Hill, Alison L., Herrera-Diestra, José L., Tildesley, Michael, Shea, Katriona and Ferrari, Matthew J. (2022) Cattle transport network predicts endemic and epidemic foot-and-mouth disease risk on farms in Turkey. PLoS Computational Biology, 18 (8). e1010354. doi:10.1371/journal.pcbi.1010354 ISSN 1553-7358.
Tildesley, Michael J., Vassall, Anna, Riley, Steven, Jit, Mark, Sandmann, Frank, Hill, Edward M., Thompson, Robin N., Atkins, Benjamin D., Edmunds, John, Dyson, Louise and Keeling, Matt 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). 211746. doi:10.1098/rsos.211746 ISSN 2054-5703.
Hill, Edward M., Prosser, Naomi S., Ferguson, Eamonn, Kaler, Jasmeet, Green, Martin J., Keeling, Matt J. and Tildesley, Michael J. (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 ISSN 1553-7358.
Fairbanks, Emma L., Brennan, Marnie L., Mertens, Peter P. C., Tildesley, Michael J. and Daly, Janet M. (2022) Re‐parameterization of a mathematical model of African horse sickness virus using data from a systematic literature search. Transboundary and Emerging Diseases, 69 (4). pp. 671-681. doi:10.1111/tbed.14420 ISSN 1865-1674.
Leng, Trystan, Hill, Edward M., Keeling, Matt J., Tildesley, Michael J. and Thompson, Robin N. (2022) 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 ISSN 2730-664X.
Fairbanks, Emma L., Baylis, Matthew, Daly, Janet M. and Tildesley, Michael J. (2022) Inference for a spatio-temporal model with partial spatial data : African horse sickness virus in Morocco. Epidemics, 39 . 100566. doi:10.1016/j.epidem.2022.100566 ISSN 17554365.
Leng, Trystan, Hill, Edward M., Thompson, Robin N., Tildesley, Michael J., Keeling, Matt J. and Dyson, Louise (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 ISSN 1553-7358.
Rysava, Kristyna, Espineda, Jason, Silo, Eva Angela V., Carino, Sarah, Aringo, Ariane Mae, Bernales, Rona P., Adonay, Florencio F., Tildesley, Michael J. and Hampson, Katie (2022) One health surveillance for rabies : a case study of integrated bite case management in Albay Province, Philippines. Frontiers in Tropical Diseases, 3 . 787524. doi:10.3389/fitd.2022.787524 ISSN 2673-7515.
Leng, Trystan, Hill, Edward M., Holmes, Alexander, Southall, Emma, Thompson, Robin N., Tildesley, Michael J., Keeling, Matt J. and Dyson, Louise (2022) Quantifying pupil-to-pupil SARS-CoV-2 transmission and the impact of lateral flow testing in English secondary schools. Nature Communications, 13 (1). 1106. doi:10.1038/s41467-022-28731-9 ISSN 2041-1723.
Kretzschmar, Mirjam E., Ashby, Ben, Fearon, Elizabeth, Overton, Christopher E., Panovska-Griffiths, Jasmina, Pellis, Lorenzo, Quaife, Matthew, Rozhnova, Ganna, Scarabel, Francesca, Stage, Helena B., Swallow, Ben, Thompson, Robin N., Tildesley, Michael J. and Villela, Daniel (2022) Challenges for modelling interventions for future pandemics. Epidemics, 38 . 100546. doi:10.1016/j.epidem.2022.100546 ISSN 1755-4365.
Holmes, Alexander, Tildesley, Michael J. and Dyson, Louise (2022) Approximating steady state distributions for household structured epidemic models. Journal of Theoretical Biology, 534 . 110974. doi:10.1016/j.jtbi.2021.110974 ISSN 0022-5193.
Guyver‐Fletcher, Glen, Gorsich, Erin E. and Tildesley, Michael J. (2021) A model exploration of carrier and movement transmission as potential explanatory causes for the persistence of foot‐and‐mouth disease in endemic regions. Transboundary and Emerging Diseases . doi:10.1111/tbed.14423 ISSN 1865-1674.
Keeling, Matthew James, Guyver-Fletcher, Glen, Dyson, Louise, Tildesley, Michael J., Hill, Edward M. and Medley, Graham 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 . 100526. doi:10.1016/j.epidem.2021.100526 ISSN 1755-4365.
Howerton, Emily, Ferrari, Matthew J., Bjørnstad, Ottar N., Bogich, Tiffany L., Borchering, Rebecca K., Jewell, Chris P., Nichols, James D., Probert, William J. M. , Runge, Michael C., Tildesley, Michael J., Viboud, Cécile and Shea, Katriona (2021) Synergistic interventions to control COVID-19 : mass testing and isolation mitigates reliance on distancing. PLOS Computational Biology, 17 (10). e1009518. doi:10.1371/journal.pcbi.1009518 ISSN 1553-7358.
Dyson, Louise, Hill, Edward M., Moore, Sam, Curran-Sebastian, Jacob, Tildesley, Michael J., Lythgoe, Katrina A., House, Thomas, Pellis, Lorenzo and Keeling, Matthew James (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 ISSN 2041-1723.
Southall, Emma, Brett, Tobias S., Tildesley, Michael J. and Dyson, Louise (2021) Early warning signals of infectious disease transitions : a review. Journal of the Royal Society Interface, 18 (182). 20210555. ISSN 1742-5662 doi:10.1098/rsif.2021.0555
Tennant, Warren, Cardinale, Eric, Cêtre-Sossah, Catherine, Moutroifi, Youssouf, Le Godais, Gilles, Colombi, Davide, Spencer, Simon E. F., Tildesley, Michael J., Keeling, Matt J., Charafouddine, Onzade, Colizza, Vittoria, Edmunds, W. John and Métras, Raphaëlle (2021) Modelling the persistence and control of Rift Valley fever virus in a spatially heterogeneous landscape. Nature Communications, 12 (1). 5593. doi:10.1038/s41467-021-25833-8 ISSN 2041-1723.
Hill, Edward M., Atkins, Benjamin D., Keeling, Matt J., Tildesley, Michael J. and Dyson, Louise (2021) Modelling SARS-CoV-2 transmission in a UK university setting. Epidemics, 36 . 100476. doi:10.1016/j.epidem.2021.100476 ISSN 1755-4365.
Enright, Jessica, Hill, Edward M., Stage, Helena B., Bolton, Kirsty J., Nixon, Emily J., Fairbanks, Emma L., Tang, Maria L., Brooks-Pollock, Ellen, Dyson, Louise, Budd, Chris J., Hoyle, Rebecca B., Schewe, Lars, Gog, Julia R. and Tildesley, Michael 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). 210310. doi:10.1098/rsos.210310 ISSN 2054-5703.
Keeling, Matt J., Tildesley, Michael J., Atkins, Benjamin D., Penman, Bridget S., Southall, Emma, Guyver-Fletcher, Glen, Holmes, Alexander, McKimm, Hector, Gorsich, Erin E., Hill, Edward M. and Dyson, Louise (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). 20200261. doi:10.1098/rstb.2020.0261 ISSN 0962-8436.
Nichols, James D., Bogich, Tiffany L., Howerton, Emily, Bjørnstad, Ottar N., Borchering, Rebecca K., Ferrari, Matthew, Haran, Murali, Jewell, Christopher, Pepin, Kim M., Probert, William J. M., Pulliam, Juliet R. C., Runge, Michael C., Tildesley, Michael J., Viboud, Cécile and Shea, Katriona (2021) Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making. PLoS Biology, 19 (6). e3001307. doi:10.1371/journal.pbio.3001307 ISSN 1545-7885.
Hill, Edward M., Atkins, Benjamin D., Keeling, Matt J., Dyson, Louise and Tildesley, Michael 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). e1009058. doi:10.1371/journal.pcbi.1009058 ISSN 1553-7358.
Southall, Emma, Holmes, Alexander, Hill, Edward M., Atkins, Benjamin D., Leng, Trystan, Thompson, Robin N., Dyson, Louise, Keeling, Matthew James and Tildesley, Michael J. (2021) An analysis of school absences in England during the COVID-19 pandemic. BMC Medicine, 19 (1). 137. doi:10.1186/s12916-021-01990-x ISSN 1741-7015.
Moore, Sam, Hill, Edward M., Tildesley, Michael J., Dyson, Louise and Keeling, Matt J. (2021) Vaccination and non-pharmaceutical interventions for COVID-19 : a mathematical modelling study. Lancet Infectious Diseases, 21 (6). pp. 793-802. doi:10.1016/S1473-3099(21)00143-2 ISSN 1473-3099.
Tao, Yun, Probert, William J. M. , Shea, Katriona, Runge, Michael C., Lafferty, Kevin, Tildesley, Michael J. and Ferrari, Matthew (2021) Causes of delayed outbreak responses and their impacts on epidemic spread. Journal of The Royal Society Interface, 18 (176). 20200933. doi:10.1098/rsif.2020.0933 ISSN 1742-5689.
Keeling, Matt J., Hill, Edward M., Gorsich, Erin E., Penman, Bridget S., Guyver-Fletcher, Glen, Holmes, Alexander, Leng, Trystan, McKimm, Hector, Tamborrino, Massimiliano, Dyson, Louise and Tildesley, Michael J. (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 ISSN 1553-7358.
Moore, Sam, Hill, Edward M., Dyson, Louise, Tildesley, Michael J. and Keeling, Matt J. (2021) Modelling optimal vaccination strategy for SARS-CoV-2 in the UK. PLoS Computational Biology, 17 (5). e1008849. doi:10.1371/journal.pcbi.1008849 ISSN 1553-7358.
Atkins, Benjamin D., Jewell, Chris P., Runge, Michael C., Ferrari, Matthew J., Shea, Katriona, Probert, William J. M. and Tildesley, Michael J. (2020) Anticipating future learning affects current control decisions : a comparison between passive and active adaptive management in an epidemiological setting. Journal of Theoretical Biology, 506 . 110380. doi:10.1016/j.jtbi.2020.110380 ISSN 0022-5193.
Holmes, Alexander, Tildesley, Michael J., Solomon, Anthony W., Mabey, David C. W., Sokana, Oliver, Marks, Michael and Dyson, Louise (2020) Modelling treatment strategies to inform Yaws eradication. Emerging Infectious Diseases , 26 (11). pp. 2685-2693. doi:10.3201/eid2611.191491 ISSN 1080-6059.
van Andel, Mary, Tildesley, Michael J. and Gates, M. Carolyn (2020) Challenges and opportunities for using national animal datasets to support foot‐and‐mouth disease control. Transboundary and Emerging Diseases . doi:10.1111/tbed.13858 ISSN 1865-1674.
Southall, Emma, Tildesley, Michael J. and Dyson, Louise (2020) Prospects for detecting early warning signals in discrete event sequence data : application to epidemiological incidence data. PLoS Computational Biology, 16 (9). e1007836. doi:10.1371/journal.pcbi.1007836 ISSN 1553-7358.
Shea, Katriona, Runge, Michael C., Pannell, David, Probert, William J. M., Li, Shou-Li, Tildesley, Michael J. and Ferrari, Matthew (2020) Harnessing multiple models for outbreak management. Science, 368 (6491). pp. 577-579. doi:10.1126/science.abb9934 ISSN 0036-8075.
Sellman, Stefan, Tildesley, Michael J., Burdett, Christopher L., Miller, Ryan S., Hallman, Clayton, Webb, Colleen T., Wennergren, Uno, Portacci, Katie and Lindström, Tom (2020) Realistic assumptions about spatial locations and clustering of premises matter for models of foot-and-mouth disease spread in the United States. PLoS Computational Biology, 16 (2). e1007641. doi:10.1371/journal.pcbi.1007641 ISSN 1553-7358.
Tennant, Warren, Tildesley, Michael J., Spencer, Simon E. F. and Keeling, Matthew James (2020) Climate drivers of plague epidemiology in British India, 1898–1949. Proceedings of the Royal Society B: Biological Sciences, 287 (1928). 20200538. doi:10.1098/rspb.2020.0538 ISSN 0962-8452.
Pollington, Timothy, Tildesley, Michael J., Hollingsworth, T. Déirdre and Chapman, Lloyd A. C. (2020) Developments in statistical inference when assessing spatiotemporal disease clustering with the tau statistic. Spatial Statistics . 100438. doi:10.1016/j.spasta.2020.100438 ISSN 2211-6753.
Hampson, Katie, Abela-Ridder, Bernadette, Changalucha, Joel, Cleaveland, Sarah, Knopf, Lea, Lushasi, Kennedy, Miranda, Mary Elizabeth, Thumbi, SM, Rysava, Kristyna, Tenzin, Tenzin, Tildesley, Michael, Wallace, Ryan and Trotter, Caroline (2020) Zero human deaths from dog-mediated rabies by 2030 : perspectives from quantitative and mathematical modelling. Gates Open Research, 3 . p. 1564. ISSN 2572-4754 doi:10.12688/gatesopenres.13074.2
Tsao, Kimberly, Sellman, Stefan, Beck-Johnson, Lindsay M., Murrieta, Deedra J., Hallman, Clayton, Lindström, Tom, Miller, Ryan S., Portacci, Katie, Tildesley, Michael J. and Webb, Colleen T. (2019) Effects of regional differences and demography in modelling foot-and-mouth disease in cattle at the national scale. Interface Focus, 10 (1). 20190054. doi:10.1098/rsfs.2019.0054 ISSN 2042-8898.
Dessavre, Adjani Gama, Southall, Emma, Tildesley, Michael J. and Dyson, Louise (2019) The problem of detrending when analysing potential indicators of disease elimination. Journal of Theoretical Biology, 481 . pp. 183-193. doi:10.1016/j.jtbi.2019.04.011 ISSN 0022-5193.
Dyson, Louise, Mooring, Eric Q., Holmes, Alexander, Tildesley, Michael J. and Marks, Michael (2019) Insights from quantitative and mathematical modelling on the proposed 2030 goals for yaws. Gates Open Research, 3 . 1576. doi:10.12688/gatesopenres.13078.1 ISSN 2572-4754.
Tildesley, Michael J., Brand, Samuel, Brooks Pollock, E., Bradbury, Naomi, Werkman, Marleen and Keeling, Matthew James (2019) The role of movement restrictions in limiting the economic impact of livestock infections. Nature Sustainability, 2 . pp. 834-840. doi:10.1038/s41893-019-0356-5 ISSN 2398-9629.
Chaiban, Celia, Biscio, Christophe, Thanapongtharm, Weerapong, Tildesley, Michael J., Xiao, Xiangming, Robinson, Timothy P., Vanwambeke, Sophie O. and Gilbert, Marius (2019) Point pattern simulation modelling of extensive and intensive chicken farming in Thailand : accounting for clustering and landscape characteristics. Agricultural Systems, 173 . pp. 335-344. doi:10.1016/j.agsy.2019.03.004 ISSN 0308-521X.
Li, Shou-Li, Ferrari, Matthew J., Bjørnstad, Ottar N., Runge, Michael C., Fonnesbeck, Christopher J., Tildesley, Michael J., Pannell, David and Shea, Katriona (2019) Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control : Ebola as a case study. Proceedings of the Royal Society B: Biological Sciences, 286 (1905). 20190774. doi:10.1098/rspb.2019.0774 ISSN 0962-8452.
Arzt, Jonathan, Branan, Matthew A., Delgado, Amy H., Yadav, Shankar, Moreno-Torres, Karla I., Tildesley, Michael J. and Stenfeldt, Carolina (2019) Quantitative impacts of incubation phase transmission of foot-and-mouth disease virus. Scientific Reports, 9 (1). 2707. doi:10.1038/s41598-019-39029-0 ISSN 2045-2322.
Probert, W. J. M., Lakkur, S., Fonnesbeck, C. J., Shea, K., Runge, M. C., Tildesley, M. J. and Ferrari, M. J. (2019) Context matters: using reinforcement learning to develop human-readable, state-dependent outbreak response policies. Philosophical Transactions of the Royal Society B: Biological Sciences, 374 (1776). p. 20180277. doi:10.1098/rstb.2018.0277 ISSN 0962-8436.
Retkute, Renata, Jewell, Chris P., Van Boeckel, Thomas P., Zhang, Geli, Xiao, Xiangming, Thanapongtharme, Weerapong, Keeling, Matthew James, Gilbert, Marius and Tildesley, Michael J. (2018) Dynamics of the 2004 avian influenza H5N1 outbreak in Thailand : the role of duck farming, sequential model fitting and control. Preventive Veterinary Medicine, 159 . pp. 171-181. doi:10.1016/j.prevetmed.2018.09.014 ISSN 0167-5877.
Hill, Edward M., House, Thomas A., Dhingra, Madhur S., Kalpravidh, Wantanee, Morzaria, Subhash, Osmani, Muzaffar G., Brum, Eric, Yamage, Mat, Kalam, Md. A., Prosser, Diann J., Takekawa, John Y., Xiao, Xiangming, Gilbert, Marius and Tildesley, Michael 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). e1006439. doi:10.1371/journal.pcbi.1006439 ISSN 1553-7358.
Koelle, Katia, Probert, William J. M. , Jewell, Chris P., Werkman, Marleen, Fonnesbeck, Christopher J., Goto, Yoshitaka, Runge, Michael C., Sekiguchi, Satoshi, Shea, Katriona, Keeling, Matthew James, Ferrari, Matthew J. and Tildesley, Michael J. (2018) Real-time decision-making during emergency disease outbreaks. PLoS Computational Biology, 14 (7). e1006202. doi:10.1371/journal.pcbi.1006202 ISSN 1553-7358.
Meadows, Amanda J., Mundt, Christopher C., Keeling, Matthew James and Tildesley, Michael J. (2018) Disentangling the influence of livestock vs. farm density on livestock disease epidemics. Ecosphere, 9 (7). e02294. doi:10.1002/ecs2.2294 ISSN 2150-8925.
Sellman, Stefan, Tsao, Kimberly, Tildesley, Michael J., Brommesson, Peter, Webb, Colleen T., Wennergren, Uno, Keeling, Matthew James and Lindström, Tom (2018) Need for speed : an optimized gridding approach for spatially explicit disease simulations. PLOS Computational Biology, 14 (4). e1006086. doi:10.1371/journal.pcbi.1006086 ISSN 1553-7358.
Gilbert, Marius, Prosser, Diann J., Zhang, Geli, Artois, Jean, Dhingra, Madhur S., Tildesley, Michael J., Newman, Scott H., Guo, Fusheng, Black, Peter, Claes, Filip, Kalpradvidh, Wantanee, Shin, YeunKyung, Jeong, Wooseog, Takekawa, John Y., Lee, Hansoo and Xiao, Xiangming (2017) Could changes in the agricultural landscape of northeastern China have influenced the long-distance transmission of highly pathogenic avian influenza H5Nx viruses? Frontiers In Veterinary Science, 4 (225). 04-00225. doi:10.3389/fvets.2017.00225 ISSN 2297-1769.
Hill, Edward M., Tildesley, Michael J. and House, Thomas A. (2017) How predictable are flu pandemics? Significance, 14 (6). pp. 28-33. doi:10.1111/j.1740-9713.2017.01090.x ISSN 1740-9705.
Hill, Edward M., House, Thomas A., Dhingra, Madhur S., Kalpravidh, Wantanee, Morzaria, Subhash, Osmani, Muzaffar G., Yamage, Mat, Xiao, Xiangming, Gilbert, Marius and Tildesley, Michael J. (2017) Modelling H5N1 in Bangladesh across spatial scales : model complexity and zoonotic transmission risk. Epidemics, 20 . pp. 37-55. doi:10.1016/j.epidem.2017.02.007 ISSN 1755-4365.
Li, Shou-Li, Bjørnstad, Ottar N., Ferrari, Matthew J., Mummah, Riley, Runge, Michael C., Fonnesbeck, Christopher J., Tildesley, Michael J., Probert, William J. M. and Shea, Katriona (2017) Essential information : uncertainty and optimal control of Ebola outbreaks. Proceedings of the National Academy of Sciences of the United States of America, 114 (22). pp. 5659-5664. 201617482. doi:10.1073/pnas.1617482114 ISSN 0027-8424.
Hill, Edward M., Tildesley, Michael J. and House, Thomas A. (2017) Evidence for history-dependence of influenza pandemic emergence. Scientific Reports, 7 . 43623. doi:10.1038/srep43623 ISSN 2045-2322.
Webb, Colleen, Ferrari, Matthew, Lindstrom, Tom, Carpenter, Tim, Durr, Salome, Garner, Graeme, Jewell, Chris, Stevenson, Mark, Ward, Michael, Werkman, Marleen, Backer, Jantien and Tildesley, Michael J. (2017) Ensemble modelling and structured decision-making to support emergency disease management. Preventive Veterinary Medicine, 138 . pp. 124-133. ISSN 0167-5877.
Bradbury, Naomi V., Probert, William J. M. , Shea, Katriona, Runge, Michael C., Fonnesbeck, Christopher J., Keeling, Matthew James, Ferrari, Matthew J. and Tildesley, Michael J. (2017) Quantifying the value of perfect information in emergency vaccination campaigns. PLoS Computational Biology, 13 (2). e1005318. doi:10.1371/journal.pcbi.1005318 ISSN 1553-7358.
Pomeroy, L. W., Bansal, S., Tildesley, M., Moreno-Torres, K. I., Moritz, M., Xiao, N., Carpenter, T. E. and Garabed, R. B. (2017) Data-driven models of foot-and-mouth disease dynamics : a review. Transboundary and Emerging Diseases, 64 (3). pp. 716-728. doi:10.1111/tbed.12437 ISSN 1865-1674.
Werkman, Marleen, Tildesley, Michael J., Brooks-Pollock, Ellen and Keeling, Matthew James (2016) Preserving privacy whilst maintaining robust epidemiological predictions. Epidemics, 17 . pp. 35-41. doi:10.1016/j.epidem.2016.10.004 ISSN 1755-4365.
Probert, William J. M. , Shea, Katriona, Fonnesbeck, Christopher J., Runge, Michael C., Carpenter, Tim E., Dürr, Salome, Garner, M. G. (Michael Graeme), Harvey, Neil, Stevenson, Mark A., Webb, Colleen T., Werkman, Marleen, Tildesley, Michael J. and Ferrari, Matthew J. (2016) Decision-making for foot-and-mouth disease control : objectives matter. Epidemics, 15 . pp. 10-19. doi:10.1016/j.epidem.2015.11.002 ISSN 1755-4365.
Dawson, Peter Michael, Werkman, Marleen, Brooks-Pollock, Ellen and Tildesley, Michael J. (2015) Epidemic predictions in an imperfect world : modelling disease spread with partial data. Proceedings of the Royal Society B: Biological Sciences, Volume 282 (Number 1808). Article number 20150205. doi:10.1098/rspb.2015.0205 ISSN 0962-8452.
Lindström, Tom, Tildesley, Michael J. and Webb, Colleen T. (2015) A bayesian ensemble approach for epidemiological projections. PLoS Computational Biology, 11 (4). e1004187. doi:10.1371/journal.pcbi.1004187 ISSN 1553-7358.
Brand, Samuel, Tildesley, Michael J. and Keeling, Matthew James (2015) Rapid simulation of spatial epidemics : a spectral method. Journal of Theoretical Biology, Volume 370 . pp. 121-134. doi:10.1016/j.jtbi.2015.01.027 ISSN 0022-5193.
Shea, Katriona, Tildesley, Michael J., Runge, Michael C., Fonnesbeck, Christopher J. and Ferrari, Matthew J. (2014) Adaptive management and the value of information : learning via intervention in epidemiology. PLoS Biology, 12 (10). e1001970. doi:10.1371/journal.pbio.1001970 ISSN 1545-7885.
Buhnerkempe, Michael G., Tildesley, Michael J., Lindström, Tom, Grear, Daniel A., Portacci, Katie, Miller, Ryan S., Lombard, Jason E., Werkman, Marleen, Keeling, Matthew James, Wennergren, Uno and Webb, Colleen T. (2014) The impact of movements and animal density on continental scale cattle disease outbreaks in the United States. PLoS One, Volume 9 (Number 3). Article number e91724. doi:10.1371/journal.pone.0091724 ISSN 1932-6203.
Van Boeckel, Thomas P., Tildesley, Michael J., Linard, Catherine, Halloy, José, Keeling, Matthew James and Gilbert, Marius (2013) The Nosoi commute : a spatial perspective on the rise of BSL-4 laboratories in cities. UNSPECIFIED. Cornell University: arXiv. (Unpublished)
Porphyre, Thibaud, Auty, Harriet K., Tildesley, Michael J., Gunn, George J. and Woolhouse, M. E. J., (Mark E. J.) (2013) Vaccination against Foot-and-mouth disease : do initial conditions affect its benefit? PLOS ONE, Volume 8 (Number 10). Article number e77616. doi:10.1371/journal.pone.0077616 ISSN 1932-6203.
Yan, Lei, Gao, Yan, Zhang, Yong, Tildesley, Michael J., Liu, L, Zhang, Y, Wen, Leying, Wang, Wei, Li, Xiaodan, Hu, Ying, Bai, Tian, Wang, Min, Zeng, Yuhong, Wang, Dingming, Wang, Xianjun, Lan, Yu, Wang, Shiwen and Shu, Yuelong (2012) Epidemiological and virological characteristics of pandemic influenza A (H1N1) 2009 in school outbreaks in China. PLoS One, Vol.7 (No.9). e45898. doi:10.1371/journal.pone.0045898 ISSN 1932-6203.
Tildesley, Michael J., Smith, Gary and Keeling, Matthew James (2012) Modeling the spread and control of foot-and-mouth disease in Pennsylvania following its discovery and options for control. Preventive Veterinary Medicine, Vol.104 (No.3-4). pp. 224-239. doi:10.1016/j.prevetmed.2011.11.007 ISSN 0167-5877.
Tildesley, Michael J., Gally, D. L., McNeilly, T. N., Low, J. C., Mahajan, A. and Savill, N. J. (2012) Insights into mucosal innate responses to Escherichia coli O157 : H7 colonization of cattle by mathematical modelling of excretion dynamics. Journal of The Royal Society Interface, Vol.9 (No.68). pp. 518-527. doi:10.1098/rsif.2011.0293 ISSN 1742-5689.
Tildesley, Michael J. and Ryan, Sadie J. (2012) Disease prevention versus data privacy : using landcover maps to inform spatial epidemic models. PLoS Computational Biology, Vol.8 (No.11). e1002723. doi:10.1371/journal.pcbi.1002723 ISSN 1553-7358.
Tildesley, Michael J., Volkova, Victoriya and Woolhouse, M. E. J. (Mark E. J.) (2011) Potential for epidemic take-off from the primary outbreak farm via livestock movements. BMC Veterinary Research, Vol.7 (No.1). p. 76. doi:10.1186/1746-6148-7-76 ISSN 1746-6148.
Tildesley, Michael J., House, Thomas A., Bruhn, Mark C., Curry, Ross J., O'Neil, Maggie, Allpress, Justine L. E., Smith, Gary and Keeling, Matthew James (2010) Impact of spatial clustering on disease transmission and optimal control. Proceedings of the National Academy of Sciences of the United States of America, Vol.107 (No.3). pp. 1041-1046. doi:10.1073/pnas.0909047107 ISSN 0027-8424.
Deardon, Rob, Brooks, Stephen. P., Grenfell, Bryan T., Keeling, Matthew James, Tildesley, Michael J., Savill, Nicholas J., Shaw, Darren J. and Woolhouse, Mark E. J. (2010) Inference for individual-level models of infectious diseases in large populations. Statistica Sinica, Vol.20 (No.1). pp. 239-261. ISSN 1017-0405.
Tildesley, Michael J., Bessell, Paul R., Keeling, Matthew James and Woolhouse, Mark E. J. (2009) The role of pre-emptive culling in the control of foot-and-mouth disease. Royal Society of London. Proceedings B. Biological Sciences, Vol.276 (No.1671). pp. 3239-3248. doi:10.1098/rspb.2009.0427 ISSN 0962-8452.
Tildesley, Michael J. and Keeling, Matthew James (2009) Corrigendum to 'Is R-0 a good predictor of final epidemic size: foot-and-mouth disease in the UK': [vol 258, pg 623, 2009]. Journal of Theoretical Biology, Vol.259 (No.4). p. 863. ISSN 0022-5193 doi:10.1016/j.jtbi.2009.05.015
Tildesley, Michael J. and Keeling, Matthew James (2009) Is R0 a good predictor of final epidemic size : foot-and-mouth disease in the UK. Journal of Theoretical Biology, Vol.258 (No.4). pp. 623-629. doi:10.1016/j.jtbi.2009.02.019 ISSN 0022-5193.
Tildesley, Michael J., Deardon, Rob, Savill, Nicholas J., Bessell, Paul R., Brooks, Stephen P., Woolhouse, Mark E. J., Grenfell, Bryan T. and Keeling, Matthew James (2008) Accuracy of models for the 2001 foot-and-mouth epidemic. Proceedings of the Royal Society B. Biological Sciences , Vol.275 (No.1641). pp. 1459-1468. doi:10.1098/rspb.2008.0006 ISSN 0962-8452.
Tildesley, Michael J. and Keeling, Matthew James (2008) Modelling foot-and-mouth disease : a comparison between the UK and Denmark. Preventive Veterinary Medicine, Vol.85 (No.1-2). pp. 107-124. doi:10.1016/j.prevetmed.2008.01.008 ISSN 0167-5877.
Savill, Nicholas J., Shaw, Darren J., Deardon, Rob, Tildesley, Michael J., Keeling, Matthew James, Woolhouse, Mark E. J., Brooks, Stephen P. and Grenfell, Bryan T. (2007) Effect of data quality on estimates of farm infectiousness trends in the UK 2001 foot-and-mouth disease epidemic. Journal of The Royal Society Interface, Vol.4 (No.13). pp. 235-241. doi:10.1098/rsif.2006.0178 ISSN 1742-5689.
Tildesley, Michael J., Savill, Nicholas J., Shaw, Darren J., Deardon, Rob, Brooks, Stephen P., Woolhouse, Mark E. J., Grenfell, Bryan T. and Keeling, Matthew James (2007) Vaccination strategies for foot-and-mouth disease. Nature, Vol.445 (No.7128). E12-E13. ISSN 0028-0836 doi:10.1038/nature05605
Keeling, Matthew James, Tildesley, Michael J., Savill, Nicholas J., Woolhouse, Mark E. J., Shaw, Duncan, Deardon, Rob, Brooks, Stephen P. and Grenfell, Bryan T. (2006) FMD control strategies - Comment. Veterinary Record, Volume 158 (Number 20). pp. 707-708. ISSN 0042-4900 doi:10.1136/vr.158.20.707
Savill, Nicholas J., Shaw, Darren J., Deardon, Rob, Tildesley, Michael J., Keeling, Matthew James, Woolhouse, Mark E. J., Brooks, Stephan P. and Grenfell, Bryan T. (2006) Topographic determinants of foot and mouth disease transmission in the UK 2001 epidemic. BMC Veterinary Research, Vol.2 (No.3). doi:10.1186/1746-6148-2-3 ISSN 1746-6148.
Ryan, S. and Tildesley, Michael J. The utility of land cover maps to inform spatial epidemic models of disease transmission in the UK livestock industry. PLoS Computational Biology .
Title | Funder | Award start | Award end |
---|---|---|---|
Long-Distance Dispersal and Disease Spread Under Increased Ecological Complexity | BBSRC | 01 Jan 2023 | 01 Jul 2027 |
Modelling to inform interventions during Highly Pathogenic Avian Influenza outbreaks | BBSRC | 01 Mar 2024 | 28 Feb 2027 |
EEID US-UK collaborative scheme.Title :Adaptive Surveillance and control for the elimination of endemic disease | BBSRC | 01 Oct 2019 | 31 Jan 2026 |
Epidemic modeling of avian influenza subtype H5N1 in cattle in collaboration with UK and USA | Vinnova - Sweden's Innovation Agency | 01 Nov 2024 | 31 Oct 2025 |
Increase preparedness of the emergence of equine diseases in the UK and react in the case of an outbreak | Horse Race Betting Levy Board | 01 Sept 2023 | 31 Aug 2025 |
Investigation of vaccination strategies to facilitate elimination of foot-and-mouth disease in India: Continuation of record 74203 | Bill & Melinda Gates Foundation | 11 Oct 2023 | 10 Apr 2024 |
Investigating the impact of farmer behaviour and farmer-led control of infectious disease outbreaks in livestock. Re-submission | BBSRC | 01 Oct 2019 | 31 Jan 2024 |
Linking Network Models of Swine Movement Patterns with Potential Disease Outbreak Processes Across the United States to Inform Livestock Risk Assessments | US Department of Agriculture | 15 Jul 2018 | 14 Jul 2022 |
TBC: UK-Canada Doctoral Exchange Scheme ( Helen Wilson) | UK Research and Innovation | 01 Apr 2020 | 31 Mar 2022 |
COVID-19: Mathematical modeling and adaptive control to inform real time decision making for the COVID-19 pandemic. | UK Research and Innovation | 01 May 2020 | 07 Jul 2021 |
Ensemble Prediction for Livestock Disease | US Department of Agriculture | 01 Jul 2017 | 30 Jun 2020 |
Development and testing of Operational Models of Bovine Tuberculosis in British Cattle and Badgers - Phase III & IV | Department for Environment, Food and Rural Affairs | 01 Sept 2016 | 31 Jan 2020 |
Yr4 funds. NIH sub-award via Oklahoma - amendment to Ideate 50953 Transmission Dynamics and Spillover of Avian Influenza under Changing Agricultural Intensification and Landscapes | National Institutes of Health | 01 Jul 2016 | 30 Jun 2019 |
EPSRC GCRF 2017 Institutional - Technology development to improve surveillance and reduce the human health impact of rabies in dogs and in the Philippines | EPSRC | 01 Sept 2017 | 28 Feb 2019 |
US-UK Collab Linking models and policy: Using active adaptive management for optimal control of disease outbreaks | BBSRC | 01 Apr 2016 | 31 Dec 2017 |
US-UK Collab Linking models and policy: Using active adaptive management for optimal control of disease outbreaks. BBSRC/NSF Ecology and Evolution of Infectious Diseases call | BBSRC | 01 Oct 2012 | 30 Sept 2017 |
BBSRC DTC Studentship with IAH 50:50 - Multi-scale inference of foot and mouth disease spread in the UK and Japan | Pirbright Institute, The | 07 Jan 2013 | 06 Jan 2017 |
An adaptive management framework to minimise the impact of avian influenza outbreaks | EPSRC | 01 Sept 2016 | 01 Jan 2017 |
Tildesley NIH sub-award via Oklahoma - amendment to Ideate 35528 Transmission Dynamics and Spillover of Avian Influenza under Changing Agricultural Intensification and Landscapes | National Institutes of Health | 01 Apr 2016 | 30 Jun 2016 |
Transmission dynamics and spillover of avian influenza under changing agricultural intensification and landscapes | National Institutes of Health | 23 Jul 2013 | 30 Jun 2016 |
Sub-award on (US Dept of Homeland Security funded) Spread of animal disease within US Livestock: improving decisions and interventions G-9683-2 | Colorado State University | 27 Apr 2013 | 26 Apr 2014 |
Amendment to existing sub-award for international travel (infoed 31275)(US Dept of Homeland Security funded) Spread of animal disease within US Livestock: improving decisions and interventions G-9683-2 | Colorado State University | 06 Dec 2011 | 26 Apr 2013 |
Sub-award on (US Dept of Homeland Security funded) Spread of animal disease within US Livestock: improving decisions and interventions G-9683-2 | Colorado State University | 12 Jul 2011 | 26 Apr 2013 |
Sub-award on (US Dept of Homeland Security funded) Spread of animal disease within US Livestock: improving decisions and interventions G-9683-2 | Colorado State University | 12 Jul 2011 | 26 Apr 2013 |
Subcontract for Centre of Expertise in Animal Disease Outbreaks (WT grant held by Edinburgh WT079445/Z/06/Z) | Wellcome Trust | 01 Sept 2011 | 30 Aug 2012 |
For PhD and postdoctoral opportunities, and interest in potential collaborations, please contact me at the above email address.