Professor Richard Reeve

  • Professor of Population and Ecosystem Health (Ecology & Environmental Change)

telephone: 01413302792
email: Richard.Reeve@glasgow.ac.uk

Boyd Orr Hub, Room 362, Wolfson Link Building, Glasgow, G12 8QQ

Import to contacts

ORCID iDhttps://orcid.org/0000-0003-2589-8091

Biography

I am the Professor of Population and Ecosystem Health in the School of Biodiversity, One Health and Veterinary Medicine at the University of Glasgow. I am a strong advocate for cross-disciplinary research, and am a co-director of Glasgow's Boyd Orr Centre for Population and Ecosystem Health, an award-winning centre which synthesises the expertise and activities of a group of interdisciplinary researchers interested in the ecological health of populations and ecosystems, with a common interest in quantifying, modelling, and describing ecological processes.

I am a modeller with a background in Mathematics and Artificial Intelligence who has worked in the Life Sciences since 2007, providing expert guidance to FAO, WHO and OIE and the UK’s new Office for Environmental Protection, as well as collaborating with experts advising other national and international bodies including IUCN.

Research interests

I am a modeller in population and ecosystem health with a background in artificial intelligence and machine learning. I moved into the life sciences in 2007 to study diversity. My work focusses on developing the connections between different fields that use diversity measures, from the level of the transcript to the ecosystem, and the underlying mathematics.

My work has most recently focused on the development of measures to accurately characterise different aspects of biodiversity in order to help assess change; the development of digital twins for plant biodiversity to reproduce and predict the impact of climate change and land use decisions on ecosystems at a local, national and continental scale; and the development of pipelines to manage data flows in such complex models to ensure that research outputs are FAIR (Findable, Accessible, Interoperable and Reusable) and are accompanied by accurate provenance, making them traceable to their source data, to enhance confidence in any conclusions based on them that are provided to policy makers.

On the application side, I have a particular focus on the measurement of biodiversity of ecosystems, particularly plants, where we work to assemble the spatially and temporally incomplete global data on plant abundance into an understanding of the impact of climate and land use change on species distributions. I currently work on the impact of Landscape Decision making on biodiversity within the UK, working for several years with Peatland ACTION within NatureScot, Scotland's Nature Agency, and more recently beginning similar work with Natural Resources Wales on Welsh peatland restoration.

On the mathematical side, my interests are in the spatial and temporal partitioning of diversity, and how we can identify areas in an ecosystem or viral phenotypes that are novel, that contribute particularly to overall diversity of the system, or that are changing faster than their surroundings.

I also work on how to use measurements of similarity amongst individuals in diversity measures to improve our understanding of the true diversity of different systems - this has led to work with FAO, WHO and OIE on the antigenic similarity of viruses, especially foot-and-mouth disease and flu, where I work on the relationship between their genotypic and phenotypic evolution. This has applications in vaccine selection, which is a diversity-related problem, in this case one of maximising the diversity of viruses covered by a specific vaccine.

I also work with colleagues interested in the emergence of antimicrobial resistance phenotypes and genotypes, and how we can identify sources of novel phenotypes from their background diversity or similarity to existing strains, and also on the diversity of the major histocompatibility complex in sheep and cattle, and its relationship to disease resistance.

Much of my work involves the application of mathematical, computational and statistical tools to underexploited biological datasets, particularly focussing on pathogens and vaccines, where large amounts of data are collected on protection for testing purposes which can be reused to investigate vaccine:immune system interaction. I am more generally interested in epidemiological systems and host-pathogen interactions, particularly how they affect our ability to predict the effects of vaccines in the real world.

I also recently jointly led a COVID-19 consortium, with my focus being particularly on the development of a data pipeline to trace the pathway from FAIR (Findable, Accessible, Interoperable, Resuable) data all the way through to policy advice.

Google Scholar - Publications Profile

Research groups

Publications

List by: Type | Date

Jump to: 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2007 | 2005 | 2003
Number of items: 63.

2023

Ekwem, D., Enright, J. , Hopcraft, J. G. C. , Buza, J., Shirima, G., Shand, M. , Mwajombe, J. K., Bett, B., Reeve, R. and Lembo, T. (2023) Local and wide-scale livestock movement networks inform disease control strategies in East Africa. Scientific Reports, 13, 9666. (doi: 10.1038/s41598-023-35968-x) (PMID:37316521) (PMCID:PMC10267211)

Harvey, W. T., Davies, V. , Daniels, R. S., Whittaker, L., Gregory, V., Hay, A. J., Husmeier, D. , McCauley, J. W. and Reeve, R. (2023) A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses. PLoS Computational Biology, 19(3), e1010885. (doi: 10.1371/journal.pcbi.1010885) (PMID:36972311) (PMCID:PMC10079231)

2022

Thorpe, H. A. et al. (2022) A large-scale genomic snapshot of Klebsiella spp. isolates in Northern Italy reveals limited transmission between clinical and non-clinical settings. Nature Microbiology, 7(12), pp. 2054-2067. (doi: 10.1038/s41564-022-01263-0) (PMID:36411354) (PMCID:PMC9712112)

Harris, C., Brummitt, N., Cobbold, C. A. and Reeve, R. (2022) Strong phylogenetic signals in global plant bioclimatic envelopes. Global Ecology and Biogeography, 31(11), pp. 2191-2203. (doi: 10.1111/geb.13564)

Dykes, J. et al. (2022) Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210299. (doi: 10.1098/rsta.2021.0299) (PMID:35965467) (PMCID:PMC9376715)

Mitchell, S. N. et al. (2022) FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210300. (doi: 10.1098/rsta.2021.0300) (PMID:35965468) (PMCID:PMC9376726)

McMonagle, C., Brown, D. , Reeve, R. and Mancy, R. (2022) Trends in the diversity of mortality causes and age-standardised mortality rates among subpopulations within Scotland, 2001-2019. SSM - Population Health, 19, 101192. (doi: 10.1016/j.ssmph.2022.101192) (PMID:36039349) (PMCID:PMC9418986)

Shadbolt, N., Brett, A., Chen, M., Marion, G., McKendrick, I. J., Panovska-Griffiths, J., Pellis, L., Reeve, R. and Swallow, B. (2022) The challenges of data in future pandemics. Epidemics, 40, 100612. (doi: 10.1016/j.epidem.2022.100612) (PMID:35930904) (PMCID:PMC9297658)

Chen, M. et al. (2022) RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses. Epidemics, 39, 100569. (doi: 10.1016/j.epidem.2022.100569) (PMID:35597098) (PMCID:PMC9045880)

Dunne, M. et al. (2022) Complex model calibration through emulation, a worked example for a stochastic epidemic model. Epidemics, 39, 100574. (doi: 10.1016/j.epidem.2022.100574) (PMID:35617882) (PMCID:PMC9109972)

2021

Ekwem, D., Morrison, T. , Reeve, R. , Enright, J., Buza, J., Shirima, G., Mwajombe, J. K., Lembo, T. and Hopcraft, J. G. C. (2021) Livestock movement informs the risk of disease spread in traditional production systems in East Africa. Scientific Reports, 11, 16375. (doi: 10.1038/s41598-021-95706-z) (PMID:34385539) (PMCID:PMC8361167)

Sarker, S. K., Reeve, R. and Matthiopoulos, J. (2021) Solving the fourth-corner problem: forecasting ecosystem primary production from spatial multispecies trait-based models. Ecological Monographs, 91(3), e01454. (doi: 10.1002/ecm.1454)

Harvey, W. T. et al. (2021) SARS-CoV-2 variants, spike mutations and immune escape. Nature Reviews Microbiology, 19(7), pp. 409-424. (doi: 10.1038/s41579-021-00573-0) (PMID:34075212) (PMCID:PMC8167834)

Schneider, K., White, T. J., Mitchell, S. , Adams, C. E. , Reeve, R. and Elmer, K. R. (2021) Pitfalls and virtues of population genetic summary statistics: detecting selective sweeps in recent divergences. Journal of Evolutionary Biology, 34(6), pp. 893-909. (doi: 10.1111/jeb.13738) (PMID:33185292)

Peacock, T. P., Sealy, J. E., Harvey, W. T., Benton, D. J., Reeve, R. and Iqbal, M. (2021) Genetic determinants of receptor-binding preference and zoonotic potential of H9N2 avian influenza viruses. Journal of Virology, 95(5), e01651-20. (doi: 10.1128/JVI.01651-20) (PMID:33268517) (PMCID:PMC8092835)

2020

Gilbert, M. et al. (2020) Distemper, extinction and vaccination of the Amur tiger. Proceedings of the National Academy of Sciences of the United States of America, 117(50), pp. 31954-31962. (doi: 10.1073/pnas.2000153117) (PMID:33229566) (PMCID:PMC7749280)

Maake, L., Harvey, W., Rotherham, L., Opperman, P. A., Theron, J., Reeve, R. and Maree, F. F. (2020) Genetic basis of antigenic variation of SAT3 foot-and-mouth disease virus. Frontiers in Veterinary Science, 7, 568. (doi: 10.3389/fvets.2020.00568) (PMID:33102544) (PMCID:PMC7506032)

Nickbakhsh, S. , Mair, C. , Matthews, L. , Reeve, R. , Johnson, P.C.D. , Thorburn, F., Von Wissmann, B., McMenamin, J., Gunson, R.N. and Murcia, P.R. (2020) Reply to Kloepfer and Gern: Independent studies suggest an arms race between influenza and rhinovirus: what next? Proceedings of the National Academy of Sciences of the United States of America, 117(13), pp. 6988-6989. (doi: 10.1073/pnas.2000903117) (PMID:32127475) (PMCID:PMC7132304)

Mohr, S. , Beard, R., Nisbet, A. J., Burgess, S. T.G., Reeve, R. , Denwood, M., Porphyre, T., Zadoks, R. N. and Matthews, L. (2020) Uptake of diagnostic tests by livestock farmers: a stochastic game theory approach. Frontiers in Veterinary Science, 7, 36. (doi: 10.3389/fvets.2020.00036) (PMID:32118060) (PMCID:PMC7012806)

2019

Nickbakhsh, S. et al. (2019) Virus-virus interactions impact the population dynamics of influenza and the common cold. Proceedings of the National Academy of Sciences of the United States of America, 116(52), pp. 27142-27150. (doi: 10.1073/pnas.1911083116) (PMID:31843887) (PMCID:PMC6936719)

Mair, C. , Nickbakhsh, S. , Reeve, R. , McMenamin, J., Reynolds, A., Gunson, R. N., Murcia, P. R. and Matthews, L. (2019) Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models. PLoS Computational Biology, 15(12), e1007492. (doi: 10.1371/journal.pcbi.1007492) (PMID:31834896) (PMCID:PMC6934324)

Railey, A. F., Lankester, F., Lembo, T. , Reeve, R. , Shirima, G. and Marsh, T. (2019) Enhancing livestock vaccination decision-making through rapid diagnostic testing. World Development Perspectives, 16, 100144. (doi: 10.1016/j.wdp.2019.100144) (PMID:32201751) (PMCID:PMC7067263)

Paton, D.J., Reeve, R. , Capozzo, A.V. and Ludi, A. (2019) Estimating the protection afforded by foot-and-mouth disease vaccines in the laboratory. Vaccine, 37(37), pp. 5515-5524. (doi: 10.1016/j.vaccine.2019.07.102) (PMID:31405637)

Allen, L., Reeve, R. , Nousek-McGregor, A. , Villacampa, J. and MacLeod, R. (2019) Are orchid bees useful indicators of the impacts of human disturbance? Ecological Indicators, 103, pp. 745-755. (doi: 10.1016/j.ecolind.2019.02.046)

Davies, V. , Harvey, W. T., Reeve, R. and Husmeier, D. (2019) Improving the identification of antigenic sites in the H1N1 Influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model. Journal of the Royal Statistical Society: Series C (Applied Statistics), 68(4), pp. 859-885. (doi: 10.1111/rssc.12338) (PMID:31598013) (PMCID:PMC6774336)

Sarker, S. K., Matthiopoulos, J. , Mitchell, S. N. , Ahmed, Z. U., Al Mamun, M. B. and Reeve, R. (2019) 1980s–2010s: the world’s largest mangrove ecosystem is becoming homogenous. Biological Conservation, 236, pp. 79-91. (doi: 10.1016/j.biocon.2019.05.011) (PMID:31496538) (PMCID:PMC6716549)

Stefan, T., Matthews, L. , Prada, J. M., Mair, C. , Reeve, R. and Stear, M. J. (2019) Divergent Allele Advantage provides a quantitative model for maintaining alleles with a wide range of intrinsic merits. Genetics, 212(2), pp. 553-564. (doi: 10.1534/genetics.119.302022) (PMID:30952668) (PMCID:PMC6553829)

Armson, B. et al. (2019) Opportunities for enhanced surveillance of foot‐and‐mouth disease in endemic settings using milk samples. Transboundary and Emerging Diseases, 66(3), pp. 1405-1410. (doi: 10.1111/tbed.13146) (PMID:30740915) (PMCID:PMC6563157)

Sarker, S. K., Reeve, R. , Paul, N. K. and Matthiopoulos, J. (2019) Modelling spatial biodiversity in the world’s largest mangrove ecosystem-The Bangladesh Sundarbans: a baseline for conservation. Diversity and Distributions, 25(5), pp. 729-742. (doi: 10.1111/ddi.12887)

Jayaraman, S. et al. (2019) Application of long read sequencing to determine expressed antigen diversity in Trypanosoma brucei infections. PLoS Neglected Tropical Diseases, 13(4), e0007262. (doi: 10.1371/journal.pntd.0007262) (PMID:30943202) (PMCID:PMC6464242)

2018

Peacock, T. P., Harvey, W. T., Sadeyen, J.-R., Reeve, R. and Iqbal, M. (2018) The molecular basis of antigenic variation among A(H9N2) avian influenza viruses. Emerging Microbes and Infections, 7, 176. (doi: 10.1038/s41426-018-0178-y) (PMID:30401826) (PMCID:PMC6220119)

Casey-Bryars, M. et al. (2018) Waves of endemic foot-and-mouth disease in eastern Africa suggest feasibility of proactive vaccination approaches. Nature Ecology and Evolution, 2(9), pp. 1449-1457. (doi: 10.1038/s41559-018-0636-x) (PMID:30082738)

2017

Davies, V. , Reeve, R. , Harvey, W. T., Maree, F. F. and Husmeier, D. (2017) A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution. Computational Statistics, 32(3), pp. 803-843. (doi: 10.1007/s00180-017-0730-6)

Bush, A. et al. (2017) Connecting Earth observation to high-throughput biodiversity data. Nature Ecology and Evolution, 1, 0176. (doi: 10.1038/s41559-017-0176)

Mitchell, S. and Reeve, R. (2017) rdiversity: a package for measuring similarity-sensitive diversity. [Artefact]

2016

Harvey, W. T., Benton, D. J., Gregory, V., Hall, J. P.J., Daniels, R. S., Bedford, T., Haydon, D. T. , Hay, A. J., McCauley, J. W. and Reeve, R. (2016) Identification of low- and high-impact hemagglutinin amino acid substitutions that drive antigenic drift of influenza A(H1N1) viruses. PLoS Pathogens, 12(4), e1005526. (doi: 10.1371/journal.ppat.1005526) (PMID:27057693) (PMCID:PMC4825936)

Sarker, S. K., Reeve, R. , Thompson, J., Paul, N. K. and Matthiopoulos, J. (2016) Are we failing to protect threatened mangroves in the Sundarbans world heritage ecosystem? Scientific Reports, 6, 21234. (doi: 10.1038/srep21234) (PMID:26878801) (PMCID:PMC4754640)

Davies, V. , Reeve, R. , Harvey, W. T. and Husmeier, D. (2016) Selecting random effect components in a sparse hierarchical Bayesian model for identifying antigenic variability. In: Computational Intelligence Methods for Bioinformatics and Biostatistics: 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers. Series: Lecture Notes in Computer Science (9874). Springer, pp. 14-27. ISBN 9783319443317 (doi: 10.1007/978-3-319-44332-4_2)

Mather, A. E., Reeve, R. , Mellor, D. J. , Matthews, L. , Reid-Smith, R. J., Dutil, L., Haydon, D. T. and Reid, S. W.J. (2016) Detection of rare antimicrobial resistance profiles by active and passive surveillance approaches. PLoS ONE, 11(7), e0158515. (doi: 10.1371/journal.pone.0158515) (PMID:27391966) (PMCID:PMC4938605)

Reeve, R. et al. (2016) Tracking the antigenic evolution of foot-and-mouth disease virus. PLoS ONE, 11(7), e0159360. (doi: 10.1371/journal.pone.0159360) (PMID:27448206) (PMCID:PMC4957747)

Reeve, R. , Leinster, T., Cobbold, C. A. , Thompson, J., Brummitt, N., Mitchell, S. N. and Matthews, L. (2016) How to partition diversity. arXiv, (Unpublished)

2015

Bari, F. D., Parida, S., Asfor, A. S., Haydon, D. T. , Reeve, R. , Paton, D. J. and Mahapatra, M. (2015) Prediction and characterization of novel epitopes of serotype A foot-and-mouth disease viruses circulating in East Africa using site-directed mutagenesis. Journal of General Virology, 96, pp. 1033-1041. (doi: 10.1099/vir.0.000051) (PMID:25614587) (PMCID:PMC4631058)

2014

Ikeda, Y., Gilbert, M., Miquelle, D. G., Goodrich, J. M., Reeve, R. , Cleaveland, S. , Matthews, L. and Joly, D. O. (2014) Estimating the potential impact of canine distemper virus on the Amur tiger population (Panthera tigris altaica) in Russia. PLoS ONE, 9(10), e110811. (doi: 10.1371/journal.pone.0110811) (PMID:25354196) (PMCID:PMC4212977)

Bari, F. D., Parida, S., Tekleghiorghis, T., Dekker, A., Sangula, A., Reeve, R. , Haydon, D. T. , Paton, D. J. and Mahapatra, M. (2014) Genetic and antigenic characterisation of serotype A FMD viruses from East Africa to select new vaccine strains. Vaccine, 32(44), pp. 5794-5800. (doi: 10.1016/j.vaccine.2014.08.033) (PMID:25171846) (PMCID:PMC4194315)

Davies, V. , Reeve, R. , Harvey, W., Maree, F. and Husmeier, D. (2014) Sparse Bayesian variable selection for the identification of antigenic variability in the Foot-and-Mouth disease virus. Proceedings of Machine Learning Research, 33, pp. 149-158.

2013

Casey, M.B. et al. (2013) Patterns of foot-and-mouth disease virus distribution in Africa. In: Johnson, N. (ed.) The Role of Animals in Emerging Viral Diseases. Academic Press, pp. 21-38. ISBN 9780124051911 (doi: 10.1016/B978-0-12-405191-1.00002-8)

Matthews, L. et al. (2013) Predicting the public health benefit of vaccinating cattle against Escherichia coli O157. Proceedings of the National Academy of Sciences of the United States of America, 110(40), pp. 16265-16270. (doi: 10.1073/pnas.1304978110)

Lyimo, I.N., Haydon, D. , Russell, T.L., Mbina, K.F., Daraja, A.A., Mbehela, E.M., Reeve, R. and Ferguson, H. (2013) The impact of host species and vector control measures on the fitness of African malaria vectors. Proceedings of the Royal Society of London Series B: Biological Sciences, 280(1754), p. 20122823. (doi: 10.1098/rspb.2012.2823) (PMID:23303548) (PMCID:PMC3574332)

2012

Lyimo, I.N., Haydon, D. , Mbina, K.F., Daraja, A.A., Mbehela, E.M., Reeve, R. and Ferguson, H. (2012) The fitness of African malaria vectors in the presence and limitation of host behaviour. Malaria Journal, 11, 425. (doi: 10.1186/1475-2875-11-425) (PMID:23253167) (PMCID:PMC3547723)

Masden, E.A., Reeve, R. , Desholm, M., Fox, A.D., Furness, R.W. and Haydon, D.T. (2012) Assessing the impact of marine wind farms on birds through movement modelling. Journal of the Royal Society: Interface, 9(74), pp. 2120-2130. (doi: 10.1098/rsif.2012.0121)

Mather, A.E. et al. (2012) The diversity of antimicrobial resistance is different in Salmonella Typhimurium DT104 from co-located animals and humans. Proceedings of the Royal Society of London Series B: Biological Sciences, 279(1740), pp. 2924-2925. (doi: 10.1098/rspb.2012.0614)

Codner, G.F., Stear, M.J., Reeve, R. , Matthews, L. and Ellis, S.A. (2012) Selective forces shaping diversity in the class I region of the major histocompatibility complex in dairy cattle. Animal Genetics, 43(3), pp. 239-249. (doi: 10.1111/j.1365-2052.2011.02239.x) (PMID:22486494)

Mather, A.E. et al. (2012) An ecological approach to assessing the epidemiology of antimicrobial resistance in animal and human populations. Proceedings of the Royal Society of London Series B: Biological Sciences, 279(1733), pp. 1630-1639. (doi: 10.1098/rspb.2011.1975)

2011

Reeve, R. , Cox, S., Smitsaart, E., Beascoechea, C.P., Haas, B., Maradei, E., Haydon, D.T. and Barnett, P. (2011) Reducing animal experimentation in foot-and-mouth disease vaccine potency tests. Vaccine, 29(3), pp. 5467-5473. (doi: 10.1016/j.vaccine.2011.05.056)

2010

Stift, M., Reeve, R. and van Tienderen, P.H. (2010) Inheritance in tetraploid yeast revisited: segregation patterns and statistical power under different inheritance models. Journal of Evolutionary Biology, 23(7), pp. 1570-1578. (doi: 10.1111/j.1420-9101.2010.02012.x) (PMID:20524952)

Lindstrom, J., Reeve, R. and Salvidio, S. (2010) Bayesian salamanders: analysing the demography of an underground population of the European plethodontid Speleomantes strinatii with state-space modelling. BMC Ecology, 10, p. 4. (doi: 10.1186/1472-6785-10-4) (PMID:20122249) (PMCID:PMC2828407)

Reeve, R. et al. (2010) Sequence-based prediction for vaccine strain selection and identification of antigenic variability in foot-and-mouth disease virus. PLoS Computational Biology, 6(12), e1001027. (doi: 10.1371/journal.pcbi.1001027) (PMID:21151576) (PMCID:PMC3000348)

2009

Matthews, L. , Reeve, R. , Woolhouse, M.E.J., Mellor, D. , Pearce, M.C., Allison, L.J., Gunn, G.J., Low, J.C. and Reid, S.W.J. (2009) Exploiting strain diversity to expose transmission heterogeneities and predict the impact of targeting supershedding. Epidemics, 1(4), pp. 221-229. (doi: 10.1016/j.epidem.2009.10.002)

2007

Reeve, R. , van Schaik, A., Jin, C., Hamilton, T., Torben-Nielsen, B. and Webb, B. (2007) Directional hearing in a silicon cricket. BioSystems, 87(2-3), pp. 307-313. (doi: 10.1016/j.biosystems.2006.09.027) (PMID:17034935)

2005

Reeve, R. , Webb, B., Horchler, A., Indiveri, G. and Quinn, R. (2005) New technologies for testing a model of cricket phonotaxis on an outdoor robot. Robotics and Autonomous Systems, 51(1), pp. 41-54. (doi: 10.1016/j.robot.2004.08.010)

Reeve, R. and Hallam, J. (2005) An analysis of neural models for walking control. IEEE Transactions on Neural Networks, 16(3), pp. 733-742. (doi: 10.1109/TNN.2005.844901) (PMID:15941000)

2003

Reeve, R. E. and Webb, B. H. (2003) New neural circuits for robot phonotaxis. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 361(1811), pp. 2245-2266. (doi: 10.1098/rsta.2003.1274) (PMID:14599318)

Webb, B. and Reeve, R. (2003) Reafferent or redundant: integration of phonotaxis and optomotor behavior in crickets and robots. Adaptive Behavior, 11(3), pp. 137-158. (doi: 10.1177/1059712303113001)

This list was generated on Fri Apr 19 00:14:48 2024 BST.
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Number of items: 63.

Articles

Ekwem, D., Enright, J. , Hopcraft, J. G. C. , Buza, J., Shirima, G., Shand, M. , Mwajombe, J. K., Bett, B., Reeve, R. and Lembo, T. (2023) Local and wide-scale livestock movement networks inform disease control strategies in East Africa. Scientific Reports, 13, 9666. (doi: 10.1038/s41598-023-35968-x) (PMID:37316521) (PMCID:PMC10267211)

Harvey, W. T., Davies, V. , Daniels, R. S., Whittaker, L., Gregory, V., Hay, A. J., Husmeier, D. , McCauley, J. W. and Reeve, R. (2023) A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses. PLoS Computational Biology, 19(3), e1010885. (doi: 10.1371/journal.pcbi.1010885) (PMID:36972311) (PMCID:PMC10079231)

Thorpe, H. A. et al. (2022) A large-scale genomic snapshot of Klebsiella spp. isolates in Northern Italy reveals limited transmission between clinical and non-clinical settings. Nature Microbiology, 7(12), pp. 2054-2067. (doi: 10.1038/s41564-022-01263-0) (PMID:36411354) (PMCID:PMC9712112)

Harris, C., Brummitt, N., Cobbold, C. A. and Reeve, R. (2022) Strong phylogenetic signals in global plant bioclimatic envelopes. Global Ecology and Biogeography, 31(11), pp. 2191-2203. (doi: 10.1111/geb.13564)

Dykes, J. et al. (2022) Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210299. (doi: 10.1098/rsta.2021.0299) (PMID:35965467) (PMCID:PMC9376715)

Mitchell, S. N. et al. (2022) FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210300. (doi: 10.1098/rsta.2021.0300) (PMID:35965468) (PMCID:PMC9376726)

McMonagle, C., Brown, D. , Reeve, R. and Mancy, R. (2022) Trends in the diversity of mortality causes and age-standardised mortality rates among subpopulations within Scotland, 2001-2019. SSM - Population Health, 19, 101192. (doi: 10.1016/j.ssmph.2022.101192) (PMID:36039349) (PMCID:PMC9418986)

Shadbolt, N., Brett, A., Chen, M., Marion, G., McKendrick, I. J., Panovska-Griffiths, J., Pellis, L., Reeve, R. and Swallow, B. (2022) The challenges of data in future pandemics. Epidemics, 40, 100612. (doi: 10.1016/j.epidem.2022.100612) (PMID:35930904) (PMCID:PMC9297658)

Chen, M. et al. (2022) RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses. Epidemics, 39, 100569. (doi: 10.1016/j.epidem.2022.100569) (PMID:35597098) (PMCID:PMC9045880)

Dunne, M. et al. (2022) Complex model calibration through emulation, a worked example for a stochastic epidemic model. Epidemics, 39, 100574. (doi: 10.1016/j.epidem.2022.100574) (PMID:35617882) (PMCID:PMC9109972)

Ekwem, D., Morrison, T. , Reeve, R. , Enright, J., Buza, J., Shirima, G., Mwajombe, J. K., Lembo, T. and Hopcraft, J. G. C. (2021) Livestock movement informs the risk of disease spread in traditional production systems in East Africa. Scientific Reports, 11, 16375. (doi: 10.1038/s41598-021-95706-z) (PMID:34385539) (PMCID:PMC8361167)

Sarker, S. K., Reeve, R. and Matthiopoulos, J. (2021) Solving the fourth-corner problem: forecasting ecosystem primary production from spatial multispecies trait-based models. Ecological Monographs, 91(3), e01454. (doi: 10.1002/ecm.1454)

Harvey, W. T. et al. (2021) SARS-CoV-2 variants, spike mutations and immune escape. Nature Reviews Microbiology, 19(7), pp. 409-424. (doi: 10.1038/s41579-021-00573-0) (PMID:34075212) (PMCID:PMC8167834)

Schneider, K., White, T. J., Mitchell, S. , Adams, C. E. , Reeve, R. and Elmer, K. R. (2021) Pitfalls and virtues of population genetic summary statistics: detecting selective sweeps in recent divergences. Journal of Evolutionary Biology, 34(6), pp. 893-909. (doi: 10.1111/jeb.13738) (PMID:33185292)

Peacock, T. P., Sealy, J. E., Harvey, W. T., Benton, D. J., Reeve, R. and Iqbal, M. (2021) Genetic determinants of receptor-binding preference and zoonotic potential of H9N2 avian influenza viruses. Journal of Virology, 95(5), e01651-20. (doi: 10.1128/JVI.01651-20) (PMID:33268517) (PMCID:PMC8092835)

Gilbert, M. et al. (2020) Distemper, extinction and vaccination of the Amur tiger. Proceedings of the National Academy of Sciences of the United States of America, 117(50), pp. 31954-31962. (doi: 10.1073/pnas.2000153117) (PMID:33229566) (PMCID:PMC7749280)

Maake, L., Harvey, W., Rotherham, L., Opperman, P. A., Theron, J., Reeve, R. and Maree, F. F. (2020) Genetic basis of antigenic variation of SAT3 foot-and-mouth disease virus. Frontiers in Veterinary Science, 7, 568. (doi: 10.3389/fvets.2020.00568) (PMID:33102544) (PMCID:PMC7506032)

Nickbakhsh, S. , Mair, C. , Matthews, L. , Reeve, R. , Johnson, P.C.D. , Thorburn, F., Von Wissmann, B., McMenamin, J., Gunson, R.N. and Murcia, P.R. (2020) Reply to Kloepfer and Gern: Independent studies suggest an arms race between influenza and rhinovirus: what next? Proceedings of the National Academy of Sciences of the United States of America, 117(13), pp. 6988-6989. (doi: 10.1073/pnas.2000903117) (PMID:32127475) (PMCID:PMC7132304)

Mohr, S. , Beard, R., Nisbet, A. J., Burgess, S. T.G., Reeve, R. , Denwood, M., Porphyre, T., Zadoks, R. N. and Matthews, L. (2020) Uptake of diagnostic tests by livestock farmers: a stochastic game theory approach. Frontiers in Veterinary Science, 7, 36. (doi: 10.3389/fvets.2020.00036) (PMID:32118060) (PMCID:PMC7012806)

Nickbakhsh, S. et al. (2019) Virus-virus interactions impact the population dynamics of influenza and the common cold. Proceedings of the National Academy of Sciences of the United States of America, 116(52), pp. 27142-27150. (doi: 10.1073/pnas.1911083116) (PMID:31843887) (PMCID:PMC6936719)

Mair, C. , Nickbakhsh, S. , Reeve, R. , McMenamin, J., Reynolds, A., Gunson, R. N., Murcia, P. R. and Matthews, L. (2019) Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models. PLoS Computational Biology, 15(12), e1007492. (doi: 10.1371/journal.pcbi.1007492) (PMID:31834896) (PMCID:PMC6934324)

Railey, A. F., Lankester, F., Lembo, T. , Reeve, R. , Shirima, G. and Marsh, T. (2019) Enhancing livestock vaccination decision-making through rapid diagnostic testing. World Development Perspectives, 16, 100144. (doi: 10.1016/j.wdp.2019.100144) (PMID:32201751) (PMCID:PMC7067263)

Paton, D.J., Reeve, R. , Capozzo, A.V. and Ludi, A. (2019) Estimating the protection afforded by foot-and-mouth disease vaccines in the laboratory. Vaccine, 37(37), pp. 5515-5524. (doi: 10.1016/j.vaccine.2019.07.102) (PMID:31405637)

Allen, L., Reeve, R. , Nousek-McGregor, A. , Villacampa, J. and MacLeod, R. (2019) Are orchid bees useful indicators of the impacts of human disturbance? Ecological Indicators, 103, pp. 745-755. (doi: 10.1016/j.ecolind.2019.02.046)

Davies, V. , Harvey, W. T., Reeve, R. and Husmeier, D. (2019) Improving the identification of antigenic sites in the H1N1 Influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model. Journal of the Royal Statistical Society: Series C (Applied Statistics), 68(4), pp. 859-885. (doi: 10.1111/rssc.12338) (PMID:31598013) (PMCID:PMC6774336)

Sarker, S. K., Matthiopoulos, J. , Mitchell, S. N. , Ahmed, Z. U., Al Mamun, M. B. and Reeve, R. (2019) 1980s–2010s: the world’s largest mangrove ecosystem is becoming homogenous. Biological Conservation, 236, pp. 79-91. (doi: 10.1016/j.biocon.2019.05.011) (PMID:31496538) (PMCID:PMC6716549)

Stefan, T., Matthews, L. , Prada, J. M., Mair, C. , Reeve, R. and Stear, M. J. (2019) Divergent Allele Advantage provides a quantitative model for maintaining alleles with a wide range of intrinsic merits. Genetics, 212(2), pp. 553-564. (doi: 10.1534/genetics.119.302022) (PMID:30952668) (PMCID:PMC6553829)

Armson, B. et al. (2019) Opportunities for enhanced surveillance of foot‐and‐mouth disease in endemic settings using milk samples. Transboundary and Emerging Diseases, 66(3), pp. 1405-1410. (doi: 10.1111/tbed.13146) (PMID:30740915) (PMCID:PMC6563157)

Sarker, S. K., Reeve, R. , Paul, N. K. and Matthiopoulos, J. (2019) Modelling spatial biodiversity in the world’s largest mangrove ecosystem-The Bangladesh Sundarbans: a baseline for conservation. Diversity and Distributions, 25(5), pp. 729-742. (doi: 10.1111/ddi.12887)

Jayaraman, S. et al. (2019) Application of long read sequencing to determine expressed antigen diversity in Trypanosoma brucei infections. PLoS Neglected Tropical Diseases, 13(4), e0007262. (doi: 10.1371/journal.pntd.0007262) (PMID:30943202) (PMCID:PMC6464242)

Peacock, T. P., Harvey, W. T., Sadeyen, J.-R., Reeve, R. and Iqbal, M. (2018) The molecular basis of antigenic variation among A(H9N2) avian influenza viruses. Emerging Microbes and Infections, 7, 176. (doi: 10.1038/s41426-018-0178-y) (PMID:30401826) (PMCID:PMC6220119)

Casey-Bryars, M. et al. (2018) Waves of endemic foot-and-mouth disease in eastern Africa suggest feasibility of proactive vaccination approaches. Nature Ecology and Evolution, 2(9), pp. 1449-1457. (doi: 10.1038/s41559-018-0636-x) (PMID:30082738)

Davies, V. , Reeve, R. , Harvey, W. T., Maree, F. F. and Husmeier, D. (2017) A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution. Computational Statistics, 32(3), pp. 803-843. (doi: 10.1007/s00180-017-0730-6)

Bush, A. et al. (2017) Connecting Earth observation to high-throughput biodiversity data. Nature Ecology and Evolution, 1, 0176. (doi: 10.1038/s41559-017-0176)

Harvey, W. T., Benton, D. J., Gregory, V., Hall, J. P.J., Daniels, R. S., Bedford, T., Haydon, D. T. , Hay, A. J., McCauley, J. W. and Reeve, R. (2016) Identification of low- and high-impact hemagglutinin amino acid substitutions that drive antigenic drift of influenza A(H1N1) viruses. PLoS Pathogens, 12(4), e1005526. (doi: 10.1371/journal.ppat.1005526) (PMID:27057693) (PMCID:PMC4825936)

Sarker, S. K., Reeve, R. , Thompson, J., Paul, N. K. and Matthiopoulos, J. (2016) Are we failing to protect threatened mangroves in the Sundarbans world heritage ecosystem? Scientific Reports, 6, 21234. (doi: 10.1038/srep21234) (PMID:26878801) (PMCID:PMC4754640)

Mather, A. E., Reeve, R. , Mellor, D. J. , Matthews, L. , Reid-Smith, R. J., Dutil, L., Haydon, D. T. and Reid, S. W.J. (2016) Detection of rare antimicrobial resistance profiles by active and passive surveillance approaches. PLoS ONE, 11(7), e0158515. (doi: 10.1371/journal.pone.0158515) (PMID:27391966) (PMCID:PMC4938605)

Reeve, R. et al. (2016) Tracking the antigenic evolution of foot-and-mouth disease virus. PLoS ONE, 11(7), e0159360. (doi: 10.1371/journal.pone.0159360) (PMID:27448206) (PMCID:PMC4957747)

Reeve, R. , Leinster, T., Cobbold, C. A. , Thompson, J., Brummitt, N., Mitchell, S. N. and Matthews, L. (2016) How to partition diversity. arXiv, (Unpublished)

Bari, F. D., Parida, S., Asfor, A. S., Haydon, D. T. , Reeve, R. , Paton, D. J. and Mahapatra, M. (2015) Prediction and characterization of novel epitopes of serotype A foot-and-mouth disease viruses circulating in East Africa using site-directed mutagenesis. Journal of General Virology, 96, pp. 1033-1041. (doi: 10.1099/vir.0.000051) (PMID:25614587) (PMCID:PMC4631058)

Ikeda, Y., Gilbert, M., Miquelle, D. G., Goodrich, J. M., Reeve, R. , Cleaveland, S. , Matthews, L. and Joly, D. O. (2014) Estimating the potential impact of canine distemper virus on the Amur tiger population (Panthera tigris altaica) in Russia. PLoS ONE, 9(10), e110811. (doi: 10.1371/journal.pone.0110811) (PMID:25354196) (PMCID:PMC4212977)

Bari, F. D., Parida, S., Tekleghiorghis, T., Dekker, A., Sangula, A., Reeve, R. , Haydon, D. T. , Paton, D. J. and Mahapatra, M. (2014) Genetic and antigenic characterisation of serotype A FMD viruses from East Africa to select new vaccine strains. Vaccine, 32(44), pp. 5794-5800. (doi: 10.1016/j.vaccine.2014.08.033) (PMID:25171846) (PMCID:PMC4194315)

Davies, V. , Reeve, R. , Harvey, W., Maree, F. and Husmeier, D. (2014) Sparse Bayesian variable selection for the identification of antigenic variability in the Foot-and-Mouth disease virus. Proceedings of Machine Learning Research, 33, pp. 149-158.

Matthews, L. et al. (2013) Predicting the public health benefit of vaccinating cattle against Escherichia coli O157. Proceedings of the National Academy of Sciences of the United States of America, 110(40), pp. 16265-16270. (doi: 10.1073/pnas.1304978110)

Lyimo, I.N., Haydon, D. , Russell, T.L., Mbina, K.F., Daraja, A.A., Mbehela, E.M., Reeve, R. and Ferguson, H. (2013) The impact of host species and vector control measures on the fitness of African malaria vectors. Proceedings of the Royal Society of London Series B: Biological Sciences, 280(1754), p. 20122823. (doi: 10.1098/rspb.2012.2823) (PMID:23303548) (PMCID:PMC3574332)

Lyimo, I.N., Haydon, D. , Mbina, K.F., Daraja, A.A., Mbehela, E.M., Reeve, R. and Ferguson, H. (2012) The fitness of African malaria vectors in the presence and limitation of host behaviour. Malaria Journal, 11, 425. (doi: 10.1186/1475-2875-11-425) (PMID:23253167) (PMCID:PMC3547723)

Masden, E.A., Reeve, R. , Desholm, M., Fox, A.D., Furness, R.W. and Haydon, D.T. (2012) Assessing the impact of marine wind farms on birds through movement modelling. Journal of the Royal Society: Interface, 9(74), pp. 2120-2130. (doi: 10.1098/rsif.2012.0121)

Mather, A.E. et al. (2012) The diversity of antimicrobial resistance is different in Salmonella Typhimurium DT104 from co-located animals and humans. Proceedings of the Royal Society of London Series B: Biological Sciences, 279(1740), pp. 2924-2925. (doi: 10.1098/rspb.2012.0614)

Codner, G.F., Stear, M.J., Reeve, R. , Matthews, L. and Ellis, S.A. (2012) Selective forces shaping diversity in the class I region of the major histocompatibility complex in dairy cattle. Animal Genetics, 43(3), pp. 239-249. (doi: 10.1111/j.1365-2052.2011.02239.x) (PMID:22486494)

Mather, A.E. et al. (2012) An ecological approach to assessing the epidemiology of antimicrobial resistance in animal and human populations. Proceedings of the Royal Society of London Series B: Biological Sciences, 279(1733), pp. 1630-1639. (doi: 10.1098/rspb.2011.1975)

Reeve, R. , Cox, S., Smitsaart, E., Beascoechea, C.P., Haas, B., Maradei, E., Haydon, D.T. and Barnett, P. (2011) Reducing animal experimentation in foot-and-mouth disease vaccine potency tests. Vaccine, 29(3), pp. 5467-5473. (doi: 10.1016/j.vaccine.2011.05.056)

Stift, M., Reeve, R. and van Tienderen, P.H. (2010) Inheritance in tetraploid yeast revisited: segregation patterns and statistical power under different inheritance models. Journal of Evolutionary Biology, 23(7), pp. 1570-1578. (doi: 10.1111/j.1420-9101.2010.02012.x) (PMID:20524952)

Lindstrom, J., Reeve, R. and Salvidio, S. (2010) Bayesian salamanders: analysing the demography of an underground population of the European plethodontid Speleomantes strinatii with state-space modelling. BMC Ecology, 10, p. 4. (doi: 10.1186/1472-6785-10-4) (PMID:20122249) (PMCID:PMC2828407)

Reeve, R. et al. (2010) Sequence-based prediction for vaccine strain selection and identification of antigenic variability in foot-and-mouth disease virus. PLoS Computational Biology, 6(12), e1001027. (doi: 10.1371/journal.pcbi.1001027) (PMID:21151576) (PMCID:PMC3000348)

Matthews, L. , Reeve, R. , Woolhouse, M.E.J., Mellor, D. , Pearce, M.C., Allison, L.J., Gunn, G.J., Low, J.C. and Reid, S.W.J. (2009) Exploiting strain diversity to expose transmission heterogeneities and predict the impact of targeting supershedding. Epidemics, 1(4), pp. 221-229. (doi: 10.1016/j.epidem.2009.10.002)

Reeve, R. , van Schaik, A., Jin, C., Hamilton, T., Torben-Nielsen, B. and Webb, B. (2007) Directional hearing in a silicon cricket. BioSystems, 87(2-3), pp. 307-313. (doi: 10.1016/j.biosystems.2006.09.027) (PMID:17034935)

Reeve, R. , Webb, B., Horchler, A., Indiveri, G. and Quinn, R. (2005) New technologies for testing a model of cricket phonotaxis on an outdoor robot. Robotics and Autonomous Systems, 51(1), pp. 41-54. (doi: 10.1016/j.robot.2004.08.010)

Reeve, R. and Hallam, J. (2005) An analysis of neural models for walking control. IEEE Transactions on Neural Networks, 16(3), pp. 733-742. (doi: 10.1109/TNN.2005.844901) (PMID:15941000)

Reeve, R. E. and Webb, B. H. (2003) New neural circuits for robot phonotaxis. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 361(1811), pp. 2245-2266. (doi: 10.1098/rsta.2003.1274) (PMID:14599318)

Webb, B. and Reeve, R. (2003) Reafferent or redundant: integration of phonotaxis and optomotor behavior in crickets and robots. Adaptive Behavior, 11(3), pp. 137-158. (doi: 10.1177/1059712303113001)

Book Sections

Davies, V. , Reeve, R. , Harvey, W. T. and Husmeier, D. (2016) Selecting random effect components in a sparse hierarchical Bayesian model for identifying antigenic variability. In: Computational Intelligence Methods for Bioinformatics and Biostatistics: 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers. Series: Lecture Notes in Computer Science (9874). Springer, pp. 14-27. ISBN 9783319443317 (doi: 10.1007/978-3-319-44332-4_2)

Casey, M.B. et al. (2013) Patterns of foot-and-mouth disease virus distribution in Africa. In: Johnson, N. (ed.) The Role of Animals in Emerging Viral Diseases. Academic Press, pp. 21-38. ISBN 9780124051911 (doi: 10.1016/B978-0-12-405191-1.00002-8)

Artefact

Mitchell, S. and Reeve, R. (2017) rdiversity: a package for measuring similarity-sensitive diversity. [Artefact]

This list was generated on Fri Apr 19 00:14:48 2024 BST.

Grants

Grants and Awards listed are those received whilst working with the University of Glasgow.

  • Data Extraction and Modelling from Plaint Trait Literature
    Climate Change AI
    2023 - 2024
     
  • Integrating a biodiversity digital twin with a FAIR data pipeline for reproducible science
    Cranfield University
    2023 - 2023
     
  • RAMP VIS: Making Visual Analytics an Integral Part of the Technological Infrastructure for Combating COVID-19
    Engineering and Physical Sciences Research Council
    2021 - 2022
     
  • Open Epidemiology for COVID-19: a transparent, traceable, open source pipeline for reproducible science
    Science and Technology Facilities Council
    2021 - 2022
     
  • Simulating UK plant biodiversity under climate change to aid landscape decision making
    Natural Environment Research Council
    2020 - 2022
     
  • Landscape Decisions: Towards a new framework for using land assets programme
    Natural Environment Research Council
    2019 - 2020
     
  • Construction of FMDV-specific phage-display libraries and epitope identification for improved FMD vaccines generation
    International Veterinary Vaccinology Network
    2019 - 2020
     
  • Protecting poultry from avian influenza H5 and H7 virus infections in South East Asia
    Biotechnology and Biological Sciences Research Council
    2018 - 2020
     
  • BBSRC GCRF Fund Impact Accelerator Extension - Boyd Orr
    Biotechnology and Biological Sciences Research Council
    2017 - 2018
     
  • BBSRC IAAF - Boyd Orr Tanzania Research Accelerator
    Biotechnology and Biological Sciences Research Council
    2016 - 2017
     
  • Mathematical Theory and Biological Applications of Diversity
    Biotechnology and Biological Sciences Research Council
    2016 - 2018
     
  • Improving the efficacy of malaria prevention in an insecticide resistant Africa
    Wellcome Trust
    2016 - 2019
     
  • Quinquennial Core Funds
    Medical Research Council
    2016 - 2021
     
  • An effective vaccination programme for the eradication of foot-and-mouth disease from India
    Biotechnology and Biological Sciences Research Council
    2014 - 2017
     
  • The influence of selective breeding on MHC diversity
    Biotechnology and Biological Sciences Research Council
    2014 - 2017
     
  • Assessing the impact of foot-and-mouth disease vaccination programmes
    Biotechnology and Biological Sciences Research Council
    2013 - 2017
     
  • SULSA LEADERS Application
    Scottish Universities Life Sciences Alliance
    2013 - 2015
     
  • The Mathematics of Biodiversity.
    Biotechnology and Biological Sciences Research Council
    2012 - 2012
     
  • Pirbirght Institute External Research Fellowship
    Biotechnology and Biological Sciences Research Council
    2012 - 2017
     
  • Improving the quality of FMD (Foot-and-mouth disease) vaccines by understanding the correlation of vaccine-induced protection with humoral and cellular inmmune responses
    Biotechnology and Biological Sciences Research Council
    2011 - 2014
     
  • Towards the strategic control of foot-and-mouth disease in Africa: new techniques for a neglected problem
    Biotechnology and Biological Sciences Research Council
    2010 - 2014
     
  • Towards potency by serological assessment - modelling new and archived FMD challenge data from vaccinated cattle
    Institute for Animal Health
    2010 - 2011
     

Supervision

  • Davison, Emily
    Designing advanced statistical inference methods for learning the parameters of a mathematical biodiversity model

Research datasets

Jump to: 2023 | 2021 | 2020 | 2018 | 2016
Number of items: 7.

2023

Gregory, V., Harvey, W., Daniels, R. S., Reeve, R. , Whittaker, L., Halai, C., Douglas, A., Gonsalves, R., Skehel, J. J., Hay, A. J. and McCauley, J. W. (2023) Human seasonal Influenza A(H3N2) haemagglutination inhibition data 1990-2021 from the WHO Collaborating Centre for Reference and Research on Influenza, London, UK. [Data Collection]

2021

Sarker, S. K. , Reeve, R. and Matthiopoulos, J. (2021) Solving the fourth-corner problem: Forecasting ecosystem primary production from spatial multispecies trait-based models. [Data Collection]

2020

Gilbert, M., Sulikhan, N., Uphyrkina, O., Goncharuk, M., Kerley, L., Hernandez Castro, E., Reeve, R. , Seimon, T., McAloose, D., Seryodkin, I. V., Naidenko, S. V., Davis, C. A., Wilkie, G. S., Vattipally, S. , Adamson, W., Hinds, C., Thomson, E. , Willett, B. , Hosie, M. , Logan, N., McDonald, M. , Ossiboff, R. J., Shevtsova, E. I., Belyakin, S., Yurlova, A. A., Osofsky, S. A., Miquelle, D. G., Matthews, L. and Cleaveland, S. (2020) Distemper, extinction and vaccination of the Amur tiger. [Data Collection]

Schneider, K., White, T., Mitchell, S., Adams, C. , Reeve, R. and Elmer, K. (2020) Pitfalls and virtues of population genetic summary statistics: detecting selective sweeps in recent divergences. [Data Collection]

2018

Sarker, S. K., Reeve, R. , Paul, N. K. and Matthiopoulos, J. (2018) Mangrove biodiversity in the Bangladesh Sundarbans. [Data Collection]

Allen, L., Reeve, R. , Mcgregor, A., Villacampa, J. and MacLeod, R. (2018) Are orchid bees useful indicators of the impacts of human disturbance? [Data Collection]

2016

Gregory, V., Harvey, W., Daniels, R. S., Reeve, R. , Whittaker, L., Halai, C., Douglas, A., Gonsalves, R., Skehel, J. J., Hay, A. J., McCauley, J. W. and Haydon, D. (2016) Human former seasonal Influenza A(H1N1) haemagglutination inhibition data 1977-2009 from the WHO Collaborating Centre for Reference and Research on Influenza, London, UK. [Data Collection]

This list was generated on Thu Apr 18 07:55:26 2024 BST.