Research outputs
Selected research outputs
- Divide-and-conquer: machine-learning integrates mammalian and viral traits with network features to predict virus-mammal associations (Journal article - 2021)
- Predicting mammalian hosts in which novel coronaviruses can be generated. (Journal article - 2021)
- Integration of shared-pathogen networks and machine learning reveals the key aspects of zoonoses and predicts mammalian reservoirs. (Journal article - 2020)
2025
A framework to predict zoonotic hosts under data uncertainty: A case study on betacoronaviruses
Tonelli, A., Blagrove, M. S. C., Wardeh, M., & Di Marco, M. (2025). A framework to predict zoonotic hosts under data uncertainty: A case study on betacoronaviruses. METHODS IN ECOLOGY AND EVOLUTION, 16(3), 611-624. doi:10.1111/2041-210X.14500
2024
Features that matter: Evolutionary signatures can predict viral transmission routes
Wardeh, M., Pilgrim, J., Hui, M., Kotsiri, A., Baylis, M., & Blagrove, M. S. C. (2024). Features that matter: Evolutionary signatures can predict viral transmission routes. PLOS PATHOGENS, 20(10), 29 pages. doi:10.1371/journal.ppat.1012629
Identifying life-history patterns along the fast-slow continuum of mammalian viral carriers.
Tonelli, A., Caceres-Escobar, H., Blagrove, M. S. C., Wardeh, M., & Di Marco, M. (2024). Identifying life-history patterns along the fast-slow continuum of mammalian viral carriers.. Royal Society open science, 11(7), 231512. doi:10.1098/rsos.231512
Meta-analyses of <i>Culex</i> blood-meals indicates strong regional effect on feeding patterns
A framework to predict zoonotic reservoirs under data uncertainty: a case study on betacoronaviruses
2023
Features that matter: evolutionary signatures that predict viral transmission routes
Enhancing Infectious Intestinal Disease diagnosis through metagenomic and metatranscriptomic sequencing of over 1000 human diarrhoeal samples
2022
Reply to: Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation
Blagrove, M. S. C., Baylis, M., & Wardeh, M. (2022). Reply to: Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation. NATURE COMMUNICATIONS, 13(1), 3 pages. doi:10.1038/s41467-022-32747-6
2021
One hundred years of zoonoses research in the Horn of Africa: A scoping review
Cavalerie, L., Wardeh, M., Lebrasseur, O., Nanyingi, M., McIntyre, M., Kaba, M., . . . Mor, S. (n.d.). One hundred years of zoonoses research in the Horn of Africa: A scoping review. Eritrea, Ethiopia, Djibouti, Kenya, Somalia, Somaliland, South Sudan, Sudan and Uganda. doi:10.1371/journal.pntd.0009607
One hundred years of zoonoses research in the Horn of Africa: A scoping review.
Cavalerie, L., Wardeh, M., Lebrasseur, O., Nanyingi, M., McIntyre, K. M., Kaba, M., . . . Mor, S. M. (2021). One hundred years of zoonoses research in the Horn of Africa: A scoping review.. PLoS neglected tropical diseases, 15(7), e0009607. doi:10.1371/journal.pntd.0009607
Divide-and-conquer: machine-learning integrates mammalian and viral traits with network features to predict virus-mammal associations
Wardeh, M., Blagrove, M. S. C., Sharkey, K. J., & Baylis, M. (2021). Divide-and-conquer: machine-learning integrates mammalian and viral traits with network features to predict virus-mammal associations. Nature Communications, 12(1). doi:10.1038/s41467-021-24085-w
Predicting mammalian hosts in which novel coronaviruses can be generated.
Wardeh, M., Baylis, M., & Blagrove, M. S. C. (2021). Predicting mammalian hosts in which novel coronaviruses can be generated.. Nature Communications, 12(1), 780. doi:10.1038/s41467-021-21034-5
2020
Predicting mammalian hosts in which novel coronaviruses can be generated
Wardeh, M., Baylis, M., & Blagrove, M. S. C. (2020). Predicting mammalian hosts in which novel coronaviruses can be generated. doi:10.1101/2020.06.15.151845
Divide and conquer – machine-learning integrates mammalian, viral, and network traits to predict unknown virus-mammal associations
Wardeh, M., Blagrove, M. S. C., Sharkey, K., & Baylis, M. (2020). Divide and conquer – machine-learning integrates mammalian, viral, and network traits to predict unknown virus-mammal associations. doi:10.1101/2020.06.13.150003
Distinct spread of DNA and RNA viruses among mammals amid prominent role of domestic species
Wells, K., Morand, S., Wardeh, M., & Baylis, M. (2020). Distinct spread of DNA and RNA viruses among mammals amid prominent role of domestic species. GLOBAL ECOLOGY AND BIOGEOGRAPHY, 29(3), 470-481. doi:10.1111/geb.13045
Integration of shared-pathogen networks and machine learning reveals the key aspects of zoonoses and predicts mammalian reservoirs.
Wardeh, M., Sharkey, K. J., & Baylis, M. (2020). Integration of shared-pathogen networks and machine learning reveals the key aspects of zoonoses and predicts mammalian reservoirs.. Proceedings. Biological sciences, 287(1920). doi:10.1098/rspb.2019.2882
2019
Bluetongue risk under future climates
Jones, A., Turner, J., Caminade, C. M., Heath, A., Wardeh, M., Kluiters, G., . . . Baylis, M. (2019). Bluetongue risk under future climates. Nature Climate Change, 9(2), 153-157. doi:10.1038/s41558-018-0376-6
The effect of temperature, farm density and foot-and-mouth disease restrictions on the 2007 UK bluetongue outbreak
Turner, J., Jones, A. E., Heath, A. E., Wardeh, M., Caminade, C., Kluiters, G., . . . Baylis, M. (2019). The effect of temperature, farm density and foot-and-mouth disease restrictions on the 2007 UK bluetongue outbreak. Scientific Reports, 9. doi:10.1038/s41598-018-35941-z
2018
Distinct spread of DNA and RNA viruses among mammals amid prominent role of domestic species
Wells, K., Morand, S., Wardeh, M., & Baylis, M. (2018). Distinct spread of DNA and RNA viruses among mammals amid prominent role of domestic species. doi:10.1101/421511
2017
Small animal disease surveillance: GI disease and salmonellosis
Arsevska, E., Singleton, D., Sanchez-Vizcaino, F., Williams, N., Jones, P. H., Smyth, S., . . . Davies, R. H. (2017). Small animal disease surveillance: GI disease and salmonellosis. VETERINARY RECORD, 181(9), 228-232. doi:10.1136/vr.j3642
Co-occurrence of viruses and mosquitoes at the vectors' optimal climate range: An underestimated risk to temperate regions?
Blagrove, M. S. C., Caminade, C., Waldmann, E., Sutton, E. R., Wardeh, M., & Baylis, M. (2017). Co-occurrence of viruses and mosquitoes at the vectors' optimal climate range: An underestimated risk to temperate regions?. PLoS Neglected Tropical Diseases, 11(6). doi:10.1371/journal.pntd.0005604
2016
Canine babesiosis and tick activity monitored using companion animal electronic health records in the UK
Sanchez-Vizcaino, F., Wardeh, M., Heayns, B., Singleton, D. A., Tulloch, J. S. P., McGinley, L., . . . Radford, A. D. (2016). Canine babesiosis and tick activity monitored using companion animal electronic health records in the UK. VETERINARY RECORD, 179(14), 5 pages. doi:10.1136/vr.103908
Small animal disease surveillance: pruritus, and coagulase-positive staphylococci
Sanchez-Vizcaino, F., Singleton, D., Jones, P. H., Heayns, B., Wardeh, M., Radford, A. D., . . . Everitt, S. (2016). Small animal disease surveillance: pruritus, and coagulase-positive staphylococci. VETERINARY RECORD, 179(14), 352-355. doi:10.1136/vr.i5322
Small animal disease surveillance: respiratory disease
Sanchez-Vizcaino, F., Jones, P. H., Menacere, T., Heayns, B., Wardeh, M., Newman, J., . . . McConnell, K. (2016). Small animal disease surveillance: respiratory disease. VETERINARY RECORD, 178(15), 361-364. doi:10.1136/vr.i1815
Using the H-index to assess disease priorities for salmon aquaculture
Murray, A. G., Wardeh, M., & McIntyre, K. M. (2016). Using the H-index to assess disease priorities for salmon aquaculture. PREVENTIVE VETERINARY MEDICINE, 126, 199-207. doi:10.1016/j.prevetmed.2016.02.007
One Health e-Surveillance for Early Detection of Gastrointestinal Disease Outbreaks
Sánchez-Vizcaíno, F., Rowlingson, B., Radford, A. D., Hale, A., Giorgi, E., O’Brien, S. J., . . . Diggle, P. (2016). One Health e-Surveillance for Early Detection of Gastrointestinal Disease Outbreaks. Online Journal of Public Health Informatics, 8(1). doi:10.5210/ojphi.v8i1.6576
SAVSNET: Collating Veterinary Electronic Health Records for Research and Surveillance
Jones, P. H., Radford, A. D., Noble, P. -J. M., Sánchez-Vizcaíno, F., Menacere, T., Heayns, B., . . . Dawson, S. (2016). SAVSNET: Collating Veterinary Electronic Health Records for Research and Surveillance. Online Journal of Public Health Informatics, 8(1). doi:10.5210/ojphi.v8i1.6543
2015
Small animal disease surveillance
Sanchez-Vizcano, F., Jones, P. H., Menacere, T., Heayns, B., Wardeh, M., Newman, J., . . . McConnell, K. (2015). Small animal disease surveillance. VETERINARY RECORD, 177(23), 591-594. doi:10.1136/vr.h6174
Database of host-pathogen and related species interactions, and their global distribution
Wardeh, M., Risley, C., McIntyre, M., Setzkorn, C., & Baylis, M. (2015). Database of host-pathogen and related species interactions, and their global distribution. Scientific Data, 2, 11 pages. doi:10.1038/sdata.2015.49
Lab-based surveillance of toxoplasmosis in pets in the UK
Jones, P., Wardeh, M., Dawson, S., Gaskell, R., Menacere, T., Noble, P. -J., . . . Radford, A. (2015). Lab-based surveillance of toxoplasmosis in pets in the UK. In BSAVA Congress Proceedings 2015 (pp. 471). British Small Animal Veterinary Association. doi:10.22233/9781910443521.63.4
2014
Using open-access taxonomic and spatial information to create a comprehensive database for the study of Mammalian and avian livestock and pet infections
McIntyre, K. M., Setzkorn, C., Wardeh, M., Hepworth, P. J., Radford, A. D., & Baylis, M. (2014). Using open-access taxonomic and spatial information to create a comprehensive database for the study of Mammalian and avian livestock and pet infections. PREVENTIVE VETERINARY MEDICINE, 116(3), 325-335. doi:10.1016/j.prevetmed.2013.07.002
Using open-access taxonomic and spatial information to create a comprehensive database for the study of Mammalian and avian livestock and pet infections
McIntyre, K. M., Setzkorn, C., Wardeh, M., Hepworth, P. J., Radford, A. D., & Baylis, M. (2014). Using open-access taxonomic and spatial information to create a comprehensive database for the study of Mammalian and avian livestock and pet infections. Preventive Veterinary Medicine, 116(3), 325-335. doi:10.1016/j.prevetmed.2013.07.002
2013
A comparative study of three image representations for population estimation mining using remote sensing imagery
Dittakan, K., Coenen, F., Christley, R., & Wardeh, M. (2013). A comparative study of three image representations for population estimation mining using remote sensing imagery. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 8346 LNAI (pp. 253-264). doi:10.1007/978-3-642-53914-5_22
Population estimation mining using satellite imagery
Dittakan, K., Coenen, F., Christley, R., & Wardeh, M. (2013). Population estimation mining using satellite imagery. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 8057 LNCS (pp. 285-296). doi:10.1007/978-3-642-40131-2_25
Argumentation based tools for policy-making
Wardeh, M., Wyner, A., Atkinson, K., & Bench-Capon, T. (2013). Argumentation based tools for policy-making. In Proceedings of the International Conference on Artificial Intelligence and Law (pp. 249-250). doi:10.1145/2514601.2514640
A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery
Dittakan, K., Coenen, F., Christley, R., & Wardeh, M. (2013). A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery. In ADMA'13 (pp. TBA). Hangzhou, China: Springer.
2012
Multi-agent based classification using argumentation from experience
Wardeh, M., Coenen, F., & Bench-Capon, T. (2012). Multi-agent based classification using argumentation from experience. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 25(3), 447-474. doi:10.1007/s10458-012-9197-6
PISA: A framework for multiagent classification using argumentation
Wardeh, M., Coenen, F., & Capon, T. B. (2012). PISA: A framework for multiagent classification using argumentation. DATA & KNOWLEDGE ENGINEERING, 75, 34-57. doi:10.1016/j.datak.2012.03.001
A Model-Based Critique Tool for Policy Deliberation
Wyner, A., Wardeh, M., Bench-Capon, T., & Atkinson, K. (2012). A Model-Based Critique Tool for Policy Deliberation. In Legal Knowledge and Information Systems (JURIX 2012) Vol. 250 (pp. 167-176). doi:10.3233/978-1-61499-167-0-167
2011
Arguing from experience using multiple groups of agents
Wardeh, M., Bench-Capon, T., & Coenen, F. (2011). Arguing from experience using multiple groups of agents. Argument and Computation, 2(1), 51-76. doi:10.1080/19462166.2010.528176
Multi-agent Based Classification Using Argumentation from Experience
Wardeh, M., Coenen, F., Bench-Capon, T., & Wyner, A. (2011). Multi-agent Based Classification Using Argumentation from Experience. In ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II Vol. 6635 (pp. 357-369). Retrieved from https://www.webofscience.com/
2010
Multi-Party Argument from Experience
Wardeh, M., Bench-Capon, T., & Coenen, F. (2010). Multi-Party Argument from Experience. In ARGUMENTATION IN MULTI-AGENT SYSTEMS Vol. 6057 (pp. 216-235). Retrieved from https://www.webofscience.com/
Arguing in Groups
Wardeh, M., Coenen, F., & Bench-Capon, T. (2010). Arguing in Groups. In COMPUTATIONAL MODELS OF ARGUMENT: PROCEEDINGS OF COMMA 2010 Vol. 216 (pp. 475-486). doi:10.3233/978-1-60750-619-5-475
2009
Arguing from Experience to Classifying Noisy Data
Wardeh, M., Coenen, F., & Bench-Capon, T. (2009). Arguing from Experience to Classifying Noisy Data. In DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS Vol. 5691 (pp. 354-365). Retrieved from https://www.webofscience.com/
PADUA: A protocol for argumentation dialogue using association rules
Wardeh, M., Bench-Capon, T., & Coenen, F. (2009). PADUA: A protocol for argumentation dialogue using association rules. Artificial Intelligence and Law, 17(3), 183-215. doi:10.1007/s10506-009-9078-8
Multi-Party Argument from Experience
Wardeh, M., Bench-Capon, T., & Coenen, F. P. (2009). Multi-Party Argument from Experience. In ARGMAS'09 (pp. 207-224). Budapest: AAMAS.
PISA - Pooling Information from Several Agents: Multiplayer Argumentation from Experience
Wardeh, M., Bench-Capon, T., & Coenen, F. (2009). PISA - Pooling Information from Several Agents: Multiplayer Argumentation from Experience. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXV (pp. 133-146). doi:10.1007/978-1-84882-171-2_10
2008
Argument Based Moderation of Benefit Assessment
Wardeh, M., Bench-Capon, T. J. M., & Coenen, F. (2008). Argument Based Moderation of Benefit Assessment. In LEGAL KNOWLEDGE AND INFORMATION SYSTEMS Vol. 189 (pp. 128-137). doi:10.3233/978-1-58603-952-3-128
Arguments from Experience: The PADUA Protocol
Wardeh, M., Bench-Capon, T., & Coenen, F. (2008). Arguments from Experience: The PADUA Protocol. In COMPUTATIONAL MODELS OF ARGUMENT, PROCEEDINGS OF COMMA 2008 Vol. 172 (pp. 405-416). Retrieved from https://www.webofscience.com/
Dynamic rule mining for argumentation based systems
Wardeh, M., Bench-Capon, T., & Coenen, F. (2008). Dynamic rule mining for argumentation based systems. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXIV (pp. 65-78). doi:10.1007/978-1-84800-094-0_6
2007
PADUA protocol:TB Strategies and tactics
Wardeh, M., Bench-Capon, T., & Coenen, F. (2007). PADUA protocol:TB Strategies and tactics. In SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS Vol. 4724 (pp. 465-+). Retrieved from https://www.webofscience.com/