Publications
Refereed conference papers
79. S. Elgart, M.B. Flegg, S. Mehra, and J.A. Flegg (2025). A spatial multiscale mathematical model of plasmodium vivax transmission. Journal of Mathematical Biology, 90(13). https://doi.org/10.1007/s00285-024-02166-w
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78. O. Brown, J.A. Flegg, D. Weiss, and N. Golding (2024). A global mathematical model of climatic suitability for plasmodium falciparum malaria. Malaria Journal, 23(306). https://doi.org/10.1186/s12936-024-05122-7
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77. Md N. Anwar, J.M. McCaw, A.E. Zarebski, R.I. Hickson, and J.A. Flegg (2024). Investigation of p. vivax elimination via mass drug administration: A simulation study. Epidemics, 48:100789 https://doi.org/10.1016/j.epidem.2024.100789
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76. Y. Foo and J.A. Flegg (2024). Haplotype frequency inference from pooled genetic data with a latent multinomial model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. https://doi.org/10.1109/TCBB.2024.3420430
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75. M.K. Tully, S. Dini, J.A. Flegg, J.S. McCarthy, D.J. Price, and J.A. Simpson (2024). Evaluation of a bayesian hierarchical pharmacokinetic–pharmacodynamic model for predicting parasitological outcomes in phase-2 studies of new antimalarial drugs. Antimicrobial Agents and Chemotherapy, 68(9):e00863–24. https://doi.org/10.1128/aac.00863-24
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74. A.W. Waddle, S. Clulow, A. Aquilina, E.L. Sauer, S.W. Kaiser, C. Miller, J.A. Flegg, P.T. Campbell, H. Gallagher, I. Dimovski, Y. Lambreghts, L. Berger, L.F. Skerratt, and R. Shine (2024). Hotspot shelters stimulate frog resistance to chytridiomycosis. Nature, pages 1–6. https://doi.org/10.1038/s41586-024-07582-y
73. M.A. Korsah, S.T. Johnston, K.E. Tiedje, K.P. Day, J.A. Flegg, and C.R. Walker (2024). Mathematical assessment of the role of intervention programs for malaria control. Bulletin of Mathematical Biology, 86(91). https://doi.org/10.1007/s11538-024-01321-0
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72. S. Mehra, P.G. Taylor, J.M. McCaw, and J.A. Flegg (2024). A hybrid transmission model for plasmodium vivax accounting for superinfection, immunity and the hypnozoite reservoir. Journal of Mathematical Biology, 89(1):7. https://doi.org/10.1007/s00285-024-02088-7
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71. J.A. Flegg, A. Kandanaarachchi, P.J. Guerin, A.M. Dondorp, F.H. Nosten, S. Otienoburu Dahlstrom, and N. Golding (2024). Spatio-temporal spread of artemisinin resistance in southeast asia. PLOS Computational Biology, 20(4):e1012017. https://doi.org/10.1371/journal.pcbi.1012017
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70. M. Nain, M. Dhorda, J.A. Flegg, A. Gupta, L.E. Harrison, S. Singh-Phulgenda, S.D. Otienoburu, E. Harriss, P.K. Bharti, B. Behera, M. Rahi, P.J. Guerin, and A. Sharma (2024). Systematic review and geospatial modeling of molecular markers of resistance to artemisinins and sulfadoxine-pyrimethamine in plasmodium falciparum in india. The American Journal of Tropical Medicine and Hygiene, pages tpmd230631–tpmd230631. https://doi.org/10.4269/ajtmh.23-0631
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69. Md N. Anwar, L Smith, A. Devine, S. Mehra, C.R. Walker, E. Ivory, E. Conway, I. Mueller, J.M. McCaw, J.A. Flegg, and R.I. Hickson (2024). Mathematical models of plasmodium vivax transmission: A scoping review. PLOS Computational Biology, 20(3):e1011931. https://doi.org/10.1371/journal.pcbi.1011931
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68. R.J. Tobin, L.E. Harrison, M.K. Tully, I.N.D. Lubis, R Noviyanti, N.M. Anstey, G.S. Rajahram, M.J. Grigg, J.A. Flegg, D.J. Price, and F.M. Shearer (2024). Updating estimates of plasmodium knowlesi malaria risk in response to changing land use patterns across southeast asia. PLoS Negl Trop Dis, 18(1). https://doi.org/10.1371/journal.pntd.0011570
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67. Y. Foo and J.A. Flegg (2024). A spatio-temporal model of multi-marker antimalarial resistance. Journal Royal Society Interface, 21(20230570). https://doi.org/10.1098/rsif.2023.0570
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66. L.E. Harrison, J.A. Flegg, R. Tobin, I.N.D. Lubis, R. Noviyanti, M.J. Grigg, F.M. Shearer, and D.J. Price (2024). A multicriteria framework for disease surveillance site selection: case study for plasmodium knowlesi malaria in indonesia. Royal Society Open Science, 11(230641). https://doi.org/10.1098/rsos.230641
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65. S. Wong, J.A. Flegg, N. Golding, and S. Kandanaarachchi (2023). Comparison of new computational methods for spatial modelling of malaria. Malaria Journal, 22(356). https://doi.org/10.1186/s12936-023-04760-7
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64. D.P.J. Germano, A. Zanca, S.T. Johnston, J.A. Flegg, and J.M. Osborne (2023). Free and interfacial boundaries in individual-based models of multicellular biological systems. Bulletin of Mathematical Biology, 85(111). https://doi.org/10.1007/s11538-023-01214-8
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63. J.R. Crawshaw, J.A. Flegg, M.O. Bernabeu, and J.M. Osborne (2023). Mathematical models of developmental vascular remodelling: A review. PLOS Computational Biology, 19(8):e1011130. https://doi.org/10.1371/journal.pcbi.1011130
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62. C.R. Walker, R.I. Hickson, E. Chang, P. Ngor, S. Sovannaroth, J.A. Simpson, D.J. Price, J.M. McCaw, R.N. Price, J.A. Flegg, and A. Devine (2023). A model for malaria treatment evaluation in the presence of multiple species. Epidemics, 44(100687). https://doi.org/10.1016/j.epidem.2023.100687
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61. R. Araujo, D. Brumley, J. Cursons, K. Day, M. Faria, J.A. Flegg, D. Germano, H. Hunt, P. Hunter, A. Jenner, S. Johnston, J.M. McCaw, P. Maini, C. Miller, W. Muskovic, J. Osborne, M. Pan, V. Rajagopal, N. Shahidi, I. Siekmann, M. Stumpf, and A. Zanca (2023). Frontiers of mathematical biology: A workshop honouring Professor Edmund Crampin. Mathematical Biosciences, page 109007. https://doi.org/10.1016/j.mbs.2023.109007
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60. Md N. Anwar, R.I. Hickson, S. Mehra, D.J. Price, J.M. McCaw, M.B. Flegg, and J.A. Flegg (2023). Optimal interruption of p. vivax malaria transmission using mass drug administration. Bulletin of Mathematical Biology, 85(43). https://doi.org/10.1007/s11538-023-01153-4
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59. G. Remesan, J. A. Flegg, H. M. Byrne (2023). Two–phase model of compressive stress induced on a surrounding hyperelastic medium by an expanding tumour. Journal of Mathematical Biology, 86(18). https://doi.org/10.1007/s00285-022-01851-y
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58. E. Stadler, D. Cromer, S. Mehra, A.I. Adekunle, J.A. Flegg, N.M. Anstey, J.A Watson, C.S. Chu, I. Mueller, L.J. Robinson, T.E. Schlub, M.P. Davenport, and D.S. Khoury (2022). Population heterogeneity in Plasmodium vivax relapse risk. PLoS Negl Trop Dis, 16(12):e0010990. https://doi.org/10.1371/journal.pntd.0010990
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57. J.A. Flegg, G.S. Humphreys, B. Montanez, T. Strickland, Z.J. Jacome-Meza, K.I. Barnes, J. Raman, P.J. Guerin, C.H. Sibley, S. Dahlström Otienoburu (2022). Spatiotemporal spread of Plasmodium falciparum mutations for resistance to sulfadoxine-pyrimethamine across Africa, 1990–2020. PLoS Computational Biology, 18(8): e1010317. https://doi.org/10.1371/journal.pcbi.1010317
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56. S.A. Saeedzai, M.N. Sahak, E. Abdelkareem, M. Van Gurp, L. White, S. Chen, J.A. Flegg, B. Rasool, G. Azim, C. Andersen, M.J. Ahadi, N.M. Achakzai, F.Arifi, A. Abouzeid (2022). COVID-19 morbidity in Afghanistan: a nationwide, population-based seroepidemiological study. BMJ Open, 12:e060739. https://doi.org/10.1136/bmjopen-2021-060739
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55. Md N. Anwar, R.I. Hickson, S. Mehra, J.M. McCaw, J.A. Flegg (2022). A multiscale mathematical model of Plasmodium vivax transmission. Bulletin of Mathematical Biology, 84(81). https://doi.org/10.1007/s11538-022-01036-0
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54. J. Hall, T. Robinson, J.A. Flegg, and J. Wilkinson (2022). First-year and final-year undergraduate students perceptions of university mathematics departments. Mathematics Education Research Journal, 34(2), 189–214. https://doi.org/10.1007/s13394-020-00340-z
53. A. Zanca, J. M. Osborne, S.G. Zaloumis, C.D. Weller, and J.A. Flegg (2022). How quickly does a wound heal? Bayesian calibration of a mathematical model of venous leg ulcer healing. Mathematical Medicine and Biology, 00, 1-19. https://doi.org/10.1093/imammb/dqac007
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52. A. Zanca, J.A. Flegg, and J. M. Osborne (2022). Push or pull? cell proliferation and migration during wound healing. Frontiers in Systems Biology, 2. https://doi.org/10.3389/fsysb.2022.876075
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51. S. Mehra, E. Stadler, D. Khoury, J.M. McCaw and J.A. Flegg (2022). Hypnozoite dynamics for Plasmodium vivax malaria: The epidemiological effects of radical cure. Journal of Theoretical Biology 537: 111014. https://doi.org/10.1016/j.jtbi.2022.111014
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50. D. Maderazo, J.A. Flegg, M. Algama, M. Ramialison, J. Keith (2022). Detection and identification of cis-regulatory elements using change-point and classification algorithms. BMC Genomics 23:78. https://doi.org/10.1186/s12864-021-08190-0
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49. J. Crawshaw, J.A. Flegg, J.M. Osborne (2022). A simple history dependent remeshing technique to increase finite element model stability in elastic surface deformations. Journal of Computational and Applied Mathematics, 405: 113876. https://doi.org/10.1016/j.cam.2021.113876
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48. S. Chen, J.A. Flegg, L.J. White, R. Aguas (2021). Levels of SARS-CoV-2 population exposure are considerably higher than suggested by seroprevalence surveys. PLoS Computational Biology, 17(9): e1009436. https://doi.org/10.1371/journal.pcbi.1009436
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47. R. Ragonnet, J.A. Flegg, S.L. Brilleman, E.W. Tiemersma, Y.A. Melsew, E.S. McBryde, and J.M. Trauer (2021). Revisiting the natural history of pulmonary tuberculosis: a Bayesian estimation of natural recovery and mortality rates. Clinical Infectious Diseases, ciaa602. https://doi.org/10.1093/cid/ciaa602
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46. S. Mehra, J.M. McCaw, M.B. Flegg, P.G. Taylor and J.A. Flegg (2021). Antibody Dynamics for Plasmodium vivax Malaria: A Mathematical Model. Bulletin of Mathematical Biology, 83: 6. https://doi.org/10.1007/s11538-020-00837-5
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45. S.N. Menon and J.A. Flegg (2021). Mathematical Modeling Can Advance Wound Healing Research. Advances in Wound Care, 10:6. https://doi.org/10.1089/wound.2019.1132
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44. J. Droniou, J.A. Flegg, and G.C. Remesan (2020). Numerical solution of a two dimensional tumour growth model with moving boundary. Journal of Scientific Computing, 85(22). https://doi.org/10.1007/s10915-020-01326-6
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43. A. Alahmadi, S. Belet, A. Black, D. Cromer, J.A. Flegg, T. House, P. Jayasundara, J.M. Keith, J.M. McCaw, R. Moss, J.V. Ross, F.M. Shearer, S. Thein Than Tun, L.Walker, J. White, J.M. Whyte, A.W.C. Yan, and A.E. Zarebski (2020). Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges. Epidemics, 100393. https://doi.org/10.1016/j.epidem.2020.100393
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42. M.B. Flegg, M.A. Munoz, K. Smith-Miles, J.A. Flegg, and J.G. Carroll (2020). Parameter estimation of a point-source diffusion-decay morphogen model. Journal of Mathematical Biology, 80:2227-2255. https://doi.org/10.1007/s00285-020-01494-x
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41. D.S. Khoury, S.G. Zaloumis, M.J. Grigg, A. Haque, M.P. Davenport, D. Cromer, M. Rebelo, P. Cao, J.M. McCaw, J.A. Simpson, J.A. Flegg, D.W. Wilson, N.M. Anstey, and J.S. McCarthy (2020). Malaria Parasite Clearance: What Are We Really Measuring? Trends in Parasitology, 36: 414-426. https://doi.org/10.1016/j.pt.2020.02.005
40. A.A. Alahmadi, J.A. Flegg, D.G. Cochrane, C.C. Drovandi, J.M. Keith (2020). A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models, Royal Society Open Science, 7: 191315. https://doi.org/10.1098/rsos.191315
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39. S. Mehra, J.M. McCaw, M.B. Flegg, P.G. Taylor, J.A. Flegg (2020). An activation-clearance model for Plasmodium vivax malaria, Bulletin of Mathematical Biology, 82: 32. https://doi.org/10.1007/s11538-020-00706-1
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38. J.A. Flegg, S.N. Menon, H.M. Byrne, D.L.S. McElwain (2020). A current perspective on wound healing and tumour-induced angiogenesis, Bulletin of Mathematical Biology, 82: 23. https://doi.org/10.1007/s11538-020-00696-0
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37. C.D. Weller, A. Bouguettaya, V. Team, J.A. Flegg, J. Kasza, C. Jayathilake (2020). Associations among patient, treatment, or wound-level factors and venous leg ulcer healing: wound characteristics are the key factors in determining healing outcomes, Wound Repair and Regeneration, 28: 211-218. https://doi.org/10.1111/wrr.12773
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36. S. Sharifi‑Malvajerdi, F. Zhu, C.B. Fogarty, M.P. Fay, R.M. Fairhurst, J.A. Flegg, K. Stepniewska and D.S. Small (2019). Malaria parasite clearance rate regression: an R software package for a Bayesian hierarchical regression model, Malaria Journal, 18: 4. https://doi.org/10.1186/s12936-018-2631-8
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35. C. Jayathilake, P.K. Maini, H.W. Hopf, D.L.S. McElwain, H.M. Byrne, M.B. Flegg, J.A. Flegg (2019). A mathematical model of the use of supplemental oxygen to combat surgical site infection, Journal of Theoretical Biology, 466: 11-23. https://doi.org/10.1016/j.jtbi.2019.01.021
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34. D.L. Maderazo, J.A. Flegg, M.R. Neeland, M.J. de Veer and M.B. Flegg (2018). Physiological factors leading to successful vaccination: a computational approach, Journal of Theoretical Biology, 454: 215-230. https://doi.org/10.1016/j.jtbi.2018.06.008
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33. N.R. Smith, J.M. Trauer, M. Gambhir, J.S. Richards, R.J. Maude, J.M. Keith and J.A. Flegg (2018). Agent-based models of malaria transmission: a systematic review, Malaria Journal, 17: 299. https://doi.org/10.1186/s12936-018-2442-y
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32. Q. Zhang, W.S. Yuen, D. Adhikari, J.A., Flegg, G. Fitzharris, M. Conti, P. Sicinski, I. Nabti, P. Marangos, J. Carroll (2017). Cyclin A2 modulates kinetochore-microtubule attachment in meiosis II. Journal Cell Biology, 216(10): 3133-3143. https://doi.org/10.1083/jcb.201607111
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31. A.R. Taylor, J.A. Flegg, C.C. Holmes, P.J. Guérin, C.H. Sibley, M.D. Conrad, G. Dorsey, P.J. Rosenthal (2017). Artemether-lumefantrine and dihydroartemisinin-piperaquine exert inverse selective pressure on Plasmodium falciparum drug sensitivity associated haplotypes in Uganda. Open Forum Infectious Diseases, 4(1): 1-6. https://doi.org/10.1093/ofid/ofw229
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30. E.P.M. Grist, J.A. Flegg, G. Humphreys, I.S. Mas, T.J.C. Anderson, E.A. Ashley, N.P.J. Day, M. Dhorda, A.M. Dondorp, M.A. Faiz, P.W. Gething, T.T. Hien, T.M. Hlaing, M. Imwong, J. Kindermans, R.J. Maude, M. Mayxay, M. McDew-White, D. Menard, S. Nair, F. Nosten, P.N. Newton, R.N. Price, A. Pukrittayakamee, S. Takala-Harrison, F. Smithuis, N.T. Nguyen, K.M. Tun, N.J. White, B. Witkowski, C.J. Woodrow, R.M. Fairhurst, C. Sibley, P.J. Guerin (2016). Optimal health and disease management using spatial uncertainty: a geographic characterization of emergent artemisinin resistant Plasmodium falciparum distributions in Southeast Asia. International Journal of Health Geographics, 15:37. https://doi.org/10.1186/s12942-016-0064-6
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29. WorldWide Antimalarial Resistance Network (WWARN) WWARN Artemisinin based Combination Therapy (ACT) Africa Baseline Study Group (2015). Clinical determinants of early parasitological response to ACTs in African patients with uncomplicated falciparum malaria: a literature review and meta-analysis of individual patient data. BMC Medicine, 13:212. https://doi.org/10.1186/s12916-015-0445-x
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28. J.A Flegg, S. N. Menon, P.K. Maini, D. L. S. McElwain (2015). On the mathematical modeling of wound healing angiogenesis in skin as a reaction-transport process. Frontiers in Physiology, 6:262. https://doi.org/10.3389/fphys.2015.00262
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27. WorldWide Antimalarial Resistance Network (WWARN) Parasite Clearance Study Group (2015). Baseline data of parasite clearance in patients with falciparum malaria treated with an artemisinin derivative: an individual patient data meta-analysis. Malaria Journal. 14:359. https://doi.org/10.1186/s12936-015-0874-1
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26. J.A Flegg, J. Kasza, I. Darby, C. Weller (2015). Healing of venous ulcers using compression therapy: predictions of a mathematical model. Journal Theoretical Biology, 379: 1-9. https://doi.org/10.1016/j.jtbi.2015.04.028
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25. L.J. White, J.A. Flegg, A.P. Phyo, J. Wiladpai-ngern, D. Bethell, C. Plowe, T. Anderson, S. Nkhoma, S. Nair, R. Tripura, K. Stepniewska, W. Pan-Ngum, K. Silamut, B.S. Cooper, Y. Lubell, E.A. Ashley, C. Nguon, C. M. Chuor, F. Nosten, N.J. White, A.M. Dondorp (2015). Defining the in-vivo phenotype of artemisinin resistant falciparum malaria: A modelling approach. PLoS Medicine, 12(4): e1001823. https://doi.org/10.1371/journal.pmed.1001823
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24. WorldWide Antimalarial Resistance Network (WWARN) AS-AQ Study Group (2015). The Effect of Dosing Strategies on the Therapeutic Efficacy of Artesunate Amodiaquine for Uncomplicated Malaria: A Meta-Analysis of Individual Patient Data. BMC Medicine, 13:66. https://doi.org/10.1186/s12916-015-0301-z
This is a WWARN publication (http://www.wwarn.org/studygroups), published under a Study Group. Full author list available at http://www.biomedcentral.com/1741-7015/13/66#
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23. WorldWide Antimalarial Resistance Network (WWARN) AL Study Group (2015). The effect of dose on the antimalarial efficacy of artemether-lumefantrine: a pooled analysis of individual patient data. Lancet Infectious Diseases, 15(6): 692-702. https://doi.org/10.1016/S1473-3099(15)70024-1
This is a WWARN publication (http://www.wwarn.org/studygroups), published under a Study Group. Full author list available at http://www.thelancet.com/journals/laninf/article/PIIS1473-3099(15)70024-1/fulltext?rss=yes
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22. C.B. Fogarty, M.P. Fay, J.A. Flegg, K. Stepniewska, R.M. Fairhurst, and D.S. Small (2015). Bayesian Hierarchical Regression on Clearance Rates in the Presence of “Lag” and “Tail” Phases with an Application to Malaria Parasites. Biometrics, 71(3): 751–759. https://doi.org/10.1111/biom.12307
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21. K.M. Tun, M. Imwong, K.M. Lwin, A.A. Win, T.M. Hlaing, T. Hlaing, K. Lin, M.P. Kyaw, K. Plewes, M.A. Faiz, M. Dhorda, P. Cheah, S. Pukrittayakamee, E.A. Ashley, T.J.C. Anderson, S. Nair, M. McDew-White, J.A Flegg, E.P.M. Grist, P. Guerin, R. Maude, F. Smithuis, A.M. Dondorp, N.P.J. Day, F. Nosten, N.J. White, C.J. Woodrow (2015). Spread of artemisinin resistant Plasmodium falciparum across Myanmar: a cross-sectional survey of the K13 molecular marker. Lancet Infectious Diseases, 15(4): 415–421. https://doi.org/10.1016/S1473-3099(15)70032-0
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20. Tracking Resistance to Artemisinin Collaboration (2014). Spread of artemisinin resistance in Plasmodium falciparum malaria. New England Journal of Medicine, 371: 411-423. https://doi.org/10.1056/NEJMoa1314981
Full author list available at http://www.nejm.org/doi/full/10.1056/nejmoa1314981
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19. A.R. Taylor, J.A. Flegg, S.L. Nsobya, A. Yeka, M.R. Kamya, P.J. Rosenthal, G. Dorsey, C.H. Sibley, P.J. Guerin and C. Holmes (2014). Estimation of malaria haplotype and genotype frequencies: a statistical approach to overcome the challenge associated with multiclonal infections. Malaria Journal, 13:102. https://doi.org/10.1186/1475-2875-13-102
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18. J.A. Flegg, P.J. Guérin, F. Nosten, E.A. Ashley, A. Pyae Phyo, A.M. Dondorp, R.M. Fairhurst, D. Socheat, S. Borrmann, A. Björkman, A. Mårtensson, M. Mayxay, P.N. Newton, D. Bethell, Y. Se, H. Noedl, M. Diakite, A.A Djimde, T.T. Hien, N.J. White, K. Stepniewska (2013). Optimal sampling designs for estimation of Plasmodium falciparum clearance rates in patients treated with artemisinin derivatives. Malaria Journal, 12:411. https://doi.org/10.1186/1475-2875-12-411
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17. M. Gharbi, J.A. Flegg, B. Pradines, A. Berenger, M. Ndiaye, A.A. Djimdé, C. Roper, V. Hubert, E. Kendjo, M. Venkatesan, P. Brasseur, O. Gaye, A.T. Offianan, L. Penali, J. Le Bras, P. J. Guérin (2013). Surveillance of travellers: an additional tool for tracking antimalarial drug resistance in endemic countries. PLoS One, 8(10): e77775. https://doi.org/10.1371/journal.pone.0077775
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16. WorldWide Antimalarial Resistance Network (WWARN) DP Study Group (2013). The Effect of Dosing Regimens on the Antimalarial Efficacy of Dihydroartemisinin-Piperaquine: A Pooled Analysis of Individual Patient Data. PLoS Medicine, 10(12): e1001564. https://doi.org/10.1371/journal.pmed.1001564
This is a WWARN publication (http://www.wwarn.org/studygroups), published under a Study Group.
Full author list available at http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848996/
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15. J.A. Flegg, C.J.E. Metcalf, M. Gharbi, M. Venkatesan, T. Shewchuk, C.H. Sibley, P.J. Guerin (2013). Trends in antimalarial drug use in Africa. American Journal of Tropical Medicine and Hygiene, 89(5): 857-865. https://doi.org/10.4269/ajtmh.13-0129
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14. J.A. Flegg, A.P. Patil, M. Venkatesan, C. Roper, I. Naidoo, S.I. Hay, C.H.Sibley, P. J. Guerin (2013). Spatio-temporal mathematical modelling of mutations of the dhps gene in African Plasmodium falciparum. Malaria Journal, 12:249. https://doi.org/10.1186/1475-2875-12-249
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13. C.J. Woodrow, S. Dahlström, R. Cooksey, J.A. Flegg, H. Le Nagard, F. Mentré, C. Murillo, D. Ménard, F. Nosten, K. Sriprawat, L. Musset, N. B. Quashie, P. Lim, R. M. Fairhurst, S. L. Nsobya, V. Sinou, H. Noedl, B. Pradines, J.D. Johnson, P.J. Guerin, C. H. Sibley, J. Le Bras (2013). High-throughput analysis of antimalarial susceptibility data by the WWARN In Vitro Analysis and Reporting Tool (IVART). Antimicrobial Agents and Chemotherapy, 57(7): 3121-30. https://doi.org/10.1128/AAC.02350-12
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12. M. Gharbi, J.A. Flegg, V. Hubert, E. Kendjo, J. E. Metcalf, L. Bertaux, P.J. Guérin, J. Le Bras (2013). Longitudinal study assessing the return of chloroquine susceptibility of Plasmodium falciparum in isolates from travellers returning from West and Central Africa, 2000-2011. Malaria Journal, 12:35. https://doi.org/10.1186/1475-2875-12-35
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11. D. Loessner, J.A. Flegg, H.M. Byrne, J.A. Clements, D.W. Hutmacher (2013). Growth of confined cancer spheroids: a combined experimental and mathematical modelling approach. Integrative Biology, 5(3): 597-605. https://doi.org/10.1039/c3ib20252f
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10. S. Takala-Harrison, T.G. Clark, C.G. Jacob, M.P. Cummings, O. Miotto, A.M. Dondorp, M.M. Fukuda, F. Nosten, H. Noedl, M. Imwong, D. Bethell, Y. Se, C. Lon, S. D. Tyner, D. L. Saunders, D. Socheat, F. Ariey, A. Pyae Phyo, P. Starzengruber, H. Fuehrer, P. Swoboda, K. Stepniewska, J.A.Flegg, C. Arze, G. C. Cerqueira, J.C. Silva, S.M. Ricklefs, S.F. Porcella, R.M. Stephens, M. Adams, L.J. Kenefic, S. Campino, S. Auburn, B. MacInnis, D. P. Kwiatkowski, X. Sur, N.J. White, P. Ringwald, C. V. Plowe (2013). Genetic loci associated with delayed clearance of Plasmodium falciparum following artemisinin treatment in Southeast Asia. PNAS, 110(1): 240-245. https://doi.org/10.1073/pnas.1211205110
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9. J.A. Flegg, D.G. Mallet and M. Upton (2013). Students’ approaches to learning a new mathematical model. Teaching Mathematics and Its Applications, 32(1): 28-37. https://doi.org/10.1093/teamat/hrs014
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8. S. N. Menon, J.A. Flegg, S. W. McCue, R. C. Schugart, R. A. Dawson and D. L. S. McElwain (2012). Modelling the interaction of keratinocytes and fibroblasts during normal and abnormal wound healing processes. Proceedings Royal Society B, 279(1741): 3329-3338. https://doi.org/10.1098/rspb.2012.0319
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7. J.A. Flegg, H. M. Byrne, M. B. Flegg, D. L. S. McElwain (2012). Wound healing angiogenesis: the clinical implications of a simple mathematical model. Journal Theoretical Biology, 300: 309–316. https://doi.org/10.1016/j.jtbi.2012.01.043
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6. J.A. Flegg, P. J. Guerin, N.J. White, K. Stepniewska (2011). Standardizing the measurement of parasite clearance in falciparum malaria: the parasite clearance estimator. Malaria Journal, 10:339. https://doi.org/10.1186/1475-2875-10-339
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5. J.A. Flegg, D.G. Mallet, M. Lupton (2011). Students’ perceptions of the relevance of mathematics in engineering. International Journal of Mathematical Education in Science and Technology, 43(6): 717-732. https://doi.org/10.1080/0020739X.2011.644333
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4. J.A. Flegg, H.M. Byrne, D.L.S. McElwain (2010). Mathematical model of hyperbaric oxygen therapy applied to chronic diabetic wounds. Bulletin Mathematical Biology, 72(7): 1867-1891. https://doi.org/10.1007/s11538-010-9514-7
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3. J.A. Flegg, D.L.S. McElwain, H.M. Byrne, I.W. Turner (2009). A three species model to simulate application of hyperbaric oxygen therapy to chronic wounds. PLoS Computational Biology, 5(7): e1000451. https://doi.org/10.1371/journal.pcbi.1000451
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2. J.A. Thackham, D.L.S. McElwain, I.W. Turner (2009). Computational approaches to solving equations arising from wound healing. Bulletin Mathematical Biology, 71(1): 211-246. https://doi.org/10.1007/s11538-008-9360-z
1. J.A. Thackham, D.L.S. McElwain, R.J. Long (2008). The use of hyperbaric oxygen therapy to treat chronic wounds: A review. Wound Repair Regeneration, 16(3): 321–330. https://doi.org/10.1111/j.1524-475X.2008.00372.x
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Refereed conference papers
5. J. Hall, J.A. Flegg, T. Robinson, and H. Wilkinson (2019). First and nal year undergraduate students’ perceptions of university mathematics departments. In A. Weinberg, D. Moore-Russo, H. Soto, and M. Wawro (Eds), Proceedings of the 22nd Annual Conference on Research in Undergraduate Mathematics Education. Oklahoma City, OK, pages 910-917.
4. J. Hall, T. Robinson, J.A. Flegg, J. Wilkinson (2019). Visual representations of undergraduate students’ experiences of university mathematics departments. In S. Otten, A. G. Candela, Z. de Araujo, C. Haines, & C. Munter (Eds.), Proceedings of the 41st Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, St. Louis, USA, pp. 1,494-1,498.
3. J. Hall, T. Robinson, J.A. Flegg, J. Wilkinson (2019). Students’ gendered experiences in undergraduate programs in university mathematics departments. In M. Graven, H. Venkat, A. Essien, & P. Vale (Eds.), Proceedings of the 43rd Conference of the International Group for the Psychology of Mathematics Education, Pretoria, South Africa, pp. 320-327.
2. D.G. Mallet, J.A. Flegg (2011). Towards a classification of criterion referenced assessment models in mathematics courses: student and academic perspectives. In Barton, S. (Ed.), Proceedings of Global Learn Asia Pacific 2011, AACE, Melbourne, Australia, pp. 479-482.
1. M. Burchill, M.B. Flegg, D. Gramotnev, G. Gramotnev, D. Katoshevski, and J.A. Thackham (2008). Ultrasonic manipulation and trapping of airborne nano-particles. In Clay, R. (Ed.), Proceedings of the Australian Institute of Physics 18th National Congress incorporating the 27th AINSE Plasma Science Conference, Adelaide, Australia, pp 9-12.