Publications

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 doi: 10.1136/bmjopen-2021-060739

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) doi: https://doi.org/10.1007/s11538-022-01036-0

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. doi: 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. doi: 10.1093/imammb/dqac007

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. doi: 10.3389/fsysb.2022.876075

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. doi: 10.1016/j.jtbi.2022.111014.

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. doi: 10.1186/s12864-021-08190-0

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. doi: 10.1016/j.cam.2021.113876

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. doi: 10.1371/journal.pcbi.1009436

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. doi: 10.1093/cid/ciaa602

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. doi: 10.1007/s11538-020-00837-5

45. S.N. Menon and J.A. Flegg (2021). Mathematical Modeling Can Advance Wound Healing Research. Advances in Wound Care, 10:6. doi: 10.1089/wound.2019.1132

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). doi: 10.1007/s10915-020-01326-6

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. doi: 10.1016/j.epidem.2020.100393

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. doi: 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.  doi: 10.1098/rsos.191315

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. doi: 10.1007/s11538-020-00706-1

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. doi: 10.1007/s11538-020-00696-0

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. doi: 10.1111/wrr.12773.

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. doi: 10.1186/s12936-018-2631-8.

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. doi:  0.1016/j.jtbi.2019.01.021.

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. doi: 10.1016/j.jtbi.2018.06.008.

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. doi: 10.1186/s12936-018-2442-y.

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. doi: 10.1083/jcb.201607111

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. doi: 10.1093/ofid/ofw229

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. doi: 10.1186/s12942-016-0064-6

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. doi: 10.1186/s12916-015-0445-x

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. doi: 10.3389/fphys.2015.00262

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. doi: 10.1186/s12936-015-0874-1

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. doi: 10.1016/j.jtbi.2015.04.028

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. doi: 10.1371/journal.pmed.1001823

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. doi: 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#

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. doi: 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

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. doi: 10.1111/biom.12307.

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. doi: 10.1016/S1473-3099(15)70032-0

20. Tracking Resistance to Artemisinin Collaboration (2014). The spread of artemisinin resistance in Plasmodium falciparum malaria. New England Journal of Medicine, 371: 411-423. doi: 10.1056/NEJMoa1314981
Full author list available at http://www.nejm.org/doi/full/10.1056/nejmoa1314981

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. doi: 10.1186/1475-2875-13-102

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. doi: 10.1186/1475-2875-12-411

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. doi: 10.1371/journal.pone.0077775

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. doi: 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/

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. doi: 10.4269/ajtmh.13-0129

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. doi: 10.1186/1475-2875-12-249

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. doi: 10.1128/AAC.02350-12.

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. doi: 10.1186/1475-2875-12-35

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. doi: 10.1039/c3ib20252f

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. doi: 10.1073/pnas.1211205110

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. doi: 10.1093/teamat/hrs014

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. doi: 10.1098/rspb.2012.0319

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. doi: 10.1016/j.jtbi.2012.01.043

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. doi: 10.1186/1475-2875-10-339

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. doi: 10.1080/0020739X.2011.644333

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. doi: 10.1007/s11538-010-9514-7

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. doi: 10.1371/journal.pcbi.1000451

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. doi: 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. doi: 10.1111/j.1524-475X.2008.00372.x