Adam Dunn

Dr. Adam Dunn, PhD, FAIDH
Professor of Biomedical Informatics, Faculty of Medicine and Health, The University of Sydney

Publications

Published work with preprints have their preprint identifier listed at the end. People I have directly supervised have their names underlined. Altmetric links connect to the individual Altmetric page for the article. Citation counts are most up to date on Google Scholar. Total number of research outputs is 160 including 110 published in journals, 45 presented at conferences, 3 book chapters, 1 book review, and 1 thesis.

Published in Journals (109):

110. H-M Lim, CJ Ng, A Abdullah, M Danee, J Raubenheimer, AG Dunn (2024) Online health information behaviour and its association with statin adherence in patients with high cardiovascular risk: a prospective cohort study, Digital Health, 2024:10. [doi: 10.1177/2055207624124125, altmetric]

109. S Liu, FT Bourgeois, AG Dunn (2024) A comparison of machine learning methods to find clinical trials for inclusion in new systematic reviews from their PROSPERO registrations, Research Synthesis Methods, 15(1):73-85. [doi: 10.1002/jrsm.1672; altmetric]

108. M Page, J Sterne, I Boutron, A Hróbjartsson, JJ Kirkham, T Li, A Lundh, E Mayo-Wilson, J McKenzie, L Stewart, A Sutton, L Bero, AG Dunn, K Dwan, RG Elbers, R Kanukula, J Meerpohl, E Turner, J Higgins (2023), ROB-ME: a tool for assessing risk of bias due to missing evidence in systematic reviews with meta-analysis, BMJ, 383:e076754. [doi: 10.1136/bmj-2023-076754, altmetric]

107. AG Dunn, I Shih, J Ayre, H Spallek (2023) What generative AI means for trust in health communications, Journal of Communication in Healthcare, 16(4):385-388. [doi: 10.1080/17538068.2023.2277489, altmetric]

106. H-M Lim, CJ Ng, A Abdullah, AG Dunn (2023) How do patients with high cardiovascular risk evaluate online health information? A qualitative study, BMC Primary Care, 24:240. [doi: 10.1186/s12875-023-02182-7, altmetric]

105. J Ayre, O Mac, K McCaffery, BR McKay, M Liu, A Rezwan, AG Dunn (2023) New frontiers in health literacy: Using ChatGPT to simplify health information for people in the community, Journal of General Internal Medicine. [doi: 10.1007/s11606-023-08469-w, altmetric]

104. U Naseem, M Khushi, AG Dunn, J Kim (2023) K-PathVQA: Knowledge-aware multimodal representation for pathology visual question answering, IEEE Journal of Biomedical and Health Informatics, Early Access. [doi: 10.1109/JBHI.2023.3294249, altmetric]

103. A Hooimeyer, P Pande, T Lines, J Mirzaei, S Ganeshamoorthy, A Fabbri, L Parker, AG Dunn, B Mintzes (2023) Conflict of interest policies at Australian medical schools, Internal Medicine Journal, accepted 29-May-2023. [doi: 10.1111/imj.16148, altmetric]

102. AG Dunn*, T Purnat*, A Ishizumi, T Nguyen, S Brand (2023) Measuring the burden of infodemics with a research toolkit for connecting information exposure, trust, and health behaviours, Archives of Public Health, 81:102 [doi: 10.1186/s13690-023-01101-7, altmetric]

101. J Ayre, DM Muscat, O Mac, C Bonner, AG Dunn, J Dalmazzo, D Mouwad, K McCaffery (2023) Helping patient educators meet health literacy needs: end-user testing and iterative development of an innovative health literacy editing tool, PEC Innovation, 100162. [doi: 10.1016/j.pecinn.2023.100162, altmetric]

100. H-M Lim, CJ Ng, A Abdullah, J Dalmazzo, W-X Lim, K-H Lee, AG Dunn (2023) Utility and usability evaluation of an information diary tool to measure health information access and exposure among patients with high cardiovascular risk, Frontiers in Public Health, 11:1132397. [doi: 10.3389/fpubh.2023.1132397, altmetric]

99. H-M Lim, CJ Ng, AG Dunn, A Abdullah (2023) Experiences and influences of online health information-seeking about statin use in patients with high cardiovascular risk: a qualitative study, Family Practice, cmad034. [doi: 10.1093/fampra/cmad034, altmetric]

98. C El-Hayek, S Barzegar, N Faux, K Doyle, P Pillai, S Mutch, Alaina Vaisey, R Ward, L Sanci, AG Dunn, M Hellard, J Hocking, K Verspoor, D Boyle (2023) An evaluation of existing text de-identification tools for use with patient progress notes from Australian general practice, International Journal of Medical Informatics, 105021. [doi:10.1016/j.ijmedinf.2023.105021, altmetric]

97. 55 authors including AG Dunn (2023) Towards measuring the burden of infodemics: Methods and results of the 5th WHO Infodemic Management Conference, JMIR Infodemiology, 3:e44207 [doi: 10.2196/44207, altmetric]

96. D Ramjee, CC Pollack, M-L Charpignon, S Gupta, JM Rivera, G El Hayek, AG Dunn, AN Desai, MS Majumder (2023) Is evolving face mask guidance during a pandemic harmful to public perception? An analysis of sentiment and emotion on Twitter: Infodemiology study, Journal of Medical Internet Research, 25:e40706 [doi: 10.2196/40706, altmetric]

95. F Pethani, AG Dunn (2023) Natural language processing for clinical notes in dentistry: a systematic review, Journal of Biomedical Informatics, 138:104282 [doi: 10.1016/j.jbi.2023.104282, altmetric]

94. J Ayre, C Bonner, D Muscat, AG Dunn, E Harrison, J Dalmazzo, D Mouwad, P Aslani, H Shepherd, K McCaffery (2023) Multiple automated health literacy assessments of written health information: Development of the Sydney Health Literacy Lab (SHeLL) Health Literacy Editor v1, JMIR Formative Research, 7:e40645 [doi: 10.2196/40645, altmetric]

93. I Boisvert, AG Dunn, E Lundmark, J Smith-Merry, W Lipworth, A Willink, S Hughes, M Nealon, M Calvert (2023) Disruptions to the hearing health sector, Nature Medicine, 29:19-21 [10.1038/s41591-022-02086-6, altmetric]

92. U Naseem, MKhushi, J Kim, AG Dunn (2023) RHMD: A real-world dataset for health mention classification on Reddit, IEEE Transactions on Computational Social Systems, 10(5):2325-34 [doi: 10.1109/TCSS.2022.3186883, altmetric]

91. V Nguyen,* L Testa,* AL Smith, LA Ellis, AG Dunn, J Braithwaite, M Sarkies  (2022) Unravelling the truth: Examining the evidence for health-related claims made by naturopathic influencers on social media – a retrospective analysis, Health Promotion Perspectives, 12(4):372-380 [doi: 10.34172/hpp.2022.49, altmetric]

90. J Siette, L Dodds, M Prgomet, D Surian, AG Dunn, J Westbrook (2022) Social interactions and quality of life of residents in aged care facilities: a multi-methods study, PLoS ONE, 17(8): e0273412. [doi: 10.1371/journal.pone.0273412, altmetric]

89. U Naseem, M Khushi, J Kim, AG Dunn (2022) Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media, IEEE Transactions on Computational Social Systems, Early View. [doi: 10.1109/TCSS.2022.3184984, altmetric]

88. U Naseem, J Kim, M Khushi, AG Dunn (2022) Robust identification of figurative language in personal health mentions on Twitter, IEEE Transactions on Artificial Intelligence, early access. [doi:10.1109/TAI.2022.3175469, altmetric]

87. R Bashir, AG Dunn (2022) Characteristics of clinical trials associated with early results reporting at ClinicalTrials.gov, Contemporary Clinical Trials, 117:106785. [doi: 10.1016/j.cct.2022.106785; altmetric]

86. H-M Lim, AG Dunn, J-R Lim, A Abdullah, CJ Ng (2022) Association between online health information-seeking and medication adherence: a systematic review and meta-analysis, Digital Health, January 2022. [doi:10.1177/20552076221097784; altmetric]

85. U Naseem, AG Dunn, M Khushi, J Kim (2022) Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT, BMC Bioinformatics, 23:144. [doi: 10.1186/s12859-022-04688-w; altmetric]

84. KY Chen, E Borglund, EC Postema, AG Dunn, FT Bourgeois (2022) Reporting of clinical trial safety results in ClinicalTrials.gov for FDA-approved drugs: a cross-sectional analysis, Clinical Trials, Early View. [doi: 10.1177/17407745221093567; altmetric]

83. Z Shah, AG Dunn (2022) Event detection on Twitter by mapping unexpected changes in streaming data into a spatiotemporal latticeIEEE Transactions on Big Data, 8(2):508-522. [doi: 10.1109/TBDATA.2019.2948594; altmetric]

82. S Amin, L Laranjo, AG Dunn (2022) Social connections influencing e-cigarette use and intentions in Australia: a survey, Journal of Addictive Diseases, 40(3):357-365 [doi:10.1080/10550887.2021.2003145; altmetric]

81. TC Ng, CH Teo, JY Toh, AG Dunn, CJ Ng, TF Ang, A Abdullah, A Syed, HM Lim, K Yin, CS Liew (2022) Factors influencing healthcare seeking in patients with dengue: systematic review, Tropical Medicine and International Health, 27(1):13-27. [doi:10.1111/tmi.13695; altmetric]

80. EA Hennessy, RL Acabchuk, PA Arnold, AG Dunn, YZ Foo, BT Johnson, SR Geange, NR Haddaway, S Nakagawa, W Mapanga, K Mengersen, MJ Page, A Sánchez-Tójar, V Welch, LA McGuinness (2022) Ensuring prevention science research is synthesis-ready for immediate and lasting scientific impact, Prevention Science, 23, 809–820. [doi: 10.1007/s11121-021-01279-8]

79. A Fabbri*, C Hansen Nejstgaard*, Q Grundy, L Bero, AG Dunn, A Mohammad, B Mintzes (2022) Association between conflicts of interest and authors’ positions on harms of varenicline: a cross-sectional analysis, Journal of General Internal Medicine, 37, 290–297. [doi: 10.1007/s11606-021-06915-1].

78. S Liu, FT Bourgeois, AG Dunn (2022) Identifying unreported links between ClinicalTrials. gov trial registrations and their published results, Research Synthesis Methods, 13(3):342-352 [doi:10.1002/jrsm.1545; altmetric]

77. D Surian, FT Bourgeois, AG Dunn (2021) The automation of relevant trial registration screening for systematic review updates: an evaluation study on a large dataset of ClinicalTrials.gov registrations, BMC Medical Research Methodology, 21:281. [doi:10.1186/s12874-021-01485-6; altmetric]

76. MS Steffens, AG Dunn, MD Marques, M Danchin, HO Witteman, JL Leask (2021) Addressing myths and vaccine hesitancy: a randomized trial, Pediatrics, 148(5):e2020049304. [doi: 10.1542/peds.2020-049304; altmetric]

75. 71 authors including AG Dunn (2021) A public health research agenda for managing infodemics: Methods and results of the first WHO infodemiology conference, JMIR Infodemiology, 1(1):e30979. [doi:10.2196/30979; altmetric]

74. AG Dunn, M Steffens, A Dyda, KD Mandl (2021) Knowing when to act: a call for an open misinformation library to guide actionable surveillance, Big Data & Society, January 2021. [doi: 10.1177/20539517211018788; altmetric]

73. BP Geisler, L Zahabi, AE Lang, N Eastwood, E Tennant, L Lukic, E Sharon, H-H Chuang, C-B Kang, K Clayton-Johnson, A Aljaberi, H Yu, C Bui, TL Mau, W-C Li, D Teodorescu, LC Hinske, DL Sun, FA Manian, AG Dunn (2021) Repurposing Existing Medications for Coronavirus Disease 2019: Protocol for a Rapid and Living Systematic Review, Systematic Reviews, 10:143. [doi: 10.1186/s13643-021-01693-7; PROSPERO: CRD42020175648; altmetric]

72. R Bashir, AG Dunn, D Surian (2021) A rule-based approach for automatically extracting data from systematic reviews and their updates to model the risk of conclusion change, Research Synthesis Methods. 2021:1-10. [doi: 10.1002/jrsm.1473; altmetric]

71. S Amin, L Laranjo, AG Dunn (Online Early) Why do people start or stop using e-cigarettes in Australia? A qualitative interview-based study, Health Promotion Journal of Australia, 32(S2):358-366. [doi: 10.1002/hpja.442; altmetric]

70. MS Steffens, AG Dunn, J Leask, KE Wiley (2020) Using social media for vaccination promotion: practices and challenges, Digital Health, January 2020. [doi: 10.1177/2055207620970785; altmetric]

69. AG Dunn, D Surian, J Dalmazzo, D Rezazadegan, M Steffens, A Dyda, J Leask, E Coiera, A Dey, KD Mandl (2020) Limited role of bots in spreading vaccine critical information on social media: an analysis of exposure and engagement among active Twitter users in the United States, 2017-2019, American Journal of Public Health, 110, S319-S325. [doi: 10.2105/AJPH.2020.305902; altmetric]

68. HM Lim, AG Dunn; SMF Ooi, CH Teo; A Abdullah; WJ Woo, CJ Ng (2020) mHealth Adoption among Primary Care Physicians in Malaysia and its Associated Factors: A Cross-Sectional Study, Family Practice, cmaa103. [doi: 10.1093/fampra/cmaa103; altmetric]

67. A Dyda, C King, J Leask, AG Dunn (2020) A systematic review of studies that measure parental vaccine attitudes and beliefs in childhood vaccination, BMC Public Health, 20:1253. [doi: 10.1186/s12889-020-09327-8; altmetric]

66. S Amin, AG Dunn, L Laranjo (2020) Exposure to e-cigarette information and advertising in social media and e-cigarette use in Australia: A mixed methods study, Drug and Alcohol Dependence, 213:108112. [doi: 10.1016/j.drugalcdep.2020.108112; altmetric]

65. R Moynihan, L Albarqouni, C Nagla, AG Dunn, J Lexchin, L Bero (2020) Financial ties between leaders of influential US professional medical associations and industry: cross sectional study, BMJ, 369:m1505. [doi: 10.1136/bmj.m1505; altmetric]

64. AG Dunn (2020) Will online symptom checkers improve healthcare in Australia?, Medical Journal of Australia, 212(11):512-513. [doi: 10.5694/mja2.50621; altmetric]

63. AG Dunn, FT Bourgeois (2020) Is it time for computable evidence synthesis? Journal of the American Medical Informatics Association, ocaa035. [doi: 10.1093/jamia/ocaa035; altmetric]

62. Q Grundy, AG Dunn, L Bero (2020) Improving researchers’ conflict of interest declarations. BMJ, 368:m422. [doi: 10.1136/bmj.m422; altmetric]

61. S Nakagawa, AG Dunn, M Lagisz, A Bannach-Brown, EM Grames, A Sánchez-Tójar, R O’Dea, DWA Noble, MJ Westgate, PA Arnold, S Barrow, A Bethel, E Cooper, YZ Foo, S Geange, E Hennessy, W Mapanga, K Mengersen, C Munera, MJ Page, V Welch, Evidence Synthesis Hackathon 2019 Participants, NR Haddaway (2020) A New Ecosystem for Evidence Synthesis. Nature Ecology & Evolution, 2020, 4:498-501. [doi: 10.1038/s41559-020-1153-2; altmetric].

60. E Harrison, P Martin, D Surian, AG Dunn (2020) Recommending research articles to consumers of online vaccination information. Quantitative Science Studies, 1(2):810-823. [preprint: arXiv:1914.11886; altmetric].

59. S Amin, AG Dunn, L Laranjo (2020) Social influence in the uptake and use of e-cigarettes: a systematic reviewAmerican Journal of Preventive Medicine, 58(1):129-41. [doi: 10.1016/j.amepre.2019.08.023; altmetric].

58. C Klein, P Clutton, AG Dunn (2019). Pathways to conspiracy: the social and linguistic precursors of involvement in Reddit’s conspiracy theory forum. PLoS One, 14(11):e0225098. [preprint: psyarxiv:8vesf; doi: 10.1371/journal.pone.0225098; altmetric].

57. H Zhang*, C Wheldon*, AG Dunn, C Tao, J Huo, R Zhang, M Prosperi, Y Guo, J Bian (2019) Mining Twitter to assess the determinants of health behavior towards human papillomavirus vaccination in the United StatesJournal of the American Medical Informatics Association, ocz191. [preprint: arXiv:1907.11624; doi: 10.1093/jamia/ocz191; altmetric].

56. Z Shah, D Surian, A Dyda, E Coiera, KD Mandl, AG Dunn (2019) Automatically applying a credibility appraisal tool to track vaccination-related communications shared on social mediaJournal of Medical Internet Research, 21(11):e14007. [doi: 10.2196/14007; preprint: arXiv:1903.07219; altmetric].

55. M Steffens, AG Dunn, KE Wiley, J Leask (2019) How organisations promoting vaccination respond to misinformation on social media: a qualitative investigationBMC Public Health, 19:1348. [doi:10.1186/s12889-019-7659-3; altmetric].

54. D Surian, V Kim, R Menon, AG Dunn, V Sintchenko, E Coiera (2019) Tracking a user moving in dynamic indoor environments using Bluetooth low energy beaconsJournal of Biomedical Informatics, In Press. [doi: 10.1016/j.jbi.2019.103288; altmetric]

53. Z Shah, P Martin, E Coiera, KD Mandl, AG Dunn (2019) Modeling spatiotemporal factors associated with sentiment on Twitter: Synthesis and suggestions for improving the identification of localized deviationsJournal of Medical Internet Research, 21(5):e12881. [doi: 10.2196/12881; preprint: arXiv:1802.07859; altmetric].

52. A Dyda, Z Shah, D Surian, P Martin, E Coiera, A Dey, J Leask, AG Dunn (2019) HPV vaccine coverage in Australia and associations with HPV vaccine information exposure among Australian Twitter users, Human Vaccines & Immunotherapeutics, 15:1488-95. [doi: 10.1080/21645515.2019.1596712; altmetric]

51. R Bashir, D Surian, AG Dunn (2019) The risk of conclusion change in systematic review updates can be estimated by learning from a database of published examplesJournal of Clinical Epidemiology, 110:42-49.[doi:10.1016/j.jclinepi.2019.02.015; altmetric]

50. R Bashir, AG Dunn (2019) Software engineering principles address current problems in the systematic review ecosystemJournal of Clinical Epidemiology, 109:136-141. [doi:10.1016/j.jclinepi.2018.12.014; altmetric]

49. AG Dunn, L Orenstein, E Coiera, KD Mandl, FT Bourgeois (2019) The timing and frequency of trial inclusion in systematic reviews of type 2 diabetes drugs was associated with trial characteristicsJournal of Clinical Epidemiology, 109:62-69.[doi:10.1016/j.jclinepi.2019.01.009; altmetric]

48. P Martin, D Surian, R Bashir, FT Bourgeois, AG Dunn (2019) Trial2rev: Combining machine learning and crowd-sourcing to create a shared space for updating systematic reviewsJAMIA Open, ooy062. [doi: 10.1093/jamiaopen/ooy062; altmetric]

47. R Bashir, D Surian, AG Dunn (2018) Time-to-update of systematic reviews relative to the availability of new primary evidenceSystematic Reviews, 7:195 [doi: 10.1186/s13643-018-0856-9; altmetric]

46. L Trinquart, AG Dunn, FT Bourgeois (2018) Registration of published randomized trials: a systematic review and meta-analysisBMC Medicine, 16:173. [doi: 10.1186/s12916-018-1168-6; altmetric]

45. AG Dunn, KD Mandl, E Coiera (2018) Social media interventions for precision public health: promises and risksnpj Digital Medicine, 1:47. [doi: 10.1038/s41746-018-0054-0; altmetric]

44. L Laranjo*, AG Dunn*, HL Tong, AB Kocaballi, J Chen, R Bashir, D Surian, B Gallego, F Magrabi, AYS Lau, E Coiera (2018) Conversational agents in healthcare: a systematic reviewJournal of the American Medical Informatics Association, ocy072. [doi: 10.1093/jamia/ocy072; altmetric]

43. D SurianAG Dunn, L Orenstein, R Bashir, E Coiera, FT Bourgeois (2018) A shared latent space matrix factorisation method for recommending new trial evidence for systematic review updatesJournal of Biomedical Informatics, 79:32-40.

42. Q Grundy*, AG Dunn*, FT Bourgeois, E Coiera, L Bero (2018) Prevalence of Disclosed Conflicts of Interest in Biomedical Research and Associations With Journal Impact Factors and Altmetric ScoresJAMA, 319(4):408-409. [doi: 10.1001/jama.2017.20738; altmetric]

41. AG Dunn, E Coiera, FT Bourgeois (2018) Unreported links between trial registrations and published articles were identified using document similarity measures in a cross-sectional analysis of ClinicalTrials.gov, Journal of Clinical Epidemiology, 95:94-101.
[doi: 10.1016/j.jclinepi.2017.12.007; altmetric; preprint: arXiv:1709.02116]

40. M SteffensAG Dunn, J Leask (2017) Meeting the challenges of reporting on public health in the new media landscapeAustralian Journalism Review, 39(2):121-134.

39. G Shapiro, D Surian, AG Dunn, R Perry, M Kelaher (2017) Comparing human papillomavirus vaccine concerns on Twitter: A cross-sectional study of users in Australia, Canada, and the United KingdomBMJ Open, 7:e016869. [doi: 10.1136/bmjopen-2017-016869; altmetric]

38. R Bashir, FT Bourgeois, AG Dunn (2017) A systematic review of the processes used to link clinical trial registrations to their published resultsSystematic Reviews, 6:123. [doi: 10.1186/s13643-017-0518-3; altmetric]

37. S RaichandAG Dunn, M-S Ong, FT Bourgeois, E Coiera, KD Mandl (2017) Conclusions in systematic reviews of mammography for breast cancer screening and associations with review design and author characteristicsSystematic Reviews, 6:105[doi: 10.1186/s13643-017-0495-6; altmetric]

36. AG Dunn, D Surian, J Leask, A Dey, KD Mandl, E Coiera (2017) Mapping information exposure on social media to explain differences in HPV vaccine coverage in the United StatesVaccine, 35(23):3033-3040. [doi: 10.1016/j.vaccine.2017.04.060; altmetric]

35. R Bashir, AG Dunn (2016) A systematic review protocol assessing the processes for linking clinical trial registries and their published resultsBMJ Open, 6(10):e013048 [doi: 10.1136/bmjopen-2016-013048; altmetric]

34. D Surian, DQ Nguyen, G Kennedy, M Johnson, E Coiera, AG Dunn (2016) Characterizing Twitter discussions about HPV vaccines using topic modelling and community detectionJournal of Medical Internet Research, 18(8):e232. [doi: 10.2196/jmir.6045; altmetric]

33. AG Dunn, X Zhou, J Hudgins, D Arachi, KD Mandl, E Coiera, FT Bourgeois. (2016) Financial competing interests were associated with favourable conclusions and greater author productivity in non-systematic reviews of neuraminidase inhibitorsJournal of Clinical Epidemiology, 80:43-49. [doi: 10.1016/j.jclinepi.2016.07.010; altmetric]

32. AG Dunn (2016) Set up a public registry of competing interestsNature, 533:9. [doi:10.1038/533009a; altmetric]

31. AG Dunn, E Coiera, KD Mandl, FT Bourgeois (2016) Conflict of interest disclosure in biomedical research: A review of current practices, biases, and the role of public registries in improving transparency. Research Integrity and Peer Review, 1:1. [doi:10.1186/s41073-016-0006-7 ; altmetric]

30. AG Dunn, J Leask, X Zhou, KD Mandl, E Coiera (2015) Associations between exposure and expression of negative opinions about human papillomavirus vaccines on social media: an observational studyJournal of Medical Internet Research, 17(6):e144. [doi:10.2196/jmir.4343 ; altmetric]

29. B Gallego, SR Walter, RO Day, AG Dunn, V Sivaraman, N Shah, CA Longhurst, E Coiera (2015) Bringing cohort studies to the bedside: Framework for a ‘green button’ to support clinical decision-makingJournal of Comparative Effectiveness Research, 4(3):191-197. [doi:10.2217/cer.15.12 ; altmetric]

28. X Zhou, Y Wang, G Tsafnat, E Coiera, FT Bourgeois, AG Dunn (2015) Citations alone were enough to predict favourable conclusions in reviews of neuraminidase inhibitors. Journal of Clinical Epidemiology, 68(1):87-93.

27. AG Dunn, D Arachi, J Hudgins, G Tsafnat, E Coiera, FT Bourgeois (2014) Financial Conflicts of Interest and Conclusions About Neuraminidase Inhibitors for Influenza: An Analysis of Systematic ReviewsAnnals of Internal Medicine; 161(7):513-518.
[doi:10.7326/M14-0933 ; altmetric] [post-print pdf]

26. AG Dunn, E Coiera (2014) Should comparative effectiveness research ignore industry-funded data? Journal of Comparative Effectiveness Research, 3(4):317–320. [doi: 10.2217/cer.14.31 ; altmetric]

25. AG Dunn, E Coiera, KD Mandl (2014) Is Biblioleaks Inevitable? Journal of Medical Internet Research, 16(4):e112.

24. G Tsafnat, P Glasziou, M-K Choong, AG Dunn, F Galgani, E Coiera (2014) Systematic review automation technologies, Systematic Reviews, 3:74. [doi: 10.1186/2046-4053-3-74 ; altmetric]

23. K Robinson, AG Dunn, G Tsafnat, P Glasziou  (2014) Citation networks of related trials are often disconnected: implications for bidirectional citation searches, Journal of Clinical Epidemiology, 67(7):793-799.[doi:10.1016/j.jclinepi.2013.11.015 ; altmetric] [post-print pdf]

22. M-K Choong, F Galgani, AG Dunn, G Tsafnat (2014) Automatic evidence retrieval for systematic reviewsJournal of Medical Internet Research, 16(10):e223. [doi: 10.2196/jmir.3369 ; altmetric]

21. D Debono, JF Travaglia, AG Dunn, D Thoms, R Hinchcliff, J Plumb, J Milne, N Erez-Rein, J Wiley, J Braithwaite (2014) Strengthening the capacity of nursing leaders through multifaceted professional development initiativesCollegian, 23(1):19-28.

20. J Majer, AG Dunn, J-P Orsini (2014) Computer Modelling as an Aid to Forest and Woodland RestorationOpen Journal of Forestry, 4(2) 112-123.

19. AG Dunn, KD Mandl, E Coiera, FT Bourgeois (2013) The effects of industry sponsorship on comparator selection in trial registrations for neuropsychiatric conditions in childrenPLOS ONE, 8(12): e84951.

18. AG Dunn, FT Bourgeois, E Coiera (2013) Industry Influence in Evidence ProductionJournal of Epidemiology & Community Health, 67:537-538. [doi:10.1136/jech-2013-202344 ; altmetric][pre-print pdf]

17. G Tsafnat, AG Dunn, P Glasziou, E Coiera (2013) The Automation of Systematic ReviewsBMJ, 346:f139.
[doi:10.1136/bmj.f139 ; altmetric]

16. B Gallego, AG Dunn, E Coiera (2013) The role of electronic medical records in comparative effectiveness researchJournal of Comparative Effectiveness Research, 2 (6):529-532.

15. AYS Lau, AG Dunn, N Mortimer, A Gallagher, J Proudfoot, A Andrews, S-T Liaw, J Crimmins, A Arguel, E Coiera (2013) Social and Self-Reflective Use of a Web-based Personally Controlled Health Management SystemJournal of Medical Internet Research, 15(9):e211. [doi:10.2196/jmir.2682 ; altmetric]

14. B Gallego, WB Runciman, O Perez-Concha, S-T Liaw, RO Day, AG Dunn, E Coiera (2013) The management of severe hypertension in Australia, BMC Health Services Research 13(414).

13. AG Dunn, RO Day, KD Mandl, E Coiera (2012) Learning from Hackers: Open-Source Clinical TrialsScience Translational Medicine, 4:132cm5.
[doi:10.1126/scitranslmed.3003682 ; altmetric][post-print pdf]

12. AG Dunn, B Gallego, E Coiera (2012) Industry influenced evidence production in collaborative research communities: A network analysisJournal of Clinical Epidemiology, 65(5): 535-543. [doi:10.1016/j.jclinepi.2011.10.010 ; altmetric][pre-print pdf]

11. AG Dunn, FT Bourgeois, S Murthy, KD Mandl, RO Day, E Coiera (2012) The role and impact of research agendas on the comparative effectiveness research amongst anti-hyperlipidemicsClinical Pharmacology & Therapeutics, 91(4): 685-691. [doi:10.1038/clpt.2011.279 ; altmetric][pre-print pdf]

10. AG Dunn, J Braithwaite, B Gallego, RO Day, W Runciman, E Coiera (2012) Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion modelBMC Health Services Research, 12:248.

9. B Gallego, M Westbrook, AG Dunn, J Braithwaite (2012) Investigating patient safety culture across a health system: multi-level modelling of differences associated with service types and staff demographicsInternational Journal for Quality in Health Care, 24(4): 311-320.

8. AD Spigelman, DS Debono, K Oates, AG Dunn, J Braithwaite (2012) Patient safety teaching in Australian medical schools: a national surveyClinical Risk, 18(2): 46-51.

7. F Magrabi, S Li, AG Dunn, E Coiera (2011) Challenges in measuring the impact of interruption on patient safety and workflow outcomesMethods of Information in Medicine, 50(5): 447-453.

6. AG Dunn, M-S Ong, JI Westbrook, F Magrabi, E Coiera, W Wobcke (2011) A simulation framework for mapping risks in clinical processes: the case of in-patient transfersJournal of the American Medical Informatics Association,18:259-266.
[post-print pdf]

5. AG Dunn, JI Westbrook (2011) Interpreting social network metrics in healthcare organisations: a review and guide to validating small networksSocial Science & Medicine, 72:1064-1068.
[post-print pdf]

4. AG Dunn, B Gallego (2010) Diffusion of competing innovations: the effects of network structure on the provision of healthcareJournal of Artificial Societies and Social Simulation October 2010, 13(4) 8.

3. AG Dunn (2010) Grid-induced biases in connectivity metric implementations that use regular gridsEcography 33:627-631.

2. AG Dunn, J Majer (2009) Measuring connectivity patterns in a macro-corridor on the south coast of Western Australia. Ecological Management & Restoration 10:51-57.

1. AG Dunn, J Majer (2007) In response to the continuum method for fauna research: a hierarchical, patch-based model of spatial landscape patternsOikos 116:1413-1418.

Presented at Conferences (45):

45. U Naseem, J Kim, M Khushi, AG Dunn (2024) A linguistic grounding-infused contrastive learning approach for health mention classification on social media, The 17th ACM International Conference on Web Search and Data Mining (WSDM). [doi: 10.1145/3616855.3635763]

44. T Purnat, AG Dunn, A Ishizumi, T Nguyen, S Machiri, S Briand (2023) A research platform for measuring information exposure, trust, and behaviour – burden of infodemicsEuropean Journal of Public Health, Volume 33, Issue Supplement_2, October 2023, ckad160.1678, 

43. C El-Hayek, T Nguyen, M Hellard, M Curtis, A Wilkinson, R Sacks-Davis, N Scott, J Asselin, P Dietze, A Madden, HL Aung, R Guy, M Stoove, D Boyle, J Hocking, AG Dunn (2023) Machine learning to identify people who inject drugs for hepatitis C surveillance, Australian Epidemiology Association Scientific Meeting, Melbourne, Australia [Student Conference Award Winner; submission, abstract]

42. U Naseem, J Kim, M Khushi, AG Dunn (2023) Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media, WWW ’23 Companion: Companion Proceedings of the ACM Web Conference 2023: 995-1003, [doi: 10.1145/3543873.3587587][submission, full paper]

41. B Haon Kruz, AG Dunn, J Kim, C Wang, D Wang (2023) Federated learning aggregation via a reinforcement learning policy, Machine Learning & Global Health, a workshop at the International Conference on Learning Representations, Kigali, Rwanda [submission, full paper]

40. U Naseem, J Kim, M Khushi, AG Dunn (2023) A multimodal framework for the identification of vaccine critical memes on Twitter, ACM International Conference on Web Search and Data Mining (WSDM), 27 Feb-3 Mar 2023, Singapore. [submission, full paper]

39. HM Lim, CJ Ng, AG Dunn, A Abdullah (2023) Experiences and influences of online health information-seeking about statin use in patients with high cardiovascular risk: a qualitative study, Journal of Hypertension, 41(Suppl_1):p e476, published for ISH2022 Kyoto 2022. [submission, abstract]

38. A Ishizumi, AG Dunn, T Purnat, B Yau, C Bertrand-Ferrandis, B White, S Briand, T Nguyen (2022) Measuring the burden of infodemics on health outcomes through harmonized global metrics, European Journal of Public Health, 32(Supp_3):ckac131. 326, published for the European Public Health Conference 2022. [submission, abstract]

37. A Khoo, M Rybinski, S Karimi, AG Dunn (2022) The role of context in vaccine stance prediction for Twitter users, The 20th Annual Workshop of the Australasian Language Technology Association (ALTA), 14-16 Dec 2022, Adelaide. [submission, full paper, best student paper award]

36. J Ayre, D Muscat, AG Dunn, E Harrison, J Dalmazzo, D Mouwad, P Aslani, H Shepard, O Mac, K McCaffery (2022) Multiple automated health literacy assessments: Development of the Health Literacy Editor, Patient Education and Counseling, 109_Suppl:137, published for the International Conference on Communication in Healthcare, 5-9 September 2022, Glasgow. [submission, abstract]

35. U Naseem, BC Lee, M Khushi, J Kim, AG Dunn (2022) Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model, The First Workshop on Efficient Benchmarking in NLP, co-located with ACL2022, accepted 27-Mar-2022 [arXiv][submission, full paper]

34. U Naseem, J Kim, M Khushi, AG Dunn (2022) Identification of disease or symptom terms in Reddit to improve health mention classification, WebConf, accepted 14-Jan-2022 [submission, full paper]

33. U Naseem, AG Dunn, J Kim, M Khushi (2022) Early identification of depression severity levels on Reddit using ordinal classification, WebConf, accepted 14-Jan-2022 [submission, full paper]

32. S Liu, Y Sun, B Li, W Wang, FT Bourgeois, AG Dunn (2021), Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations, Empirical Methods in Natural Language Processing. [submission, full paper; arxiv]

31. U Naseem, M Khushi, J Kim, AG Dunn (2021) Classifying vaccine sentiment tweets by modeling domain-specific representation and commonsense knowledge into context-aware attentive GRU, International Joint Conference on Neural Networks (IJCNN). [submission, full paper; arxiv]

30. A Dyda, Z Shah, D Surian, P Martin, E Coiera, A Dey, J Leask, AG Dunn (2020) HPV vaccine coverage in Australia and associations with vaccine information exposure on Twitter. National Immunisation Conference, June 24, 2020, Perth, Australia. [submission; abstract]

29. MS Steffens, AG Dunn, K Wiley, J Leask (2020) Using social media for vaccination promotion: practices and challenges. National Immunisation Conference, June 24, 2020, Perth, Australia. [submission, abstract]

28. MS Steffens, AG Dunn, M Marques, M Danchin , HO Witteman, J Leask (2020) Addressing vaccination misinformation with debunking messages: a randomised controlled trial. Australasian Society of Behavioural Health and Medicine, February 5-7, 2020, Sydney, Australia. [submission, abstract]

27. S Amin, AG Dunn, L Laranjo (2020) Consumers’ first experience with an electronic cigarette in Australia: A quantitative and qualitative evaluation. Australasian Society of Behavioural Health and Medicine, February 5-7, 2020, Sydney, Australia. [submission, abstract]

26. AG Dunn, P Martin, FT Bourgeois (2019) Using trial2rev to support timely and efficient systematic review updates. AMIA Annual Symposium, November 19, 2019, Washington DC, United States. [submission, systems demonstration]

25. S Amin, AG Dunn, L Laranjo (2019) Influence of e-cigarette advertisement on the uptake and use of electronic cigarettes among adolescents: A systematic review. American Public Health Association (APHA) Annual Symposium, November 2-6, 2019, Philadelphia, United States. [submission, abstract]

24. L Laranjo, AG Dunn, HL Tong, AB Kocaballi, J Chen, R Bashir, D Surian, B Gallego, F Magrabi, AYS Lau, E Coiera (2018) Technological Characteristics of Conversational Agents Used for Health-Related Purposes – A Systematic Review. AMIA Annual Symposium, November 5, 2018, Chicago, United States. [submission, podium abstract]

23. R Bashir, D SurianAG Dunn (2018) An empirically-defined decision tree to predict systematic reviews at risk of change in conclusion. Cochrane Colloquium, September 16-18, Edinburgh, Scotland. [submission, abstract]

22. Q Grundy, AG Dunn, FT Bourgeois, L Bero (2017) The prevalence of conflict of interest disclosures in biomedical research. Peer Review Congress, September 10-12, Chicago, United States. [submission, abstract]

21. R Bashir, AG Dunn (2017) Do systematic review updates target questions where evidence accumulates faster? Evidence Live, June 21-22, 2017, London, United Kingdom. [submission, abstract]

20. GK Shapiro, D Surian, AG Dunn, R Perry, M Kelaher (2017) Opposition to HPV vaccination on Twitter. Presented at the Canadian Association for Health Services and Policy Research Conference, May 24-26, 2017, Toronto, Canada. [submission, abstract]

19. AG Dunn, FT Bourgeois (2016) A matching algorithm between ClinicalTrials.gov and PubMed to support the monitoring of gaps in published study results. AMIA Annual Symosium, November 2016 (Chicago, United States). [submission, podium abstract]

18. X Zhou, E Coiera, G Tsafnat, D Arachi, M-S Ong, AG Dunn (2015) Using social connection information to improve opinion mining: Identifying negative sentiment about HPV vaccines on Twitter. The 15th World Congress on Medical and Health Informatics MedInfo, August 2015 (Sao Paulo, Brazil). [submission, full paper]

17. AG Dunn, D Arachi, FT Bourgeois (2015) Identifying clinical study types from PubMed metadata: the active (machine) learning approach. The 15th World Congress on Medical and Health Informatics. MedInfo, August 2015 (Sao Paulo, Brazil). [submission, full paper]

16. G Tsafnat, Paul Glasziou, AG Dunn, E Coiera (2014) The idea behind IDEA. The 2014 Macquarie University Workshop on Text Mining and Health, September 26 2014, Sydney, Australia. [submission, abstract]

15. AG Dunn, G Tsafnat, E Coiera (2014) Automatic classification of published clinical articles using metadata instead of content, The 2014 Macquarie University Workshop on Text Mining and Health, September 26 2014, Sydney, Australia. [submission, abstract]

14. AG Dunn, G Tsafnat, E Coiera (2013) Preventing harmful translations: an informatics approach to clinical evidence surveillance. NHMRC Research Translation Faculty Symposium. October 2013, Sydney, Australia. [submission, abstract]

13. MB Gillies, F Galgani, G Tsafnat, AG Dunn, N Huang and M Williamson (2013) Feasibility of Using Australian GP Prescribing Data for Pharmacovigilance. 29th International Conference on Pharmacoepidemiology & Therapeutic Risk Management. August 2013, Montreal, Canada. [submission, abstract]

12. F Galgani, AG Dunn, M Williamson, M Giles, G Tsafnat (2013) Understanding patient experiences from mining primary care data. Big Data in health and biomedicine. April 2013, Melbourne, Australia. [submission, abstract]

11. AYS Lau, AG Dunn, N Mortimer, J Proudfoot, A Andrews, S-T Liaw, J Crimmins, A Arguel, E Coiera (2013)  Consumers’ Online Social Network Topologies and Health Behaviours, The 14th World Congress on Medical and Health Informatics. Medinfo 2013 (Copenhagen). [submission, full paper]

10. AG Dunn, S Murthy, F Bourgeois, E Coiera (2011) A first look at a network of comparative effectiveness research in a large clinical trials registry, NetSci2011, June 6-10, Budapest. [submission, abstract]

9. F Magrabi, SYW Li, AG Dunn, E Coiera (2010) Why is it so difficult to measure the effects of interruptions in healthcare? 13th International Congress on Medical Informatics. Medinfo 2010. [submission, full paper]

8. AG Dunn, B Gallego (2010) Prescription volumes show that primary care is slow to respond to negative evidence, ACSQHC, 6-8 September, Perth. [submission, abstract]

7. AG Dunn, B Gallego (2009) Explaining low levels of recommended care in healthcare provision via diffusion through advice-giving networks. Emergence in Geographical Space International Conference, 23-25 November 2009, Paris. [submission, abstract]

6. AG Dunn (2009). Spatial and social clustering in cultural dynamics simulation: towards spatially-explicit, calibrated Axelrod models. Emergence in Geographical Space International Conference, 23-25 November 2009, Paris. [submission, abstract]

5. AG Dunn, D Stehlik (2007) Governance by social network: a multiscale analysis of communication efficiency. The 8th Asia-Pacific Complex Systems Conference, Surfers Paradise. [Awarded best presentation in social sciences track, submission, abstract]

4. AG Dunn, J Majer (2007) Predictive, spatially explicit modelling of blackberry dispersal. 9th International Conference on the Ecology and Management of Alien Plant Invasions. Perth. [submission, abstract]

3. AG Dunn, J Majer (2007) Simulating weed propagation via hierarchical, patch-based cellular automata. In Y. Shi et al. (Eds.) ICCS, Part I, LNCS 4487, 762-769. Beijing. [submission, full paper]

2. AG Dunn, G Milne (2004) Modelling wildfire dynamics via interacting automata. In Sloot et al. (Eds.) ACRI04 LNCS 3305, 395-404, Amsterdam. [submission, full paper]

1. AG Dunn (2003) Environment-independent performance analyses of cryptographic algorithms. The 26th Australasian Computer Science Conference, Adelaide. [submission, full paper]

Published as Book Chapters (3):

3. H Zhang, C Wheldon, C Tao, AG Dunn, Y Guo, J Huo, J Bian (2019) How to improve public health via mining social media platforms: A case study of human papillomaviruses (HPV). In: Bian J., Guo Y., He Z., Hu X. (eds) Social Web and Health Research. Springer, Cham; pages 207-231. doi: 10.1007/978-3-030-14714-3_11

[]. AG Dunn, D Arachi, FT Bourgeois (2015) Identifying clinical study types from PubMed metadata: The active (machine) learning approachStudies in Health Technology and Informatics, 216:867-871. [From MedInfo 2015 conference doi: 10.3233/978-1-61499-564-7-867]

[]. X Zhou, E Coiera, G Tsafnat, D Arachi, M-S Ong, AG Dunn (2015) Using social connection information to improve opinion mining: Identifying negative sentiment about HPV vaccines on TwitterStudies in Health Technology and Informatics, 216:761-765 [From MedInfo 2015 conference doi: 10.3233/978-1-61499-564-7-761]

[]. AYS Lau, AG Dunn, N Mortimer, J Proudfoot, A Andrews, S-T Liaw, J Crimmins, A Arguel, E Coiera (2013) Consumers’ Online Social Network Topologies and Health BehavioursStudies in Health Technology and Informatics, 192:77-81. [From MedInfo 2013 conference]

2. WR Wobcke, AG Dunn (2012) Agent-based modelling for risk assessment of routine clinical processes. In N Desai, A Liu, M Winkoff (Eds) PRIMA 2010: Principles and Practice of Multi-Agent Systems. Springer-Verlag, Berlin.

[]. F Magrabi F, SY Li, AG Dunn, E Coiera (2010) Why is it so difficult to measure the effects of interruptions in healthcare?Studies in Health Technology and Informatics, 160:784-788. [From MedInfo 2010 conference doi: 10.3233/978-1-60750-588-4-784]

1. AG Dunn (2010) Hierarchical cellular automata methods, in Understanding Complex Systems, Simulating Complex Systems by Cellular Automata. Eds. A.G. Hoekstra, P.M.A. Sloot, J. Kroc, Springer-Verlag Berlin, Pages 59-80.

Book Reviews (1): 

1. Book Review of: Batagelj V, Doreian P, Ferligoj A, Kejzar N, Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution 2014, Wiley Series in Computational and Quantitative Social Science.

PhD Thesis (1):

1. AG Dunn (2007) A model of wildfire propagation using the interacting spatial automata formalism. The University of Western Australia [pdf on a new page]