Projects per year
Personal profile
Biography
Adam Dunn is an Associate Professor in the Centre for Health Informatics at Macquarie University, where he leads the Digital Epidemiology team. His research is in clinical research informatics, where he aims to improve the way results from clinical trials are used in systematic reviews; and public health informatics, where he uses large-scale data from news and social media to track how evidence and misinformation spread through society, with the aim of improving health behaviours.
External positions
Affiliate Faculty, Computational Health Informatics Program, Boston Children's Hospital
2019 → …Visiting Associate Professor (pending), Department of Pediatrics, Harvard Medical School
2019 → …Visiting Associate Professor, Department of Primary Care Medicine, University of Malaya
2018 → 2019Associate Editor, BMC Medical Informatics and Decision Making
Editorial Board Member, JAMIA Open
Associate Editor, Research Integrity & Peer Review
Associate Editor, Systematic Reviews
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Papillomavirus Vaccines
Medicine & Life Sciences
Clinical Trials
Medicine & Life Sciences
Social Media
Medicine & Life Sciences
Patient Safety
Medicine & Life Sciences
Registries
Medicine & Life Sciences
Observational Studies
Medicine & Life Sciences
Workflow
Medicine & Life Sciences
Industry
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2017 2022
- 4 Active
Coupling Results Data from ClinicalTrials.gov and Bibliographic Databases to Accelerate Evidence Synthesis
Bourgeois, F. T., Dunn, A. & Mandl, K. D.
1/03/19 → 29/02/20
Project: Research
iConnect: Capturing social interactions using wearable technology in residential aged care
Ng, J., Surian, D., Westbrook, J., Dunn, A., Mascolo, C. & Montanari, A.
1/01/19 → 31/12/20
Project: Research
Centre of Research Excellence in Digital Health (CREDiH)
Coiera, E., Glasziou, P., Hansen, D., Magrabi, F., Sintchenko, V., Verspoor, K., Gallego Luxan, B., Lau, A., Dunn, A., Longhurst, C., Tsafnat, G., Cutler, H., Makeham, M., Shaw, T., Shah, N., Runciman, W. & Liaw, S. T.
1/01/18 → 31/12/22
Project: Research
Monitoring the gap between evidence and vaccination behaviour by sampling the location-specific consumption of health information from news and social media
Dunn, A., Leask, J., Mandl, K., Coiera, E., Dey, A., Johnson, M. & MQRES 3 (International), M. 3.
16/01/17 → …
Project: Research
Research Outputs 2004 2019
HPV vaccine coverage in Australia and associations with HPV vaccine information exposure among Australian Twitter users
Dyda, A., Shah, Z., Surian, D., Martin, P., Coiera, E., Dey, A., Leask, J. & Dunn, A. G., Aug 2019, In : Human Vaccines and Immunotherapeutics. 15, 7-8, p. 1488-1495 8 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access
File
Papillomavirus Vaccines
Vaccines
Blogging
Education
Cluster Analysis
Modeling spatiotemporal factors associated with sentiment on twitter: synthesis and suggestions for improving the identification of localized deviations
Shah, Z., Martin, P., Coiera, E., Mandl, K. D. & Dunn, A. G., 8 May 2019, In : Journal of Medical Internet Research. 21, 5, p. 1-16 16 p., e12881.Research output: Contribution to journal › Article › Research › peer-review
Open Access
File
Weather
Public Health
Social Media
Language
Population
Software engineering principles address current problems in the systematic review ecosystem
Bashir, R. & Dunn, A. G., 1 May 2019, In : Journal of Clinical Epidemiology. 109, p. 136-141 6 p.Research output: Contribution to journal › Article › Research › peer-review
Ecosystem
Software
Technology
The risk of conclusion change in systematic review updates can be estimated by learning from a database of published examples
Bashir, R., Surian, D. & Dunn, A. G., 1 Jun 2019, In : Journal of Clinical Epidemiology. 110, p. 42-49 8 p.Research output: Contribution to journal › Article › Research › peer-review
Area Under Curve
Learning
Databases
ROC Curve
Machine Learning
The timing and frequency of trial inclusion in systematic reviews of type 2 diabetes drugs was associated with trial characteristics
Dunn, A. G., Orenstein, L., Coiera, E., Mandl, K. D. & Bourgeois, F. T., 1 May 2019, In : Journal of Clinical Epidemiology. 109, p. 62-69 8 p.Research output: Contribution to journal › Article › Research › peer-review
Type 2 Diabetes Mellitus
Confidence Intervals
Journal Impact Factor
Pharmaceutical Preparations
Industry