Research output per year
Research output per year
Personal profile
Roles and responsibilities
Co-Lead, Diabetes and Endocrinology Network, WA Health Department
Funding overview
NHMRC project grant funding since 1993, NHMRC Practitioner Fellowship, other competitive and industry funding
Previous positions
Head of Fremantle Unit, School of Medicine and Pharmacology 2011-2013
Teaching overview
Clinical medical students, postgraduate supervision
Research
Diabetes, malaria
Research expertise keywords
- Biostatistics and epidemiology
- Diabetes
- Endocrinology
- General medicine
- Mathematical modelling
- Tropical and infectious diseases
Fingerprint
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Differences in retinopathy prevalence and progression between Anglo-Celt and Aboriginal Australians: the Fremantle Diabetes Study Phase II
Drinkwater, J. J., Davis, W. A., Turner, A. W., McAullay, D. & Davis, T. M. E., Apr 2022, In: Internal Medicine Journal. 52, 4, p. 590-598 9 p.Research output: Contribution to journal › Article › peer-review
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Pharmacokinetic properties of the antimalarial combination therapy artemether–lumefantrine in normal-weight, overweight and obese healthy male adults
Sugiarto, S. R., Page-Sharp, M., Drinkwater, J. J., Davis, W. A., Salman, S. & Davis, T. M. E., Jan 2022, In: International Journal of Antimicrobial Agents. 59, 1, 106482.Research output: Contribution to journal › Article › peer-review
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Sodium-glucose cotransport-2 inhibitor induced ketoacidosis following coronary artery bypass surgery: implications for management
McCann, M., O'Brien, A., Larbalestier, R. & Davis, T., May 2022, In: Internal Medicine Journal. 52, 5, p. 876-879 4 p.Research output: Contribution to journal › Article › peer-review
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Temporal Trends in Renal Replacement Therapy in Community-Based People with or without Type 2 Diabetes: The Fremantle Diabetes Study
Davis, W. A., Chakera, A., Gregg, E., McAullay, D. & Davis, T. M. E., 1 Feb 2022, In: Journal of Clinical Medicine. 11, 3, 695.Research output: Contribution to journal › Article › peer-review
Open Access -
A comparison of the clinical, laboratory and epidemiological features of two divergent subpopulations of Plasmodium knowlesi
Hu, T. H., Rosli, N., Mohamad, D. S. A., Kadir, K. A., Ching, Z. H., Chai, Y. H., Ideris, N. N., Ting, L. S. C., Dihom, A. A., Kong, S. L., Wong, E. K. Y., Sia, J. E. H., Ti, T., Chai, I. P. F., Tang, W. Y., Hii, K. C., Divis, P. C. S., Davis, T. M. E., Daneshvar, C. & Singh, B., Dec 2021, In: Scientific Reports. 11, 1, 20117.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)
Datasets
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Proportions with depression and/or generalised anxiety disorder (GAD) by latent class analysis (LCA)-derived and total Diabetes Anxiety Depression Scale (DADS) score-defined anxious depression classes (N = 1,337).
Davis, W. (Creator), Bruce, D. (Creator), Dragovic, M. (Creator), Davis, T. (Creator) & Starkstein, S. (Creator), Public Library of Science (PLoS), 15 Mar 2018
DOI: 10.1371/journal.pone.0194417.s002
Dataset
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Quality of identification of latent class analysis (LCA)-derived anxious depression classes by total Diabetes Anxiety Depression Scale (DADS) score (n (%)).
Davis, W. (Creator), Bruce, D. (Creator), Dragovic, M. (Creator), Davis, T. (Creator) & Starkstein, S. (Creator), Public Library of Science (PLoS), 15 Mar 2018
DOI: 10.1371/journal.pone.0194417.s001
Dataset
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Minimal anonymized baseline data set necessary to replicate the main study findings.
Davis, W. (Creator), Bruce, D. (Creator), Dragovic, M. (Creator), Davis, T. (Creator) & Starkstein, S. (Creator), Public Library of Science (PLoS), 15 Mar 2018
DOI: 10.1371/journal.pone.0194417.s003
Dataset
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The longitudinal relationship between macrovascular disease and retinopathy in type 2 diabetes
Davis, T., Drinkwater, J., Davis, W. & Chen, F.
2/08/21 → 2/08/23
Project: Research
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Medical and Health Research Infrastructure Fund 2021
Government of Western Australia, Department of Health
1/07/21 → 30/06/22
Project: Research
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MRFF - Community-based studies of diabetes and infectious diseases
National Health & Medical Research Council NHMRC
1/01/19 → 31/12/23
Project: Research
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A novel approach to stroke risk prediction in type 2 diabetes incorporating machine learning
Davis, T., Bennamoun, M. & Davis, W.
1/06/22 → 1/06/23
Project: Research