Recent publications by Researchers affiliated with the Centre for Tropical Medicine and Global Health
Core outcome measurement set for clinical trials in dengue: an international Delphi consensus study (DEN-CORE)
Yacoub S. et al, (2025), The Lancet Infectious Diseases
An artificial intelligence-based approach to identify volume status in patients with severe dengue using wearable PPG data.
Lyle NN. et al, (2025), PLOS digital health, 4
Early NK-cell and T-cell dysfunction marks progression to severe dengue in patients with obesity and healthy weight
Gregorova M. et al, (2025), Nature Communications, 16
Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring.
Ming DK. et al, (2024), NPJ digital medicine, 7
Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study.
Karolcik S. et al, (2024), EBioMedicine, 104
Kinetics of cardiovascular and inflammatory biomarkers in paediatric dengue shock syndrome
Chanh HQ. et al, (2024), Oxford Open Immunology, 5
Applying artificial intelligence and digital health technologies, Viet Nam
Chanh HQ. et al, (2023), Bulletin of the World Health Organization, 101, 487 - 492
A modified Sequential Organ Failure Assessment score for dengue: development, evaluation and proposal for use in clinical trials
McBride A. et al, (2022), BMC Infectious Diseases, 22
Climate change and health in Southeast Asia – defining research priorities and the role of the Wellcome Trust Africa Asia Programmes
Choisy M. et al, (2022), Wellcome Open Research, 6, 278 - 278
The compensatory reserve index predicts recurrent shock in patients with severe dengue.
Trieu HT. et al, (2022), BMC medicine, 20
Novel Clinical Monitoring Approaches for Reemergence of Diphtheria Myocarditis, Vietnam.
Chanh HQ. et al, (2022), Emerging infectious diseases, 28, 282 - 290
Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam.
Ming DK. et al, (2022), PLOS digital health, 1
The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality.
Ming DK. et al, (2022), Frontiers in digital health, 4
Microvascular dysfunction in septic and dengue shock: Pathophysiology and implications for clinical management
McBride A. et al, (2020), Global Cardiology Science and Practice, 2020
Metformin as adjunctive therapy for dengue in overweight and obese patients: a protocol for an open-label clinical trial (MeDO)
Nguyen NM. et al, (2020), Wellcome Open Research, 5, 160 - 160
Continuous physiological monitoring using wearable technology to inform individual management of infectious diseases, public health and outbreak responses.
Ming DK. et al, (2020), International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 96, 648 - 654