Summary
Damien Ming is an infectious diseases and general internal medicine trainee in the London Deanery. He completed his PhD at the Centre for Antimicrobial Optimisation in 2023 on the use of digital health and novel data methodologies applied to acute febrile illnesses in low- and middle-income settings.
This work is supervised by Alison Holmes, Pantelis Georgiou and Sophie Yacoub and done in collaboration with the Hospital For Tropical Diseases Ho Chi Minh City, Nuffield Department of Medicine Oxford and Oxford University Clinical Reserach Unit (OUCRU) Vietnam.
His interests include the implementation of digital health interventions and the use of clinical datasets within decision-support systems, clinical wearables and novel minimally-invasive biosensors for the management of febrile presentations including dengue and bacterial bloodstream infections.
He completed his undergraduate and clinical training at the University of Oxford in 2009, diploma in tropical medicine & hygiene at the Liverpool School of Tropical Medicine and has worked in clinical research projects based in Malawi, Laos and Vietnam .
Selected Publications
Journal Articles
Freeman DME, Ming DK, Wilson R, et al., 2023, Continuous measurement of lactate concentration in human subjects through direct electron transfer from enzymes to microneedle electrodes, Acs Sensors, Vol:8, ISSN:2379-3694, Pages:1639-1647
Myall A, Price J, Peach R, et al., 2022, Predicting hospital-onset COVID-19 infections using dynamic networks of patient contact: an international retrospective cohort study, The Lancet Digital Health, Vol:4, ISSN:2589-7500, Pages:e573-e583
Trieu HT, Khanh LP, Ming DKY, et al., 2022, The compensatory reserve index predicts recurrent shock in patients with severe dengue, BMC Medicine, Vol:20, ISSN:1741-7015
Ming DK, Jangam S, Gowers SAN, et al., 2022, Real-time continuous measurement of lactate through a minimally invasive microneedle patch: a phase I clinical study, Bmj Innovations, Vol:8, ISSN:2055-8074, Pages:87-94
Ming DK, Tuan NM, Hernandez B, et al., 2022, The diagnosis of dengue in patients presenting with acute febrile illness using supervised machine learning and impact of seasonality, Frontiers in Digital Health, Vol:4, ISSN:2673-253X
Ming DK, Hernandez B, Sangkaew S, et al., 2022, Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam, Plos Digital Health, Vol:1, Pages:e0000005-e0000005
Ming DKY, Myall A, Hernandez B, et al., 2021, Informing antimicrobial management in the context of COVID-19: understanding the longitudinal dynamics of C-reactive protein and procalcitonin, BMC Infectious Diseases, Vol:21, ISSN:1471-2334
Sangkaew S, Ming D, Boonyasiri A, et al., 2021, Risk predictors of progression to severe disease during the febrile phase of dengue: a systematic review and meta-analysis, Lancet Infectious Diseases, Vol:21, ISSN:1473-3099, Pages:1014-1026
Nguyen LV, Phung KL, Ming DKY, et al., 2021, Combination of inflammatory and vascular markers in the febrile phase of dengue is associated with more severe outcomes, Elife, Vol:10, ISSN:2050-084X
Rawson TM, Hernandez B, Moore L, et al., 2021, A real-world evaluation of a case-based reasoning algorithm to support antimicrobial prescribing decisions in acute care, Clinical Infectious Diseases, Vol:72, ISSN:1058-4838, Pages:2103-2111
Rawson TM, Hernandez B, Wilson R, et al., 2021, Supervised machine learning to support the diagnosis of bacterial infection in the context of COVID-19, Jac-antimicrobial Resistance, Vol:3, ISSN:2632-1823, Pages:1-4
Sangkaew S, 2020, Enhancing risk prediction of progression to severe disease during the febrile phase of dengue: A systematic review and meta-analysis, Lancet Infectious Diseases, Vol:101, ISSN:1473-3099, Pages:237-238
Ming DK, Phommadeechack V, Panyanivong P, et al., 2020, The isolation of orientia tsutsugamushi and rickettsia typhi from human blood through mammalian cell culture: a descriptive series of 3,227 samples and outcomes in the Lao People’s Democratic Republic, Journal of Clinical Microbiology, Vol:58, ISSN:0095-1137
Ming DK, Sorawat S, Chanh HQ, et al., 2020, Continuous physiological monitoring using wearable technology to inform individual management of infectious diseases, public health and outbreak responses, International Journal of Infectious Diseases, Vol:96, ISSN:1201-9712, Pages:648-654
Rawson TM, Ming D, Ahmad R, et al., 2020, Antimicrobial use, drug-resistant infections and COVID-19., Nature Reviews Microbiology, ISSN:1740-1526
Baker EC, Ming DK, Choudhury Y, et al., 2020, High prevalence of strongyloides among South Asian migrants in primary care―associations with eosinophilia and gastrointestinal symptoms, Pathogens, Vol:9, ISSN:2076-0817, Pages:103-103
Elliott I, Batty EM, Ming D, et al., 2020, Oxford nanopore MinION sequencing enables rapid whole genome assembly of rickettsia typhi in a resource-limited setting, American Journal of Tropical Medicine and Hygiene, Vol:102, ISSN:0002-9637, Pages:408-414
Ming DK, Armstrong M, Lowe P, et al., 2019, Clinical and Diagnostic Features of 413 Patients Treated for Imported Strongyloidiasis at the Hospital for Tropical Diseases, London, American Journal of Tropical Medicine and Hygiene, Vol:101, ISSN:0002-9637, Pages:428-431
Ming DK, Otter JA, Ghani R, et al., 2019, Clinical risk stratification and antibiotic management of NDM and OXA-48 carbapenemase-producing Enterobacteriaceae bloodstream infections in the UK, Journal of Hospital Infection, Vol:102, ISSN:0195-6701, Pages:95-97
Ming D, Rawson T, Sangkaew S, et al., 2019, Connectivity of rapid-testing diagnostics and surveillance of infectious diseases, Bulletin of the World Health Organization, Vol:97, ISSN:0042-9686, Pages:242-244
Rawson T, Ming D, Gowers S, et al., 2019, Public acceptability of computer-controlled antibiotic management: an exploration of automated dosing and opportunities for implementation, Journal of Infection, Vol:78, ISSN:0163-4453, Pages:75-86
Molloy SF, Bradley J, Karunaharan N, et al., 2018, Effect of oral fluconazole 1200 mg/day on QT interval in African adults with HIV-associated cryptococcal meningitis, AIDS, Vol:32, ISSN:0269-9370, Pages:2259-2261
Sowole L, Ming DK, Davies F, 2018, Multidrug-resistant bacteria, British Journal of Hospital Medicine, Vol:79, ISSN:1750-8460, Pages:C66-C69
Ming DKY, Rattanavong S, Bharucha T, et al., 2017, Angiostrongylus cantonensis DNA in cerebrospinal fluid of persons with eosinophilic meningitis, Laos, Emerging Infectious Diseases, Vol:23, ISSN:1080-6040, Pages:2112-2113
Bharucha T, Vickers S, Ming D, et al., 2017, Association between reported aetiology of central nervous system infections and the speciality of study investigators-a bias compartmental syndrome?, Transactions of the Royal Society of Tropical Medicine and Hygiene, Vol:111, ISSN:0035-9203, Pages:579-583
Ming DK, Harrison TS, 2017, Cryptococcal meningitis, British Journal of Hospital Medicine, Vol:78, ISSN:1750-8460, Pages:C125-C127
Bharucha T, Ming D, Breuer J, 2017, A critical appraisal of "Shingrix', a novel herpes zoster subunit vaccine (HZ/Su or GSK1437173A) for varicella zoster virus, Human Vaccines & Immunotherapeutics, Vol:13, ISSN:2164-5515, Pages:1789-1797
Peterson I, Ming D, Kelly C, et al., 2016, Unstructured treatment interruption: an important risk factor for arterial stiffness in adult Malawian patients with antiretroviral treatment, AIDS, Vol:30, ISSN:0269-9370, Pages:2373-2378
Ming DKY, Patel MS, Hopkinson NS, et al., 2014, The 'anatomic shunt test' in clinical practice; contemporary description of test and in-service evaluation, Thorax, Vol:69, ISSN:0040-6376, Pages:773-775
Keir GJ, Maher TM, Ming D, et al., 2014, Rituximab in severe, treatment-refractory interstitial lung disease, Respirology, Vol:19, ISSN:1323-7799, Pages:353-359
Ming D, Patel M, Hopkinson N, et al., 2013, Evaluation of the 'anatomic shunt test' in clinical practice, European Respiratory Journal, Vol:42, ISSN:0903-1936
Abdullah R, Ming D, Keir G, et al., 2013, Rituximab in severe, treatment-refractory interstitial lung disease, European Respiratory Journal, Vol:42, ISSN:0903-1936
Reports
Brophy K, Davies S, Olenik S, et al., 2021, The future of wearable technologies, Briefing Paper