Dr Xin Hui S Chan
Using big data to eliminate malaria
Malaria is the most important parasitic infection to still affect humans, and the safe use of antimalarial drugs is paramount. The current explosion of clinical data is creating a jungle of data; making sense of all this data will greatly help us in our fight to eliminate malaria.
Xin Hui Chan
BMBCh MA MSc DPhil MRCP DTM&H DipRCPath
Big data for malaria elimination
Dr Xin Hui Chan is a clinical investigator at the Mahidol-Oxford Tropical Medicine Research Unit (MORU) and specialty registrar in infectious diseases and general internal medicine at the London Hospital for Tropical Diseases. She was a member of the University of Oxford-MRC Doctoral Training Partnership, a recipient of the University of Oxford NDM Doctoral Prize Studentship, and lecturer in medicine at Worcester College, University of Oxford.
Xin Hui is interested in translating scientific research into actionable interventions. Her current research focuses on optimising interventions for malaria elimination and containment of antimalarial resistance through evidence synthesis and clinical investigation. Her work combines drug safety / pharmacovigilance, pharmacoepidemiology, clinical pharmacology, and genomic epidemiology studies. She was the WHO technical resource person and rapporteur of the WHO Evidence Review Group on the Cardiotoxicity of Antimalarial Medicines.
Xin Hui's previous experience has been with the University of Oxford, the London School of Hygiene and Tropical Medicine, the MRC Unit in The Gambia, the US National Institutes of Health, and the UK Faculty of Medical Leadership and Management. She holds postgraduate qualifications in internal medicine, infectious diseases, and tropical medicine.
The cardiovascular effects of amodiaquine and structurally related antimalarials: An individual patient data meta-analysis
Chan XHS. et al, (2021), PLOS Medicine, 18, e1003766 - e1003766
Genetic surveillance in the Greater Mekong subregion and South Asia to support malaria control and elimination
Jacob CG. et al, (2021), eLife, 10