Dr. Myint Tun

Myint Tun is a global surgery researcher whose work focuses on improving surgical outcomes across diverse health systems. Widely involved in large international collaborative studies, his research addresses disparities in perioperative care, particularly in low- and middle-income settings. His scholarship contributes to evidence-based strategies that inform clinical guidelines and health policy in global surgical practice.

A central theme of his work is surgical-site infection, including risk prediction, prevention strategies, and the development of globally applicable tools such as the GloSSI predictive model. He has also examined telemedicine for postoperative wound assessment and perioperative interventions such as oxygen therapy, integrating clinical epidemiology with health economics to evaluate cost-effectiveness and scalability across resource settings.

Beyond infection prevention, his publications explore broader system-level challenges, including unmet surgical need, COVID-19–related surgical disruptions, emergency laparotomy safety, colorectal practice variation, and maternal outcomes after caesarean delivery. Through multinational cohort studies and advanced statistical modelling, his work highlights inequities in surgical access and quality, strengthening the evidence base for global surgical system improvement.