Post-doctoral research fellow Nantasit Luangasanatip is a health economist and mathematical modeler at the Mahidol Oxford Tropical Medicine Research Unit (MORU) in Bangkok, Thailand. Currently a member of the Economics & Implementation Research Group (EIRG) in MORU’s Mathematical and Economic Modelling (MAEMOD) department, Nantasit joined MORU in 2010. His work is to assess cost-effectiveness of new interventions and their clinical implications. He experienced in assessing cost-effectiveness of interventions to prevent healthcare-associated bacterial infections in hospital with resource limited settings, studying economic evaluation of portable devices for post-marketing medicine quality surveillance in a lower-middle country, evaluating cost-effectiveness of melioidosis vaccine in global perspective to explore the country-specific optimal targeted strategy, as well as cost-effectiveness of rotavirus vaccine in Thai and Bhutan context.
The global impact and cost-effectiveness of a melioidosis vaccine
Luangasanatip N. et al, (2019), BMC Medicine, 17
Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia
Oonsivilai M. et al, (2018), Wellcome Open Research, 3, 131 - 131
Cost-effectiveness of interventions to improve hand hygiene in healthcare workers in middle-income hospital settings: a model-based analysis
Luangasanatip N. et al, (2018), Journal of Hospital Infection, 100, 165 - 175
COST-EFFECTIVENESS ANALYSIS OF MEDICINE QUALITY SCREENING DEVICES IN LAOS
Luangasanatip N. et al, (2018), AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 99, 344 - 345
Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia.
Oonsivilai M. et al, (2018), Wellcome Open Research, 3