Nattwut Ekapirat
Data analyst
NDM centre for tropical medicine and global health
Nattwut Ekapirat joined GRAM project as data analyst. Before joining NDM, he worked with Mahidol-Oxford tropical medicine research unit (MORU) in Bangkok, Thailand as a data scientist and GIS specialist involved with climate data, spatial analysis and coordinating conference regarding malaria and dengue situation in Thailand. He had a leading role in data management and statistical analysis at WorldWide Anti-Malarial Resistance Network (WWARN) in Asia regional centre prior joined MORU.
He has extensive experience and skill in high volume database, mathematical modelling and spatial statistics.
Recent publications
Mapping genetic markers of artemisinin resistance in Plasmodium falciparum malaria in Asia: a systematic review and spatiotemporal analysis.
Journal article
Kagoro FM. et al, (2022), Lancet Microbe, 3, e184 - e192
Bayesian spatio-temporal distributed lag modeling for delayed climatic effects on sparse malaria incidence data.
Journal article
Rotejanaprasert C. et al, (2021), BMC Med Res Methodol, 21
Low parasite connectivity among three malaria hotspots in Thailand.
Journal article
Chang H-H. et al, (2021), Sci Rep, 11
Incorporating human mobility data improves forecasts of Dengue fever in Thailand.
Journal article
Kiang MV. et al, (2021), Sci Rep, 11
Spatiotemporal distributed lag modelling of multiple Plasmodium species in a malaria elimination setting.
Journal article
Rotejanaprasert C. et al, (2021), Stat Methods Med Res, 30, 22 - 34