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
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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
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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
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Low parasite connectivity among three malaria hotspots in Thailand.
Journal article
Chang H-H. et al, (2021), Sci Rep, 11
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Incorporating human mobility data improves forecasts of Dengue fever in Thailand.
Journal article
Kiang MV. et al, (2021), Sci Rep, 11
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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