Dr. Michele Nguyen

Postdoctoral Researcher Team: Global Malaria Epidemiology

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As a post-doctoral research scientist in Geospatial Epidemiology, Michele uses Spatio-temporal Modelling and other statistical techniques as she works with other MAP scientists to produce global estimates of malaria burden. In 2017, she completed her PhD in Statistics at the Department of Mathematics in Imperial College London. Her PhD focused on the theoretical properties, as well as simulation and statistical inference methods for fundamental classes of ambit fields. Ambit fields are a group of non-Gaussian Spatio-temporal random fields which were motivated by turbulence modelling. Michele’s current research interests include Spatio-temporal Statistics and Statistical Epidemiology. She contributes to the ongoing development and implementation of spatio-temporal modelling infractructure in MAP.


Selected Biography

URLDOIWeiss DJ., Lucas TCD., Nguyen M., Nandi AK., Bisanzio D., Battle KE., Cameron E., Twohig, KA., Pfeffer, DA., Rozier JA., Gibson HS., Rao PC., Casey D., Bertozzi-Villa A., Collins EL., Dalrymple U., Gray N., Harris JR., Howes RE., Kang SY., Keddie SH., May D., Rumisha S., Thorn MP., Barber R., Fullman N., Huynh CK., Kulikoff X., Kutz MJ., Lopez AD., Mokdad AH., Naghavi N., Nguyen G., Shackelford KA., Vos T., Wang H., Smith DL., Lim SS., Murray CJL., Bhatt S., Hay SI., Gething PW.,

Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000–17: a spatial and temporal modelling study

Lancet. June 2019
URLDOIBattle KE., Lucas TCD., Nguyen M., Howes RE., Nandi A., Twohig, KA., Pfeffer, DA., Cameron E., Rao PC., Casey D., Gibson HS., Rozier JA., Dalrymple U., Keddie SH., Collins EL., Harris JR., Guerra CA., Thorn MP., Bisanzio D., Fullman N., Huynh CK., Kulikoff X., Kutz MJ., Lopez AD., Mokdad AH., Naghavi N., Nguyen G., Shackelford KA., Vos T., Wang H., Lim SS., Murray CJL., Price RN., Baird JK., Smith DL., Bhatt S., Weiss DJ., Hay SI., Gething PW.,

Mapping the global endemicity and clinical burden of Plasmodium vivax, 2000–17: a spatial and temporal modelling study

The Lancet. June 2019
URLNguyen M., Veraart A.E.D., Modelling spatial heteroskedasticity by volatility modulated moving averages. Spatial Statistics. 2017 20 148-190.
URLNguyen M., Veraart A.E.D., Spatio-temporal Ornstein-Uhlenbeck processes: theory, simulation and statistical inferences. Journal of Statistics. 2015 44(1): 46-80.