Imperial College London

Dr Sequoia Iris Leuba

Faculty of MedicineSchool of Public Health

Research Associate in Malaria Epidemiology
 
 
 
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Contact

 

s.leuba21

 
 
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Location

 

Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Summary

My research focuses on malaria in pregnancy. Currently, my work involves using mathematical models to estimate the impact of malaria during pregnancy on maternal anemia. For my doctoral dissertation, I determined predictors and associations with maternal and birth outcomes of Plasmodium falciparum infection in the first trimester among nulliparous women from the Democratic Republic of the Congo, Kenya, and Zambia.

I previously have studied other infectious diseases including tuberculosis, influenza, and HIV. While living in Bangladesh, I studied the co-morbidity of diabetes and tuberculosis. For my master’s thesis, I used a national surveillance dataset of influenza test results to track and predict influenza in real-time. During my PhD, I lived in China and worked on developing questionnaires in Chinese and English for the largest real-world study of pre-exposure prophylaxis on HIV transmission among Chinese men who have sex with men.

Selected Publications

Journal Articles

Bauserman M, Leuba S, Hemingway-Foday J, et al., 2022, The efficacy of low-dose aspirin in pregnancy among women in malaria-endemic countries, Bmc Pregnancy and Childbirth, Vol:22

Leuba S, Westreich D, Bose CL, et al., 2022, Predictors of Plasmodium falciparum Infection in the First Trimester Among Nulliparous Women From Kenya, Zambia, and the Democratic Republic of the Congo, Journal of Infectious Diseases, Vol:225, ISSN:0022-1899, Pages:2002-2010

Leuba S, Yaesoubi R, Antillon M, et al., 2020, Tracking and predicting US influenza activity with a real-time surveillance network, PLOS Computational Biology, Vol:16, ISSN:1553-734X

Zimmer C, Leuba SI, Cohen T, et al., 2019, Accurate quantification of uncertainty in epidemic parameter estimates and predictions using stochastic compartmental models, Statistical Methods in Medical Research, Vol:28, ISSN:0962-2802, Pages:3591-3608

Wang H, Zhang Y, Mei Z, et al., 2019, Protocol for a multicenter, real-world study of HIV pre-exposure prophylaxis among men who have sex with men in China (CROPrEP), Bmc Infectious Diseases, Vol:19

Zimmer C, Leuba SI, Yaesoubi R, et al., 2018, Use of daily Internet search query data improves real-time projections of influenza epidemics, Journal of the Royal Society Interface, Vol:15, ISSN:1742-5689

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