Imperial College London

DrKeithFraser

Faculty of MedicineSchool of Public Health

Research Associate
 
 
 
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Contact

 

+44 (0)20 7594 3265keith.fraser Website

 
 
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Location

 

Norfolk PlaceSt Mary's Campus

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Summary

 

Summary

I am a Research Associate working for Dr. Katy Gaythorpe on the modelling of yellow fever burden and vaccination impact. Current work includes the development of a dynamic yellow fever outbreak model.

My research background is in the physical sciences - I studied Materials Science at undergraduate and PhD level at St. Anne's College, University of Oxford. I subsequently worked in materials characterization at Trinity College Dublin, the University of Lyon, and the Department of Physics and Astronomy at University College London. I moved into the field of epidemiology by working in HIV phylogenetics in the Division of Infection and Immunity at University College London. I subsequently worked for Professor Azra Ghani in the Malaria Modelling Group in the School of Public Health at Imperial on simulations and data analysis for both malaria vector control (specifically, the use of attractive toxic sugar baits, in collaboration with IVCC) and on gene flow in the malaria parasite (in collaboration with Dr. Robert Verity). I have also been involved in the work of the Imperial COVID-19 response team.

Publications

Journals

Knock ES, Whittles LK, Lees JA, et al., 2021, Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England, Science Translational Medicine, Vol:13, ISSN:1946-6234, Pages:1-12

Fraser KJ, Mwandigha L, Traore SF, et al., 2021, Estimating the potential impact of Attractive Targeted Sugar Baits (ATSBs) as a new vector control tool for Plasmodium falciparum malaria, Malaria Journal, Vol:20, ISSN:1475-2875

Fu H, Wang H, Xi X, et al., 2021, A database for the epidemic trends and control measures during the first wave of COVID-19 in mainland China, International Journal of Infectious Diseases, Vol:102, ISSN:1201-9712, Pages:463-471

Grassly NC, Pons-Salort M, Parker EPK, et al., 2020, Comparison of molecular testing strategies for COVID-19 control: a mathematical modelling study, Lancet Infectious Diseases, Vol:20, ISSN:1473-3099, Pages:1381-1389

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