Imperial College London

DR HANNAH C SLATER

Faculty of MedicineSchool of Public Health

Research Fellow in Malaria Epidemiology
 
 
 
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Contact

 

hannah.slater08

 
 
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Location

 

G26Norfolk PlaceSt Mary's Campus

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Summary

 

Summary

I am a research associate in the Department of Infectious Disease Epidemiology at Imperial College. My research involves using mathematical models of malaria transmission to investigate how different control interventions impact disease dynamics and how we can use novel interventions to reduce transmission. I am also interested in understanding how resistance to artemisinin or the partner drugs used in artemisinin combination therapy could impact malaria transmission in Africa if it were to develop there as it has in Cambodia and Thailand.

Other current research interests include modelling parasite-mosquito interactions to understand how the ‘optimal’ immune strategy of each organism is determined, modelling the co-infection of malaria and lymphatic Filariasis in the human and the vector, and mapping where this co-infection exists in Africa using Bayesian geostatistical techniques.  

My PhD was undertaken at Imperial College and titled: ‘Spatial epidemiology and the integrated control of malaria and lymphatic filariasis in Africa’. I completed this under the supervision of Professor Edwin Michael and Dr Simon Buckle. 

Publications

Journals

Watson OJ, Slater HC, Verity R, et al., 2017, Modelling the drivers of the spread of Plasmodium falciparum hrp2 gene deletions in sub-Saharan Africa, Elife, Vol:6, ISSN:2050-084X

Brady OJ, Slater HC, Pemberton-Ross P, et al., 2017, Role of mass drug administration in elimination of Plasmodium falciparum malaria: a consensus modelling study, Lancet Global Health, Vol:5, ISSN:2214-109X, Pages:E680-E687

Parr JB, Verity R, Doctor SM, et al., 2017, Pfhrp2-Deleted Plasmodium falciparum Parasites in the Democratic Republic of the Congo: A National Cross-sectional Survey, Journal of Infectious Diseases, Vol:216, ISSN:0022-1899, Pages:36-44

Sherrard-Smith E, Churcher TS, Upton LM, et al., 2017, A novel model fitted to multiple life stages of malaria for assessing efficacy of transmission-blocking interventions, Malaria Journal, Vol:16, ISSN:1475-2875

Slater HC, Okell LC, Ghani AC, 2017, Mathematical Modelling to Guide Drug Development for Malaria Elimination, Trends in Parasitology, Vol:33, ISSN:1471-4922, Pages:175-184

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