Imperial College London

Dr Kate Mitchell

Faculty of MedicineSchool of Public Health

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 3342kate.mitchell Website

 
 
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Location

 

UG4Norfolk PlaceSt Mary's Campus

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Summary

 

Summary

I am a Research Fellow working for the HIV Prevention Trials Network (HPTN) Modelling Centre. I use mathematical modelling of HIV transmission amongst key populations (including men who have sex with men) to inform and interpret clinical trials being developed and conducted by the HPTN.

An introduction to the work of the HPTN modelling centre

I did my PhD at the University of Edinburgh, modelling immune responses to human schistosomiasis infection at the population level. I then worked at the London School of Hygiene and Tropical Medicine, modelling HIV and STI transmission and control amongst key populations in southern India, China and Nigeria.

TEACHING

I teach on the short course Introduction to Mathematical Models of the Epidemiology & Control of Infectious Diseases and the MSc in Epidemiology.

Journal editing

  • Deputy Editor for the Journal of the International AIDS Society (2018-2020)
  • Associate Editor for BMC Infectious Diseases (2016-2018)

Publications

Journals

Mitchell KM, Dimitrov D, Silhol R, et al., 2020, Estimating the potential impact of COVID-19-related disruptions on HIV incidence and mortality among men who have sex with men in the United States: a modelling study., Medrxiv

Geidelberg L, Mitchell KM, Alary M, et al., 2020, A mathematical model impact analysis of a real-life pre-exposure prophylaxis and treatment-as-prevention study among female sex workers in Cotonou, Benin., Jaids: Journal of Acquired Immune Deficiency Syndromes, ISSN:1525-4135

Booton RD, Fu G, MacGregor L, et al., 2020, Estimating the impact of disruptions due to COVID-19 on HIV transmission and control among men who have sex with men in China., Medrxiv

Foss AM, Prudden HJ, Mitchell KM, et al., 2020, Using data from 'visible' populations to estimate the size and importance of 'hidden' populations in an epidemic: A modelling technique., Infectious Disease Modelling, Vol:5, ISSN:2468-2152, Pages:798-813

Moore JR, Donnell DJ, Boily M-C, et al., 2020, Model-based predictions of HIV incidence among African women using HIV risk behaviors and community-level data on male HIV prevalence and viral suppression., J Acquir Immune Defic Syndr

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