Dr Nicky McCreesh BSc MSc PhD
- Nicky McCreesh's Contacts
- Keppel Street
- WC1E 7HT
I have a BSc in Natural Sciences (Maths and Anthropology) from Durham University and an MSc in Epidemiology from LSHTM. My PhD, at Durham University, used mathematical modelling to predict the effects of climate change on schistosomiasis transmission in eastern Africa. Between my MSc and PhD, I spent a year at the MRC rural field site in Uganda, conducting the data analysis for an empirical evaluation of respondent-driven sampling.
I teach on the MSc modules 'Modelling & the Dynamics of Infectious Diseases' and 'Epidemiology and Control of Communicable Diseases', and am co-organiser of and teach on the short course 'Introduction to Infectious Disease Modelling and Its Applications'
I am an MRC Skills Development Fellow, investigating how spatial data can be used to improve TB care and control intervention impact in high incidence settings. In addition to this, I am interested in how contact data can be used to develop a better understanding of potential M.tb. transmission sites, and to inform infection control interventions.
I have previously worked on a project on the calibration and analysis of complex individual-based stochastic models, and maintain an interest in techniques for the calibration of complex models.
Previous research includes HIV and schistosomiasis modelling, and work on respondent-driven sampling.
- Disease control
- Infectious disease policy
- GIS/Spatial analysis
- Mathematical modelling
Disease and Health Conditions
- Infectious disease
- Sub-Saharan Africa (all income levels)
- South Africa
Predicting the effects of climate change on Schistosoma mansoni transmission in eastern Africa.
McCreesh, N. ; Nikulin, G. ; Booth, M. ;
Parasit Vectors, 2015; 8(1):4
Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda.
Andrianakis, I.; Vernon, I.R.; McCreesh, N.; McKinley, T.J.; Oakley, J.E.; Nsubuga, R.N.; Goldstein, M.; White, R.G.;
PLoS Comput Biol, 2015; 11(1):e1003968
The effect of simulating different intermediate host snail species on the link between water temperature and schistosomiasis risk.
McCreesh, N. ; Booth, M. ;
PLoS One, 2014; 9(7):e87892
Challenges in predicting the effects of climate change on Schistosoma mansoni and Schistosoma haematobium transmission potential.
McCreesh, N. ; Booth, M. ;
Trends Parasitol, 2013; 29(11):548-55
Respondent Driven Sampling: Determinants of Recruitment and a Method to Improve Point Estimation
McCreesh, Nicky; Copas, Andrew; Seeley, Janet; Johnston, Lisa G.; Sonnenberg, Pam; Hayes, Richard J.; Frost, Simon D. W.; White, Richard G.
PLoS One, 2013; 8:e78402
Evaluation of Respondent-driven Sampling.
McCreesh, N. ; Frost, S.D. ; Seeley, J. ; Katongole, J. ; Tarsh, M.N. ; Ndunguse, R. ; Jichi, F. ; Lunel, N.L. ; Maher, D. ; Johnston, L.G. ; Sonnenberg, P. ; Copas, A.J. ; Hayes, R.J. ; White, R.G. ;
Epidemiology, 2012; 23(1):138-147
Exploring the potential impact of a reduction in partnership concurrency on HIV incidence in rural Uganda: a modeling study.
McCreesh, N. ; O'Brien, K. ; Nsubuga, R.N. ; Shafer, L.A. ; Bakker, R. ; Seeley, J. ; Hayes, R.J. ; White, R.G. ;
Sex Transm Dis, 2012; 39(6):407-13
Evaluation of the role of location and distance in recruitment in respondent-driven sampling.
McCreesh, N. ; Johnston, L.G. ; Copas, A. ; Sonnenberg, P. ; Seeley, J. ; Hayes, R.J. ; Frost, S.D. ; White, R.G. ;
Int J Health Geogr, 2011; 10:56
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