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Dr Nicky McCreesh

Associate Professor

United Kingdom

Jump to: Affiliations Teaching Research Publications

I am interested in the mathematical modelling of tuberculosis, and in understanding the role of heterogeneity (e.g. in contact patterns, infectiousness, natural history, and health seeking behaviour) in the transmission and control of TB.

I also work on the calibration and analysis of complex models, and was involved in the development of the history matching and model emulation R package hmer https://hmer-package.github.io/website/

Previous research includes HIV and schistosomiasis modelling, and work on respondent-driven sampling.

Affiliations
Department of Infectious Disease Epidemiology and Dynamics
Faculty of Epidemiology and Population Health

Centres

Centre for Mathematical Modelling of Infectious Diseases
TB Centre
Antimicrobial Resistance Centre

Teaching

I teach on the MSc modules 'Modelling & the Dynamics of Infectious Diseases' and 'Extended Epidemiology'. I am co-organiser of and teach on the short course 'Introduction to Infectious Disease Modelling and Its Applications', and am a member of the MSc Epidemiology Exam Board.

Research
Research Area
Mathematical modelling
Epidemiology
Disease and Health Conditions
Tuberculosis
HIV/AIDS
Country
South Africa
Region
Sub-Saharan Africa (all income levels)

Selected Publications
An explanation for the low proportion of tuberculosis that results from transmission between household and known social contacts.
MCCREESH, N; WHITE, RG;
2018
Scientific reports
Universal test, treat, and keep: improving ART retention is key in cost-effective HIV control in Uganda.
MCCREESH, N; ANDRIANAKIS, I; Nsubuga, RN; Strong, M; Vernon, I; McKinley, TJ; Oakley, JE; Goldstein, M; HAYES, R; WHITE, RG;
2017
BMC infectious diseases
Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa.
Stensgaard, A-S; Booth, M; Nikulin, G; MCCREESH, N;
2016
Geospatial health
Evaluation of respondent-driven sampling.
MCCREESH, N; FROST, SD W; SEELEY, J; Katongole, J; Tarsh, MN; Ndunguse, R; Jichi, F; Lunel, NL; Maher, D; Johnston, LG; Sonnenberg, P; Copas, AJ; HAYES, RJ; WHITE, RG;
2012
Epidemiology (Cambridge, Mass)
A competency framework on simulation modelling-supported decision-making for Master of Public Health graduates.
Hrzic, R; Cade, MV; Wong, BL H; MCCREESH, N; Simon, J; Czabanowska, K;
2023
Journal of public health
Is neglect of self-clearance biasing TB vaccine impact estimates?
Scarponi, D; CLARK, RA; Weerasuriya, CK; EMERY, J; HOUBEN, RM G J; WHITE, R; MCCREESH, N;
2023
BMJ global health
Time to change the way we think about tuberculosis infection prevention and control in health facilities: insights from recent research.
Yates, TA; Karat, AS; BOZZANI, F; MCCREESH, N; MacGregor, H; Beckwith, PG; GOVENDER, I; Colvin, CJ; Kielmann, K; GRANT, AD;
2023
Antimicrobial stewardship & healthcare epidemiology : ASHE
Introduction to Infectious Disease Modelling
MCCREESH, N;
2023
Is neglect of self-clearance biassing TB vaccine impact estimates?
SCARPONI, D; CLARK, RA; Weerasuriya, C; EMERY, JC; HOUBEN, RM; WHITE, RG; MCCREESH, N;
2023
medRxiv
Quantifying progression and regression across the spectrum of pulmonary tuberculosis: a data synthesis study
RICHARDS, AS; Sossen, B; EMERY, JC; HORTON, KC; Heinsohn, T; Frascella, B; Balzarini, F; Oradini-Alacreu, A; Häcker, B; Odone, A; MCCREESH, N; GRANT, AD; KRANZER, K; Cobelens, F; Esmail, H; HOUBEN, RM G J;
2023
The Lancet Global health
See more information
Nicky McCreesh

Contact

United Kingdom