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Dr Nicky McCreesh

Associate Professor

United Kingdom

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

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
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)
Africa Health Research Institute (AHRI) Household Contact study: a study protocol, statistical analysis and modelling plan
KHAN, PY; GOVENDER, I; MCCREESH, N; SWEENEY, S; Sithole, M; Ording-Jespersen, G; Buthelezi, X; Houben, RM G J; Baisley, K; Smit, T; Wong, EB; Hanekom, W; WHITE, RG; Vassall, A; FIELDING, K; GRANT, AD;
2024
Wellcome open research
Qualitative system dynamics modelling to support the design and implementation of tuberculosis infection prevention and control measures in South African primary health care facilities.
Diaconu, K; Karat, A; BOZZANI, F; MCCREESH, N; Falconer, J; Voce, A; VASSALL, A; GRANT, AD; Kielmann, K;
2024
Health policy and planning
Investigating Complex HPV Dynamics Using Emulation and History Matching
Iskauskas, A; Cohen, JA; Scarponi, D; Vernon, I; Goldstein, M; Klein, D; White, RG; MCCREESH, N;
2024
Emulation and History Matching Using the <b>hmer</b> Package
Iskauskas, A; Vernon, I; Goldstein, M; Scarponi, D; MCCREESH, N; McKinley, TJ; WHITE, RG;
2024
Journal of Statistical Software
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
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