Dr Nicky McCreesh

Associate Professor

United Kingdom

Email
Nicky

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)

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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