Professor David Greenhalgh

Mathematics and Statistics


Personal statement

I gained a PhD from the University of Cambridge in 1984 and worked at Imperial College, London from 1984 to 1986. I also have a first class Honours degree in Mathematics and a distinction in Part III Mathematics. I am currently a member of the Population Modelling and Epidemiology Research Group at Strathclyde and have been a member of Strathclyde in the Departments of Mathematics, Statistics and Modelling Science and Mathematics and Statistics since 1986. I am currently Fourth Year Adviser of Studies and also Executive Editor of Journal of Biological Systems.

In 2015 I was awarded a two year (2015-2017) Leverhulme Trust Research Fellowship grant (50K RF-2015-88) as PI to study mathematical modelling of vaccination against dengue.

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Area of Expertise

I have expertise in mathematical and statistical modelling applied to biological problems, using differential equations to model biological problems, mathematical analysis, stochastic analysis, stochastic differential equations, maximum likelihood estimation and R software.

I have also taught many courses in the area of mathematics and statistics and supervised or co-supervised many undergraduate and postgraduate projects in mathematics and statistics.

Prize And Awards

British Malaysia Chamber of Commerce Business Excellence Awards, May 2022
Best Presentation at Conference Award

More prizes and awards

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Combatting Malaysia’s dengue outbreaks with auto-dissemination mosquito traps : a hybrid stochastic-deterministic SIR model
Wells Jonathan, Greenhalgh David, Liang Yanfeng, Megiddo Itamar, Nazni Wasi Ahmad, Guat-Ney Teoh, Lee Han Lim
Communication in Biomathematical Sciences Vol 6, pp. 169-188 (2023)
Modeling criminal careers of different levels of offence
Raimundo Silvia Martorano, Yang Hyun Mo, Rubio Felipe Alves, Greenhalgh David, Massad Eduardo
Applied Mathematics and Computation Vol 453 (2023)
Incorporation of awareness programs into a model of the spread of HIV/AIDS among people who inject drugs
Alsharari Maha, Greenhalgh David
Engineering Reports Vol 5 (2023)
Impact of tetravalent dengue vaccination with screening, ADE and altered infectivity on single-serotype dengue and Zika transmission
Kribs Christopher, Greenhalgh David
Journal of Mathematical Biology Vol 86 (2023)
Modeling the spread of hepatitis C virus amongst people who inject drugs
Greenhalgh David, Al-Rashidi Nader
Engineering Reports Vol 4 (2022)
Evaluation of a mosquito home system for controlling Aedes aegypti
Mohd Ngesom Ahmad Mohiddin, Razi Anis Ahmad, Azizan Nur Syahirah, Nazni Wasi Ahmad, Lasim Asmalia Md, Liang Yanfeng, Greenhalgh David, Min Jasmin Chia Siew, Sahani Mazrura, Hod Rozita, Othman Hidayatulfath
Parasites and Vectors Vol 14 (2021)

More publications

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My current teaching includes

MM111 Mathematics 1B

Teaches basic mathematics, foundations, calculus and complex numbers to engineering students.

MM114 Engineering Mathematics 2E

Teaches basic mathematics, calculus, geometry and vectors, matrices and numerical methods to engineering students.

MM118 Foundation Statistics.

Teaches basic statistics, data presentation, probability, hypothesis testing, confidence intervals, regression, correlation and association to bioscientists.

MM304 Inference and Regression Modelling.

Teaches statistical inference and advanced regression technques to mathematically based degree students.

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Research Interests

My research interests involves mathematical and statistical techniques applied to biological problems, in particular mathematical and statistical modelling in epidemiology. I have over eighty papers in high quality refereed journals and have supervised or co-supervised almost twenty research students, seventeen at PhD level. I am regularly invited to speak at international conferences including as keynote and plenary speaker. Application areas of interest include HIV/AIDS, both heterosexual spread and spread amongst intravenous drug users, dengue vaccination, hepatitis A, hepatitits C, mumps and rubella. I have extensive overseas collaborations including Brazil (Professor E. Massad), India (Professor J. Chattopadhyay), Oman (Professor Q. J. A. Khan), Germany and The Netherlands.

In 2015 I was awarded a two year (2015-2017) Leverhulme Trust Research Fellowship grant (50K RF-2015-88) as PI to study mathematical modelling of vaccination against dengue.

Professional Activities

3rd International Conference on Mathematical Analysis and Applications in Modelling
Keynote/plenary speaker
Christopher Kribs
2nd International Conference on Advanced Sensing and Intelligent Systems
Keynote/plenary speaker
Workshop on Recent Development of Mathematical Sciences on Biological and Dynamical Systems with Fuzzy and Fractional Environment
Invited speaker
The Ninth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing
Member of programme committee
3rd International Conference on Mathematical Analysis and Applications in Modelling
Member of programme committee

More professional activities


Mathematical Modelling of a Novel Autodissemination Mosquito Trap
Greenhalgh, David (Principal Investigator) Megiddo, Itamar (Co-investigator) Liang, Yanfeng (Researcher) Wells, Jonathan (Researcher) Massad, Eduardo (Research Co-investigator) Lee, H. (Research Co-investigator) Nazni, Wasi Ahmad (Research Co-investigator) Teoh, Guat-ney (Research Co-investigator) Ahmad Mohiddin, M. N. (Research Co-investigator) Hidayatul, Fathi Othman (Research Co-investigator) Bahauddin, R. (Research Co-investigator)
£49,988 award for an internally allocated 2018 Scottish Funding Council (SFC) Global Challenges Research Fund (GCRF) Escalator Fund with Dr. I. Megiddo, Management Science. Awarded June 2018. DG PI 80% share. Funding for two RAs for 10 months in total, plus staff time plus conference travel. Finance Office Budget Code SFC 1204-125.
01-Jan-2018 - 31-Jan-2019
A New, Sustainable, Effective and Efficient Strategy to Outsmart the Dengue Vector Mosquitoes (Newton Funds)
Greenhalgh, David (Principal Investigator)
A New, Sustainable, Effective and Efficient Strategy to Outsmart the Dengue Vector Mosquitoes - Newton Funds
01-Jan-2016 - 31-Jan-2019
EPSRC Institutional Sponsorship: Global Challenges Research Fund (GCRF) / R160677-105
Greenhalgh, David (Principal Investigator)
01-Jan-2016 - 31-Jan-2017
Mathematical Modelling of Vaccination Against Dengue
Greenhalgh, David (Principal Investigator)
01-Jan-2015 - 31-Jan-2017
Memorandum of understanding with Sultan Qaboos University, Oman
Greenhalgh, David (Principal Investigator) Khan, Qamar (Academic)
I have arranged a Memorandum of Understanding with Sultan Qaboos University, Oman for potential undergraduate student and postgraduate student exchange, exchanges of staff and joint research projects.
29-Jan-2015 - 29-Jan-2018
KTA - Applying Mathematical Models To Inform Health Professional In Scotland On How To Prevent HCV
Hutchinson, Sharon (Principal Investigator) Greenhalgh, David (Co-investigator)
Applying mathematical models to inform health professionals in Scotland on how to prevent the transmission of Hepatitis C among people who inject drugs
03-Jan-2011 - 31-Jan-2013

More projects

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Professor David Greenhalgh
Mathematics and Statistics

Tel: 548 3653