Professor David Greenhalgh

Mathematics and Statistics

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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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Publications

Treatment of methanol toxicity through ethanol and folinic acid : a mathematical study
Sardar Sanju, Roy Priti Kumar, Ahammed Sk Mosaraf, Ghosh Tushar, Greenhalgh David
Journal of Theoretical Biology Vol 618 (2026)
https://doi.org/10.1016/j.jtbi.2025.112304
Mathematical insight of methanol toxicity management using charcoal and folinic acid
Sardar Sanju, Roy Priti Kumar, Kushary Subhankar, Greenhalgh David
Mathematical Analysis and Applications in Biological Phenomena through Modelling - ICMAAM-2023 2nd International Conference on Mathematical Analysis and Applications in Modelling Springer Proceedings in Mathematics & Statistics, pp. 239-249 (2025)
https://doi.org/10.1007/978-981-97-9194-1_17
Combined impact of fear and Allee effect in predator-prey interaction models on their growth
Al Amri Kawkab Abdullah Nabhan, Khan Qamar J A, Greenhalgh David
Mathematical Biosciences and Engineering Vol 21, pp. 7211-7252 (2024)
https://doi.org/10.3934/mbe.2024319
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)
https://doi.org/10.5614/cbms.2023.6.2.7
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)
https://doi.org/10.1016/j.amc.2023.128073
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)
https://doi.org/10.1002/eng2.12593

More publications

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Teaching

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

4th International Conference on Mathematical Analysis and Modeling
Keynote/plenary speaker
12/10/2026
The 19th International Conference on Machine Learning and Computing
Chair
3/7/2026
20th International Conference on Health Informatics
Member of programme committee
6/5/2026
20th International Conference on Health Informatics
Member of programme committee
6/5/2026
The 10th International Conference on Computing and Data Analyticsis
Chair
23/3/2026
The 10th International Conference on Algorithms, Computing and Systems
Chair
23/3/2026

More professional activities

Projects

Extension: Mathematical Modelling of a Novel Autodissemination Trap.
Greenhalgh, David (Principal Investigator) Megiddo, Itamar (Co-investigator)
£10,343 extension to our Scottish Funding Council (SFC) Global Challenges Research Fund (GCRF) Escalator Fund. Three extra months RA effort.
01-Jan-2019 - 31-Jan-2019
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
Mathematically Modelling the Risk of Zika Virus to Tourists to Brazil
Greenhalgh, David (Principal Investigator)
Summer internship funded by RI@S
01-Jan-2016 - 31-Jan-2016
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

More projects

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Contact

Professor David Greenhalgh
Mathematics and Statistics

Email: david.greenhalgh@strath.ac.uk
Tel: 548 3804