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.


Has expertise in:

    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.

Prizes and awards

Best Presentation at Conference Award

More prizes and awards


A review: Autodissemination of Pyriproxyfen as novel strategy to control dengue outbreaks
Mohd Ngeson Ahmad Mohiddin, Greenhalgh David, Md Lasim Asmalia, Sahani Mazrura, Hod Rozita, Othman Hidayatulfath
Journal of Science & Technology (2020)
Eco-epidemiological model with fatal disease in the prey
Greenhalgh David, Khan Qamar JA, Al-Kharousi Fatma Ahmed
Nonlinear Analysis: Real World Applications Vol 53 (2020)
The optimal age of vaccination against dengue in Brazil based on serotype-specific forces of infection derived from serological data
Maier Sandra B, Massad Eduardo, Amaku Marcos, Burattini Marcelo N, Greenhalgh David
Mathematical Medicine and Biology (2020)
The optimal age of vaccination against dengue with an age-dependent biting rate with application to Brazil
Maier Sandra B, Massad Eduardo, Amaku Marcos, Burattini Marcelo N, Greenhalgh David
Bulletin of Mathematical Biology Vol 82 (2020)
Estimation of the expected number of cases of microcephaly in Brazil as a result of Zika
Liang Yanfeng, Greenhalgh David
Mathematical Biosciences and Engineering Vol 16, pp. 8217–8242 (2019)
Modelling the effect of a novel autodissemination trap on the spread of dengue in Shah Alam and Malaysia
Liang Y, Ahmad Mohiddin M N, Bahauddin R, Hidayatul F O, Nazni W A, Lee H L, Greenhalgh D
Computational and Mathematical Methods in Medicine Vol 2019 (2019)

More publications


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.

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

Christopher Kribs
4th International Conference on Big Data Management
13th International Conference on Machine Learning and Computing
The 2nd Communication Technologies and Cloud Computing Conference
Member of programme committee
14th International Conference on Health Informatics
Member of programme committee
School of Applied Mathematics, Fundacao Getulio Vargas, Rio de Janeiro,
Visiting researcher

More professional activities


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)
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


Mathematics and Statistics
Livingstone Tower

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