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.

Expertise

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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

Recipient

26/5/2022

Best Presentation at Conference Award

Recipient

21/8/2019

More prizes and awards

Publications

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Publications

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

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)

https://doi.org/10.1007/s00285-023-01915-7

Modeling the spread of hepatitis C virus amongst people who inject drugs

Greenhalgh David, Al-Rashidi Nader

Engineering Reports Vol 4 (2022)

https://doi.org/10.1002/eng2.12503

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)

https://doi.org/10.1186/s13071-021-04918-9

Evaluating the potential of pyriproxyfen dissemination using mosquito home system against Aedes albopictus at dengue hotspot area

Mohd Ngesom Ahmad Mohiddin, Ahmad Nazni Wasi, Han Lim Lee, Md Lasim Asmalia, Greenhalgh David, Sahani Mazrura, Hod Rozita, Othman Hidayatulfathi

Sains Malaysiana Vol 50 (2021)

More publications

Research

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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

16th International Conference on Machine Learning and Computing

Keynote/plenary speaker

2/2/2024

The 7th International Conference on Big Data Management

Keynote/plenary speaker

2/2/2024

Julie Priscilla Souza dos Santos

Host

1/1/2024

2nd International Conference on Mathematical Analysis and Applications in Modelling

Keynote/plenary speaker

9/10/2023

Asep Supriatna

Host

1/9/2023

Glasgow Computational Biology Conference

Participant

3/7/2023

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