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

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
Recipient
21/8/2019

more prizes and awards

Publications

An eco-epidemiological predator-prey model where predators distinguish between susceptible and infected prey
Greenhalgh David, Khan Qamar J A, Pettigrew Joseph S
Mathematical Methods in the Applied Sciences Vol 40, pp. 146-166 (2017)
Magnitude and frequency variations of vector-borne infection outbreaks using the Ross–Macdonald model : explaining and predicting outbreaks of dengue fever
Amaku M, Azevedo F, Burattini M N, Coelho G E, Coutinho F A B, Greenhalgh D, Lopez L F, Motitsuki R S, Wilder-Smith A, Massad E
Epidemiology and Infection Vol 144, pp. 3435-3450 (2016)
https://doi.org/10.1017/S0950268816001448
Modelling the effect of telegraph noise in the SIRS epidemic model using Markovian switching
Greenhalgh D, Liang Y, Mao X
Physica A: Statistical Mechanics and its Applications Vol 462, pp. 684-704 (2016)
https://doi.org/10.1016/j.physa.2016.06.125
The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil
Ximenes Raphael, Amaku Marcos, Lopez Luis Fernandez, Coutinho Francisco Antonio Bezzerra, Burattini Marcelo Nascimento, Greenhalgh David, Wilder-Smith Annelies, Struchiner Claudio José, Massad Eduardo
BMC Infectious Diseases Vol 16 (2016)
https://doi.org/10.1186/s12879-016-1517-z
A stochastic differential equation model for the spread of HIV amongst people who inject drugs
Liang Yanfeng, Greenhalgh David, Mao Xuerong
Computational and Mathematical Methods in Medicine Vol 2016 (2016)
https://doi.org/10.1155/2016/6757928
SDE SIS epidemic model with demographic stochasticity and varying population size
Greenhalgh D, Liang Y, Mao X
Applied Mathematics and Computation Vol 276, pp. 218-238 (2016)
https://doi.org/10.1016/j.amc.2015.11.094

more publications

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.

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
Host
1/8/2020
4th International Conference on Big Data Management
Chair
13/7/2020
13th International Conference on Machine Learning and Computing
Chair
13/7/2020
The 2nd Communication Technologies and Cloud Computing Conference
Member of programme committee
3/7/2020
14th International Conference on Health Informatics
Member of programme committee
20/4/2020
School of Applied Mathematics, Fundacao Getulio Vargas, Rio de Janeiro,
Visiting researcher
1/3/2020

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)
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

Address

Mathematics and Statistics
Livingstone Tower

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