• United Kingdom

Accepting PhD Students

PhD projects

Stochastic Models in Epidemiology and Population Dynamics

Mathematical Modelling of Disease Awareness Programs

Non-intrusive Management of Complex Systems

20012020
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Personal profile

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 & Capabilities

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.

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.

Industrial Relevance

I have worked in collaboration with Health Protection Scotland (mathematical modelling of the spread of pneumococcus and the introduction of new pneumococcus vaccines, mathematical modelling of the spread of hepatitis C and hepatitis C control strategies such as needle cleaning and needle exchange and the effect of heterogeneity). I have also been involved in the development of a statistically based algorithm for infectious disease outbreak reporting which formed the basis of the system currently used by Health Protection Scotland. I have worked as a consultant for Public Health England where I was involved in identifying and quantifying replication in anonymous HIV test databases.

I have also worked with Wyeth vaccines on developing new vaccines for pneumococcus. and with Capita on statistical analysis of telephone call centre data.

Teaching Interests

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.

Education/Academic qualification

Doctor of Engineering, University of Cambridge

Master of Arts, University of Cambridge

Master of Mathematics, University of Cambridge

Bachelor of Arts, University of Cambridge

Fingerprint Dive into the research topics where David Greenhalgh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2005 2019

Research Output 2001 2020

The optimal age of vaccination against dengue with an age-dependent biting rate with application to Brazil

Maier, S. B., Massad, E., Amaku, M., Burattini, M. N. & Greenhalgh, D., 14 Jan 2020, In : Bulletin of Mathematical Biology. 82, 32 p., 12.

Research output: Contribution to journalArticle

Open Access
File
biting rates
dengue
Dengue
Vaccination
vaccination

Eco-epidemiological model with fatal disease in the prey

Greenhalgh, D., Khan, Q. J. A. & Al-Kharousi, F. A., 27 Nov 2019, In : Nonlinear Analysis: Real World Applications. 53, 19 p., 103072.

Research output: Contribution to journalArticle

Epidemiological Model
Prey
Predator
Threshold Parameter
Likelihood

Thesis

Determination of the optimal age to vaccinate against dengue using a tetravalent dengue vaccine in Brazil

Author: Maier, S., 1 Oct 2018

Supervisor: Greenhalgh, D. (Supervisor) & Kelly, L. (Supervisor)

Student thesis: Doctoral Thesis

Mathematical models of the spread of Hepatitis C among injecting drug users : the effects of heterogeneity

Author: Alfwzan, W. F. A., 1 Nov 2014

Supervisor: Greenhalgh, D. (Supervisor) & Hutchinson, S. (Supervisor)

Student thesis: Doctoral Thesis

Activities 1996 2020

School of Applied Mathematics, Fundacao Getulio Vargas, Rio de Janeiro,

David Greenhalgh (Visiting researcher)
1 Mar 202015 Sep 2020

Activity: Visiting an external institution typesVisiting an external academic institution

School of Applied Mathematics, Fundacao Getulio Vargas, Rio de Janeiro,

David Greenhalgh (Visiting researcher)
1 Nov 201915 Jan 2020

Activity: Visiting an external institution typesVisiting an external academic institution

Impacts

Health and cost benefits of monitoring infectious diseases using novel statistical methods.

Chris Robertson (Participant), David Greenhalgh (Participant), George Gettinby (Participant), J. McMenamin (Participant), C.R. Simpson (Participant), Nazir Lone (Participant)

Impact: Impact - for External PortalEconomic and commerce, Health and welfare - new products, guidelines and services

File