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20012019
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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 Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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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 2018

Modelling the effect of a novel auto-dissemination trap on the spread of dengue in high-rise condominia, Malaysia

Greenhalgh, D., Liang, Y., Nazni, W. A., Teoh, G., Lee, H. L. & Massad, E., 20 Dec 2018, In : Journal of Biological Systems. 26, 4, p. 553-578 26 p.

Research output: Contribution to journalArticle

Open Access
File
Malaysia
dengue
Dengue
Culicidae
mosquito
2 Citations

Analysis of the optimal vaccination age for Dengue in Brazil with a tetravalent Dengue vaccine

Maier, S. B., Huang, X., Massad, E., Amaku, M., Burattini, M. N. & Greenhalgh, D., 31 Dec 2017, In : Mathematical Biosciences. 294, p. 15-32 18 p.

Research output: Contribution to journalArticle

Open Access
File
Dengue Vaccines
Vaccines
dengue
Dengue
Vaccination

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)

Student thesis: Doctoral Thesis

Modelling the effect of stochasticity in epidemic and HIV models

Author: Liang, Y., 1 Apr 2016

Supervisor: Greenhalgh, D. (Supervisor) & Mao, X. (Supervisor)

Student thesis: Doctoral Thesis

Activities 1996 2018

Measuring unrecognised replication present in HIV databases.

David Greenhalgh (Invited speaker)
3 Sep 2018

Activity: Talk or presentation typesInvited talk

Modelling dengue vaccination programs

David Greenhalgh (Invited speaker)
19 Aug 2018

Activity: Talk or presentation typesInvited talk

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