
Clement Twumasi
Myfyriwr ymchwil, Yr Ysgol Mathemateg
- twumasic@cardiff.ac.uk
- 07411484454
- Room M/2.04, 21-23 Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG
Mae'r cynnwys hwn ar gael yn Saesneg yn unig.
Trosolwg
Research summary
The overarching aim of my PhD research was to develop novel mathematical models to help better understand the spread of Gyrodactylus infection dynamics of three different parasite strains across three different populations of fish. It required the development of novel agent-based stochastic simulation and sophisticated mathematical models as well as novel Approximate Bayesian Computation for complex model calibration. This field/research required advanced knowledge of both theoretical mathematics and statistics as well as modelling and programming skills.
Publications
2021
- Machine learning algorithms for forecasting and backcasting blood demand data with missing values and outliers: A study of Tema General Hospital of Ghana. International Journal of Forecasting (Published- 31st December 2021).
- An Experimental Study of Lesions Observed in Bog Body Funerary Performances. Experimental Archaeology Journal (Published- 26th August 2021).
2020
2019
- Statistical Modeling of HIV, Tuberculosis, and Hepatitis B Transmission in Ghana. Canadian Journal of Infectious Diseases and Medical Microbiology (Published-24th December 2019).
- Markov Chain Modeling of HIV, Tuberculosis, and Hepatitis B Transmission in Ghana. Interdisciplinary Perspectives on Infectious Diseases. (Published-20th November 2019).
Research group: Statistics and Operational Research
Ymchil
Diddordebau ymchwil
Funding source
Vice Chancellor’s International Scholarship for Research Excellence Award for Doctor of Philosophy of Mathematics, Cardiff University (UK) 2018/2019
Teachings
- Probability Theory
- Statistical inference
- Time Series Analysis
- Maths Support (across all disciplines of Cardiff University)
Background of study
The management of infectious disease is a major concern for conservation of wild fish stocks and is a primary constraint on the viability and sustainability of farmed fish. One pathogen alone, infectious salmon anaemia, is estimated to have cost the Scottish farming industry £20 million in the 1998/1999 outbreak, and still costs the Norwegian and Canadian industries around US$11 and $14 million, respectively, per annum. Emerging infectious diseases also pose a serious economic risk to freshwater fisheries, with a number of newly detected pathogens causing large scale disease outbreaks in England, and, some trout fisheries in South Wales and South West England have had to close due these pathogens. Investigating the dynamics of infectious diseases among fishes is of high importance since farmed fish are the major source of human protein and aquaculture contributes significantly to the world economy.
Aims
This research will focus on the dynamics of Gyrodactylus parasitic infections among fish. Quite a bit is known about the dynamics of Gyrodactylus infections on a single fish, and there exist (agent based) simulation models that reproduce these dynamics. The overarching aim of this research is to produce a simulation model for Gyrodactylus infections across a whole population of fish, realistic enough that it can be used to inform management decisions for the control of Gyrodactylus infections. Aprroximate Bayesian Computation would be used for model calibration. Several other complex models would be developed for subsequent objectives.
Research area
- Compartmental models (Dynamical Systems)
- Continuous-time Markov chains
- Predator-prey models and host-parasite models
- Biology of Gyrodactylus parasites
- Social Network Models
Dysgu
- Postgraduate Tutor/ Teaching Assistance, Cardiff School of Mathematics
- Graduate Teaching Assistant
September 2017 - September 2018
Department of Statistics
University of Ghana-Legon
Duties: teach graduate courses including Stochastic Processes, Advanced Engineering Mathematics as well as Estimation and Statistical Inference. Assist other lecturers in courses at other departments involving statistics in the university. - National Service (Research Assistant and Teaching Assistant)
September 2015- Oct. 2016
School of Public Health/Department of Statistics and Mathematics
University of Ghana Accra-Legon
Duties: taught Multivariate Methods, Stochastic Processes, Actuarial Statistics and Numeracy Skills at the Department of Statistics as a teaching assistant. Taught Financial Mathematics at the Department of Mathematics. Assisted in Projects or academic research works and taught Biostatics at the School of Public Health as TA.
Traethawd ymchwil
In Silico Modelling Of Parasite Dynamics
Background
The management of infectious disease is a major concern for conservation of wild fish stocks and is a primary constraint on the viability and sustainability of farmed fish. One pathogen alone, infectious salmon anaemia, is estimated to have cost the Scottish farming industry £20 million in the 1998/1999 outbreak, and still costs the Norwegian and Canadian industries around US$11 and $14 million, respectively, per annum. Emerging infectious diseases also pose a serious economic risk to freshwater fisheries, with a number of newly detected pathogens causing large scale disease outbreaks in England, and, some trout fisheries in South Wales and South West England have had to close due these pathogens. Investigating the dynamics of infectious diseases among fishes is of high importance since farmed fish are the major source of human protein and aquaculture contributes significantly to the world economy.
Aims
This research will focus on the dynamics of Gyrodactylus parasitic infections among fish. Quite a bit is known about the dynamics of Gyrodactylus infections on a single fish, and there exist (agent based) simulation models that reproduce these dynamics. The overarching aim of this research is to produce a simulation model for Gyrodactylus infections across a whole population of fish, realistic enough that it can be used to inform management decisions for the control of Gyrodactylus infections. Aprroximate Bayesian Computation would be used for model calibration. Several other complex models would be developed for subsequent objectives.
Research Area:
- Compartmental models (Dynamical Systems)
- Continuous-time Markov chains
- Predator-prey models and host-parasite models
- Biology of Gyrodactylus parasites
- Social Network Models
Ffynhonnell ariannu
Vice Chancellor's International Scholarship for Research Excellence
Goruchwyliaeth

Yr Athro Owen Jones
Chair in Operational Research
