Projects per year
Personal profile
Research interests
I am a Lecturer and Medical Research Council Skills Development Fellow in the Department of Mathematical Sciences. I am also an Academy of Medical Sciences Springboard Award holder and a member of the RSE Young Academy of Scotland.
I use mathematical modelling techniques to model infectious disease spread within the body. I use differential equations and individual-based models to mimic disease progression and simulate novel treatment strategies.
External positions
Honorary Lecturer, University of St Andrews
15 Sep 2020 → 14 Sep 2023Fingerprint
Dive into the research topics where Ruth Bowness is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 2 Active
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Using individual-based mathematical models to study antibiotic resistance
The Academy of Medical Sciences
15/09/20 → 30/09/22
Project: UK charity
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A novel hybrid discrete-continum cellelar autoaton model to study tuberculosis disease progression and treatment
15/09/20 → 14/07/21
Project: Research council
Research output
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How mechanistic in silico modelling can improve our understanding of TB disease and treatment
Pitcher, M., Dobson, S., Kelsey, T., Chaplain, M., Sloan, D., Gillespie, S. H. & Bowness, R., 1 Nov 2020, In: The International Journal of Tuberculosis and Lung Disease . 24, 11, p. 1145-1150 6 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Modelling the effects of environmental heterogeneity within the lung on the tuberculosis life-cycle
Pitcher, M. J., Bowness, R., Dobson, S., Eftimie, R. & Gillespie, S. H., 7 Dec 2020, In: Journal of Theoretical Biology. 506, 110381.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Tuberculosis bacillary load, an early marker of disease severity: The utility of tuberculosis Molecular Bacterial Load Assay
Sabiiti, W., Azam, K., Farmer, E. C. W., Kuchaka, D., Mtafya, B., Bowness, R., Oravcova, K., Honeyborne, I., Evangelopoulos, D., McHugh, T. D., Khosa, C., Rachow, A., Heinrich, N., Kampira, E., Davies, G., Bhatt, N., Ntinginya, E. N., Viegas, S., Jani, I., Kamdolozi, M. & 8 others, , 30 Apr 2020, In: Thorax. 2020, 75, p. 606-608 3 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
A spatially heterogeneous network-based metapopulation software model applied to the simulation of a pulmonary tuberculosis infection
Pitcher, M. J., Bowness, R., Dobson, S. & Gillespie, S. H., 1 Dec 2018, In: Applied Network Science. 3, 1, 33.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Modelling the effects of bacterial cell state and spatial location on tuberculosis treatment: Insights from a hybrid multiscale cellular automaton model
Bowness, R., Chaplain, M. A. J., Powathil, G. G. & Gillespie, S. H., 7 Jun 2018, In: Journal of Theoretical Biology. 446, p. 87-100 14 p.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (Scopus)