Mathematical Modelling of Tuberculosis in Cameroon
Tuberculosis (TB) is a preventable and curable disease caused by Mycobacterium tuberculosis (Mtb) that most often affects the lungs. Mtb’s infection can remain latent, become active, or it can progress from latent TB to active TB either by endogenous re-activation and/or exogenous re-infection. Active TB is most of the time acquired through co-infection of Mtb with other diseases (diabetes, HIV/AIDS) or some substance abuse such as alcohol and tobacco.
The mathematical analysis of biomedical and disease transmission models can significantly contribute to the understanding of the mechanisms of those processes and to the design of potential therapies.
Publications
2015
2014
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2015 |
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Dany Pascal Moualeu-Ngangue, Martin Weiser, Rainald Ehrig, Peter Deuflhard | Optimal control for a tuberculosis model with undetected cases in Cameroon | Communications in Nonlinear Science and Numerical Simulation, 20(3), pp. 986-1003, 2015 (preprint available as ZIB-Report 13-73) |
PDF (ZIB-Report)
BibTeX DOI |
Dany Pascal Moualeu-Ngangue, Susanna Röblitz, Rainald Ehrig, Peter Deuflhard | Parameter Identification in a Tuberculosis Model for Cameroon | PLOS ONE, 2015 (preprint available as ZIB-Report 13-72) |
PDF (ZIB-Report)
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2014 |
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Dany Pascal Moualeu-Ngangue, Samuel Bowong, Jürgen Kurths | Parameter Estimation of a Tuberculosis Model in a Patchy Environment: Case of Cameroon | BIOMAT - Proceedings of the 12th International Symposium on Mathematical and Computational Biology, Toronto, 2013, 2014 |
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2013 |
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Dany Pascal Moualeu-Ngangue | A Mathematical Tuberculosis Model in Cameroon | Doctoral thesis, Freie Universität Berlin, Peter Deuflhard (Advisor), 2013 |
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