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
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) Dany Pascal Moualeu-Ngangue, Martin Weiser, Rainald Ehrig, Peter Deuflhard PDF (ZIB-Report)
BibTeX
DOI
Mathematical Modelling of Tuberculosis in Cameroon
Parameter Identification in a Tuberculosis Model for Cameroon PLOS ONE, 2015 (preprint available as ZIB-Report 13-72) Dany Pascal Moualeu-Ngangue, Susanna Röblitz, Rainald Ehrig, Peter Deuflhard PDF (ZIB-Report)
BibTeX
DOI
Mathematical Modelling of Tuberculosis in Cameroon
2014
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 Dany Pascal Moualeu-Ngangue, Samuel Bowong, Jürgen Kurths BibTeX
DOI
Mathematical Modelling of Tuberculosis in Cameroon
2013
A Mathematical Tuberculosis Model in Cameroon Doctoral thesis, Freie Universität Berlin, Peter Deuflhard (Advisor), 2013 Dany Pascal Moualeu-Ngangue BibTeX
URN
Mathematical Modelling of Tuberculosis in Cameroon