Carla Manuela Pinto

Prof. Carla Manuela Pinto

School of Engineering, Polytechnic of Porto
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Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2012 in Communications in Nonlinear Science and Numerical Simulation
Verified
Journal Article
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Carla Manuela PintoCarla Manuela Pinto
Carla Manuela Pinto
António LopesAntónio Lopes
António Lopes
Jose Antonio Tenreiro MachadoJose Antonio Tenreiro Machado
Jose Antonio Tenreiro Machado

1 March 2017 in Journal of Computational and Applied Mathematics
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Journal Article
Closed access
Carla Manuela PintoCarla Manuela Pinto
Carla Manuela Pinto
ACAna R.M. Carvalho
Ana R.M. Carvalho

1 September 2013 in Computers & Mathematics with Applications
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Journal Article
Closed access
Carla Manuela PintoCarla Manuela Pinto
Carla Manuela Pinto
Jose Antonio Tenreiro MachadoJose Antonio Tenreiro Machado
Jose Antonio Tenreiro Machado

5 February 2016 in International Journal of Dynamics and Control
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Journal Article
Closed access
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ACAna Carvalho
Ana Carvalho
Carla Manuela PintoCarla Manuela Pinto
Carla Manuela Pinto

28 July 2006 in Journal of Mathematical Biology
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Journal Article
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Carla Manuela PintoCarla Manuela Pinto
Carla Manuela Pinto
MGMartin Golubitsky
Martin Golubitsky

5 January 2018 in Advances in Difference Equations
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Journal Article
Open access
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ACAna Rm Carvalho
Ana Rm Carvalho
Carla Manuela PintoCarla Manuela Pinto
Carla Manuela Pinto
DBDumitru Baleanu
Dumitru Baleanu
We study the burden of the HIV viremia and of treatment efficacy in the severity of the patterns of the HIV/HCV coinfection. For this, we derive a simple non-integer-order (fractional-order) model for the coinfection dynamics. Fractional-order models have been proved in the literature to provide good fits to real data from patients suffering from several diseases, such as HIV, dengue fever, and others. We have computed the basic reproduction number and the stability of the disease-free equilibrium of the model. The numerical results suggest that the HIV viral load impacts impressively the severity of the HCV infection. The treatment efficacy is also found to influence the natural progression of HCV on the HIV/HCV coinfection. The latter is repeated for all values of the order of the fractional derivative. Moreover, the fractional derivative may pave the way to better understanding the individuals’ patients’ adjustments to treatment and to viremia.