COVID-19 @ CIDMA

 

Projects

• Controlo Ótimo e Modelação Matemática da Pandemia COVID-19: contributos para uma estratégia sistémica de intervenção em saúde na comunidade
• Predico: Prever a Evolução da Expansão e Incidência da COVID-19
• COVID-19: X-Ray Triage Prototype with Artificial Intelligence

 

Articles

• F. Ndairou, I. Area, J. J. Nieto, C. J. Silva and D. F. M. Torres, Fractional model of COVID-19 applied to Galicia, Spain and Portugal, Chaos Solitons Fractals 144 (2021), Art. 110652, 7 pp.
  Preprint: http://arxiv.org/abs/2101.01287
  URL: http://dx.doi.org/10.1016/j.chaos.2021.110652 
  
   
• Faiçal Ndairou, Iván Area, Juan J. Nieto and Delfim F. M. Torres, Mathematical Modeling of COVID-19 Transmission Dynamics with a Case Study of Wuhan, Chaos Solitons Fractals 135 (2020), Art. 109846.
  URL: http://dx.doi.org/10.1016/j.chaos.2020.109846

 

• Faiçal Ndairou, Iván Area, Georg Bader, Juan J. Nieto and Delfim F. M. Torres, Corrigendum to 'Mathematical Modeling of COVID-19 Transmission Dynamics with a Case Study of Wuhan' [Chaos Solitons Fractals 135 (2020), 109846], Chaos Solitons Fractals 141 (2020), Art. 110311.
  URL: http://dx.doi.org/10.1016/j.chaos.2020.110311
  
   
• C.J. Silva, C. Cruz, D.F.M. Torres, A.P. Munuzuri, A. Carballosa, I. Area, J.J. Nieto, R. Fonseca-Pinto, R. Passadouro da Fonseca, E. Soares dos Santos, W. Abreu and J. Mira, Optimal control of the COVID-19 pandemic: controlled sanitary deconfinement in Portugal,
  Scientific Reports 11 (2021), Art. 3451, 15 pp.
  URL: https://www.nature.com/articles/s41598-021-83075-6
  
   
• C.J. Silva, G. Cantin, C. Cruz, R. Fonseca-Pinto, R. Passadouro da Fonseca, E. Soares dos Santos, D.F.M. Torres, Complex network model for COVID-19: human behavior, pseudo-periodic solutions and multiple epidemic waves.
  Preprint: arXiv:2010.02368, 5-Oct-2020.
  URL: https://arxiv.org/abs/2010.02368
  
   
• J. Couras, I. Area, J. J. Nieto, C. J. Silva and D. F. M. Torres, Optimal control of vaccination and plasma transfusion with potential usefulness for COVID-19.
  In: Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact, Springer Nature, Singapore, 2021, 509--525.
  DOI: https://dx.doi.org/10.1007/978-981-16-2450-6_23
  
   
• H. Zine, E. M. Lotfi, M. Mahrouf, A. Boukhouima, Y. Aqachmar, K. Hattaf, D. F. M. Torres and N. Yousfi, Modeling the spread of COVID-19 pandemic in Morocco.
  In: Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact,
  Springer Nature, Singapore, 2021, 599--615.
  DOI: https://dx.doi.org/10.1007/978-981-16-2450-6_28
  
   
• H. Zine, A. Boukhouima, E. M. Lotfi, M. Mahrouf, D. F. M. Torres and N. Yousfi, A stochastic time-delayed model for the effectiveness of Moroccan COVID-19 deconfinement strategy,
  Math. Model. Nat. Phenom. 15 (2020), Art. 50, 14 pp.
  Received: 16 May 2020 / Revised: 20 August 2020 / Accepted: 28 October 2020 / Published: 11 November 2020.
  DOI: https://doi.org/10.1051/mmnp/2020040
  
   
• Ana P. Lemos-Paião, Cristiana J. Silva and Delfim F. M. Torres, A New Compartmental Epidemiological Model for COVID-19 with a Case Study of Portugal,
  Ecological Complexity 44 (2020) Art. 100885, 8 pp.
  Preprint: https://arxiv.org/abs/2011.08741
  DOI: https://doi.org/10.1016/j.ecocom.2020.100885
  
   
• M. Mahrouf, A. Boukhouima, H. Zine, E. M. Lotfi, D. F. M. Torres and N. Yousfi, Modeling and Forecasting of COVID-19 Spreading by Delayed Stochastic Differential Equations,
  Axioms 10 (2021), no. 1, Art. 18, 16 pp.
  URL: https://doi.org/10.3390/axioms10010018
  
   
• S. Bushnaq, T. Saeed, D. F. M. Torres and A. Zeb, Control of COVID-19 dynamics through a fractional-order model, Alexandria Engineering Journal 60 (2021), no. 4, 3587--3592.
  URL: http://dx.doi.org/10.1016/j.aej.2021.02.022
  
   
• P. Agarwal, J. J. Nieto, M. Ruzhansky and D. F. M. Torres, Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact,
  Infosys Science Foundation Series in Mathematical Sciences, Springer, Singapore, 2021.
  ISBN 978-981-16-2449-0 (print); ISBN 978-981-16-2450-6 (electronic);
  Series ISSN 2364-4036.
  DOI: 10.1007/978-981-16-2450-6
  URL: https://www.springer.com/gp/book/9789811624490
  
   
• F. Ndairou and D. F. M. Torres, Mathematical Analysis of a Fractional COVID-19 Model Applied to Wuhan, Spain and Portugal,
  Axioms 10 (2021), no. 3, Art. 135, 13 pp.
  URL: https://www.mdpi.com/2075-1680/10/3/135
  
   

• M. A. Zaitri, M. O. Bibi and D. F. M. Torres, Optimal Control to Limit the Spread of COVID-19 in Italy,
  Kuwait Journal of Science, Special Issue on COVID (2021), 1--14.
  URL: https://doi.org/10.48129/kjs.splcov.13961
  
   

• A. Din, A. Khan, A. Zeb, M. R. Sidi Ammi, M. Tilioua and D. F. M. Torres, Hybrid method for simulation of a fractional COVID-19 model with real case application,
  Axioms 10 (2021), no. 4, Art. 290, 17 pp.
  DOI: https://doi.org/10.3390/axioms10040290
  
   

• S. Vaz and D. F. M. Torres, A Discrete-Time Compartmental Epidemiological Model for COVID-19 with a
  Case Study for Portugal, Axioms 10 (2021), no. 4, Art. 314, 14 pp.
  URL: https://doi.org/10.3390/axioms10040314
  
   

• Z. Abreu, G. Cantin and C. J. Silva, Analysis of a COVID-19 compartmental model: a mathematical and computational approach,
  Math. Biosci. Eng. 18 (2021), no. 6, 7979--7998.
  DOI: https://doi.org/10.3934/mbe.2021396
  
   

• Silvério Rosa and Delfim F. M. Torres, Fractional Modelling and Optimal Control of COVID-19 Transmission in Portugal,
  Axioms 11 (2022), no. 4, Art. 170, 15 pp.
  DOI: https://doi.org/10.3390/axioms11040170
  
   

Books

P. Agarwal, J. J. Nieto, M. Ruzhansky and D. F. M. Torres, Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact,
Springer Nature, Singapore, 2021
URL: http://dx.doi.org/10.1007/978-981-16-2450-6

 

News

• A investigadora do CIDMA Cristiana J. Silva obteve financiamento para um projecto no âmbito da linha de financiamento “RESEARCH 4 COVID-19” da FCT
• Projeto de investigadores da Universidade de Santiago de Compostela, da Universidade de Vigo, do CIDMA-UA e do Centro Nacional de Biotecnología – CSIC financiado pelo Governo de Espanha.
• Felipe Freitas, investigador do CIDMA, participa no projeto "Inteligência Artificial para acelerar a triagem de pacientes com COVID-19"