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

 

Publications

• 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.
  Preprint: arXiv:2009.00660, 1-Sep-2020.
  URL: https://arxiv.org/abs/2009.00660
  
   
• 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.
  To appear in: Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact, Springer Nature Singapore Pte Ltd, in press.
  Preprint: arXiv:2010.04146, 8-Oct-2020.
  URL: https://arxiv.org/abs/2010.04146
  
   
• 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.
  To appear in: Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact,
  Springer Nature Singapore Pte Ltd, in press.
  Preprint: arXiv:2010.04115, 8-Oct-2020.
  URL: https://arxiv.org/abs/2010.04115
   
• 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

 

 

Call for contributions

• https://www.researchgate.net/project/Springer-Publisher-Book-on-Recent-Developments-in-the-Mathematical-Modelling-and-Analysis-of-Infectious-Disease-Problems-COVID-19
  
   
• "Modeling the dynamics of the COVID-19 epidemic and implementation of intervention strategies" in Frontiers in Applied Mathematics and Statistics
  https://www.frontiersin.org/research-topics/17503/modeling-the-dynamics-of-the-covid-19-epidemic-and-implementation-of-intervention-strategies
  
  
   

 

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"