Modelling and optimal control of multi strain epidemics, with application to COVID-19

• Edilson F. Arruda ,

  Contributed equally to this work with: Edilson F. Arruda, Shyam S. Das, Claudia M. Dias, Dayse H. Pastore

  Roles Conceptualization, Methodology, Software, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: e.f.arruda@southampton.ac.uk

  Affiliation Department of Decision Analytics and Risk, Southampton Business School, University of Southampton, Southampton, United Kingdom

  https://orcid.org/0000-0002-9835-352X

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• Shyam S. Das ,

  Contributed equally to this work with: Edilson F. Arruda, Shyam S. Das, Claudia M. Dias, Dayse H. Pastore

  Roles Conceptualization, Writing – original draft

  Affiliation Graduate Program in Mathematical and Computational Modeling, Multidisciplinary Institute, Federal Rural University of Rio de Janeiro, Nova Iguaçu RJ, Brazil

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• Claudia M. Dias ,

  Contributed equally to this work with: Edilson F. Arruda, Shyam S. Das, Claudia M. Dias, Dayse H. Pastore

  Roles Methodology, Writing – original draft, Writing – review & editing

  Affiliation Graduate Program in Mathematical and Computational Modeling, Multidisciplinary Institute, Federal Rural University of Rio de Janeiro, Nova Iguaçu RJ, Brazil

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• Dayse H. Pastore

  Contributed equally to this work with: Edilson F. Arruda, Shyam S. Das, Claudia M. Dias, Dayse H. Pastore

  Roles Conceptualization, Methodology, Validation, Writing – original draft

  Affiliation Department of Basic and General Disciplines, Federal Center for Technological Education Celso Suckow da Fonseca, Rio de Janeiro, Rio de Janeiro, Brazil

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