Biomathematics and Statistics Working Group
                            Centro de Matemática, Aplicações Fundamentais
                        e Investigação Operacional (CMAF-CIO)
                        Science Faculty, Lisbon University

       
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      Maíra Aguiar, Filipe Rocha, José Eduardo Marques Pessanha, Luis Mateus & Nico Stollenwerk (2015). Carnival or football, is there a real risk for acquiring dengue fever in Brazil during holidays seasons? Nature Scientific Reports; 5:8462. DOI

      Aguiar, M., Paul, R., Sakuntabhai, A., & Stollenwerk, N. (2014). Are we modeling the correct data set? Minimizing false predictions for dengue fever in Thailand. Epidemiology and Infection; 142:2447-59.
      DOI

      Kooi W. B., Aguiar, M., & Stollenwerk, N. (2014). Analysis of an asymmetric two-strain dengue model. Mathematical Biosciences; 248:128-139.
      DOI

      Rocha, F., Aguiar, M., Souza, M. and Stollenwerk, N. (2013). Time scale separation and center manifold analysis describing vector borne diseases dynamics. Int. J. Computer Mathematics; 90:2105-2125.
      DOI

      Aguiar, M., Kooi, W. B., Rocha, F., Ghaffari, P. and Stollenwerk, N. (2013). How much complexity is needed to describe the fluctuations observed in dengue hemorrhagic fever incidence data? Ecological Complexity; 16: 31-40.
      DOI

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