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Maíra Aguiar

Group Leader

_Anonymus

T +34 946 567 842
F +34 946 567 843
E maguiar@bcamath.org

Information of interest

  • Critical fluctuations in epidemic models explain COVID‑19 post‑lockdown dynamics 

    Aguiar, M.Autoridad BCAM; BidaurrazagaVan‑Dierdonc, J.; Mar, J.; Cusimano, N.Autoridad BCAM; Knopoff, D.A.Autoridad BCAM; Anam, V.Autoridad BCAM; Stollenwerk, N.Autoridad BCAM (2021-07-06)
    As the COVID-19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological dynamics of disease spreading. The momentary reproduction ratio r(t) of an ...
  • The effect of mixed vaccination rollout strategy: A modelling study 

    Stollenwerk, N.Autoridad BCAM; Estadilla, C. D. S.; Mar, J.; Bidaurrazaga Van-Dierdonck, J.; Ibarrondo, O.; Blasco-Aguado, R.; Aguiar, M.Autoridad BCAM (2023-03-10)
    Vaccines have measurable efficacy obtained first from vaccine trials. However, vaccine efficacy (VE) is not a static measure and long-term population studies are needed to evaluate its performance and impact. COVID-19 ...
  • Ethics of a partially effective dengue vaccine: Lessons from the Philippines 

    Halstead, B.S.; Katzelnick, L.C.; Russell, P.K.; Markoff, L.; Aguiar, M.Autoridad BCAM; Dans, L.R.; Dans A , L. (2020-07)
    Dengvaxia, a chimeric yellow fever tetravalent dengue vaccine developed by SanofiPasteur is widely licensed in dengue-endemic countries. In a large cohort study Dengvaxia was found to partially protect children who had ...
  • Mathematical models for dengue fever epidemiology: a 10-year systematic review 

    Aguiar, M.Autoridad BCAM; Anam, V.Autoridad BCAM; Blyuss, K.; Estadilla, C. D. S.; Guerrero, B.; Knopoff, D.A.Autoridad BCAM; Kooi, B. W.; Srivastav, A. K.; Steindorf, V.Autoridad BCAM; Stollenwerk, N.Autoridad BCAM (2022-02-15)
    Mathematical models have a long history in epidemiological research, and as the COVID-19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological ...
  • Modeling COVID-19: Challenges and results 

    Aguiar, M.Autoridad BCAM (2020-10)
    Weird times we are living in. While lots of technological, medical and scientific advances are generated in a short period of time, we are now fighting a pandemic, trying to stop the spread of a new virus that has not only ...
  • Modeling dengue immune responses mediated by antibodies: A qualitative study 

    Sebayang, A.A.; Fahlena, H.; Anam, V.Autoridad BCAM; Knopoff, D.A.Autoridad BCAM; Stollenwerk, N.Autoridad BCAM; Aguiar, M.Autoridad BCAM; Soewono, E. (2021-09-01)
    Dengue fever is a viral mosquito-borne infection and a major international public health concern. With 2.5 billion people at risk of acquiring the infection around the world, disease severity is influenced by the immunological ...
  • Optimal vaccine allocation for the control of sexually transmitted infections 

    Saldaña, F.Autoridad BCAM; Steindorf, V.Autoridad BCAM; Srivastav, A.K.Autoridad BCAM; Stollenwerk, N.Autoridad BCAM; Aguiar, M.Autoridad BCAM (2023-04-15)
    The burden of sexually transmitted infections (STIs) poses a challenge due to its large negative impact on sexual and reproductive health worldwide. Besides simple prevention measures and available treatment efforts, ...
  • Reproduction ratio and growth rates: Measures for an unfolding pandemic 

    Aguiar, M.Autoridad BCAM; Bidaurrazaga Van-Dierdonck, J.; Stollenwerk, N.Autoridad BCAM (2020-05)
    The initial exponential growth rate of an epidemic is an important measure that follows directly from data at hand, commonly used to infer the basic reproduction number. As the growth rates λ(t) of tested positive COVID-19 ...
  • Understanding COVID-19 Epidemics: A Multi-Scale Modeling Approach 

    Aguiar, M.Autoridad BCAM; Anam, V.Autoridad BCAM; Cusimano, N.Autoridad BCAM; Knopoff, D.A.Autoridad BCAM; Stollenwerk, N.Autoridad BCAM (2022-02-18)
    COVID-19 was declared a pandemic by the World Health Organization in March 2020 and, since then, research on mathematical modeling became imperative and very influential to understand the epidemiological dynamics of disease ...

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