Amanda Fernández-Fontelo

Investigador pre-doctoral

  • Moriña, D.; Fernández-Fontelo, A.; Cabaña, A.; Puig, P.; Monfil, L.; Brotons, M.; Diaz, M. (2021)
    Quantifying the under-reporting of uncorrelated longitudal data: the genital warts example
    BMC Medical Research Methodology, volume 21, Article number: 6
  • Fernández-Fontelo, A.; Moriña, D.; Cabaña, A.; Arratia, A.; Puig, P. (2020)
    Estimating the real burden of disease under a pandemic situation: The SARS-CoV2 case
    PLoS ONE, 15(12): e0242956
  • Fernández-Fontelo, A.; Puig, P.; Caceres, G.; Romero, L.; Revie, C.; Sanchez, J.; Dorea, F.C.; Alba-Casals, A. (2020)
    Enhancing the monitoring of fallen stock at different hierarchical administrative levels: an illustration on dairy cattle from regions with distinct husbandry, demographical and climate traits
    BMC Veterinary Research, 16, 110, 1-13
    DOI: https://doi.org/10.1186/s12917-020-02312-8
  • Alkhamis, MA; Fernández-Fontelo, A.; VanderWaal, K.; Abuhadida, S.; Puig, P.; Alba-Casals, A. (2019)
    Temporal dynamics of Middle East respiratory syndrome coronavirus in the Arabian Peninsula, 2012–2017
    Epidemiology & Infection, 147, p. 1-10
    DOI: https://doi.org/10.1017/S0950268818002728
  • Fernández‐Fontelo, A.; Cabaña, A.; Joe, H.; Puig, P.; Moriña, D. (2019)
    Untangling serially dependent underreported count data for gender‐based violence
    Statistics in medicine, 38:22, p. 4404-4422
    DOI: https://doi.org/10.1002/sim.8306
  • Fernández-Fontelo, A.; Puig, P.; Ainsbury, E.A.; Higueras, M. (2018)
    An exact goodness-of-fit test based on the occupancy problems to study zero-inflation and zero-deflation in biological dosimetry data
    Radiation protection dosimetry, 179:4, p. 317-326
    DOI: https://doi.org/10.1093/rpd/ncx285
  • Fernández-Fontelo, S. Fontdecaba, A. Alba and P. Puig (2017)
    Integer-valued AR processes with Hermite innovations and time-varying parameters: An application to bovine fallen stock surveillance at a local scale
    Statistical Modelling, 17(3), p. 172-195.
    DOI: 10.1177/1471082X16683113.
  • Fernández-Fontelo, A., Puig, P. and Alba, A. (2017)
    Applying INAR-Hidden Markov Chains in the Analysis of Under-Reported Data.
    Extended Abstracts Fall 2015, 29-34
  • A. Fernández, A. Cabaña, P.Puig, D. Moriña (2016)
    Under-reported data analysis with INAR-hidden Markov chains
    Extended Abstracts Fall 2015. Trends in Mathematics() vol 7, Birkhäuser, Cham.
    DOI: https://doi.org/10.1007/978-3-319-55639-0_5
  • A. Fernández-Fontelo, A. Cabaña, P. Puig and D. Moriña (2016)
    Under-reported data analysis with INAR-hidden Markov chains
    Statistics in Medicine, 35(26), p. 4875-4890.
    DOI: 10.1002/sim.7026.
  • Fernández-Fontelo, A., Puig, P. and Alba, A. (2015)
    Generalized INAR models with trend and seasonality for veterinary syndromic surveillance.
    Proceedings of the 30th International Workshop on Statistical Modeling, Volume 1: 163-168.
  • Alba-Casals, A., Fernández-Fontelo, A., Revie, C. W., Dorea, F., Sánchez, J., Romero, L., Cáceres, G., Pérez, A. and Puig, P. (2015).
    Development of new strategies to model bovine fallen stock data from large and small subpopulations for syndromic surveillance use
    Epidemiologie et Sante Animale, 67: 67-76.