PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2009 | 29 | 2 | 169-183
Tytuł artykułu

Addressing the problem of lack of representativeness on syndromic surveillance schemes

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A major concern with some contagious diseases has recently led to an enormous effort to monitor population health status by several different means.
This work presents a modeling approach to overcome this poor data characteristic, allowing its use for the estimation of the true population disease picture. We use a state space model, where we run two processes in parallel - a process describing the non observable states of the population concerning the presence/absence of disease, and an observational process resulting from the monitoring.
We then use resampling importance sampling estimation techniques, in a Bayesian framework, which enables us to estimate the population states and, thus, the corresponding disease incidence curves.
Twórcy
  • CEAUL; Departamento de Matemática, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
  • CEAUL; Departamento de Estatística e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa, Portugal>
Bibliografia
  • [1] D.L. Cooper, G.E. Smith, M. Regan, S. Large and P.P. Groenewegen, Tracking the spatial diffusion on influenza and norovirus using telehealth data: a spatiotemporal analysis of syndromic data, BMC Medicine (2008) 6:16. doi:10.1186/1741-7015-6-16.
  • [2] M.J. O'Connor, D. Buckeridge, M.K. Choy, M. Crubezy, Z. Pincus and M.A. Musen, BioSTORM: A System for Automated Surveillance of Diverse Data Sources, AMIA Annual Symposium Proceedings 2003.
  • [3] B.Y. Reis, C. Kirby, L.E. Hadden, K. Olson, A.J. McMurry, J.B. Daniel and K.D. Mandl, AEGIS: A robust and scalable real-time public health surveillance system, Journal of the American Medical Informatics Association 14 (2007), 581-588.
  • [4] J. Lombardo, H. Burkom, E. Elbert, S. Magruder, S.H. Lewis, W. Loschen, J. Sari, C. Sniegoski, R. Wojcik and J. Pavlin, A Systems Overview of the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE II), J Urban Health 80 (2 Suppl 1) (2003), i32-i42.
  • [5] J.S. Brownstein, C.C. Freifeld, B.Y. Reis and K.D. Mandl, Surveillance Sans Frontières: Internet-Based Emerging Infectious Disease Intelligence and the HealthMap Project, PLoS Med 5 (7) (2008), e151.
  • [6] S.P. van Noort, M. Muehlen, H. Rebelo de Andrade, C. Koppeschaar, J.M. Lima Lourenço and M.G. Gomes, Gripenet: an internet-based system to monitor influenza-like illness uniformly across Europe, Euro Surveill. 12 (7) (2007), pii=722.
  • [7] M.A. Stoto, M. Schonlau and L.T. Mariano, Syndromic surveillance: it is worth the effort?, Chance 17 (2004), 19-24.
  • [8] S.T. Buckland, K.B. Newman, L. Thomas and N.B. Koesters, State-space models for the dynamics of wild animal populations, Ecological Modeling 171 (2004), 157-175.
  • [9] L. Thomas, S.T. Buckland, K.B. Newman and J. Harwood, A unified framework for modelling wild population dynamics, Australian New Zealand Journal Statistics 47 (2005), 19-34.
  • [10] K.B. Newman, S.T. Buckland, S.T. Lindley, L. Thomas and C. Fernández, Hidden process models for animal population dynamics, Ecological Applications 16 (2006), 74-86.
  • [11] J. Durbin and S.J. Koopman, Time Series Analysis by State Space Methods, Oxford University Press 2001.
  • [12] H. Caswell, Matrix Population Models - 2nd Edition, Sinauer Associates, Inc. Publishers 2001.
  • [13] M. West and J. Harrison, Bayesian forecasting and dynamic models - 2nd edition. Springer 1997.
  • [14] A. Doucet and A.M. Johansen, A Tutorial on Particle Filtering and Smoothing: Fifteen years Later, In Handbook of Nonlinear Filtering, eds D. Crisan, B. Rozovsky, Oxford University Press 2009.
  • [15] J. Liu and M. West, Combining parameter and state estimation in simulation-based filtering, In sequential Monte Carlo Methods in Practice, eds A Doucet, N Freitas, N Gordon, New-York: Springer-Verlag 2001.
  • [16] Departamento de Epidemiologia do INSA, Gripe 2007 - um estudo sobre comportamentos face à 'gripe' - relatório, Instituto Nacional de Saúde Dr. Ricardo Jorge 2007.
  • [17] Departamento de Epidemiologia do INSA, Médicos Sentinela, o que se fez em 2007 - relatório de actividades 21, Instituto Nacional de Saúde Dr. Ricardo Jorge 2009.
  • [18] http://www.gripenet.pt/
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1113
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.