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- Title
Data--model, fusion to better understand emerging pathogens and improve infectious disease forecasting.
- Authors
LADEAU, SHANNON L.; GLASS, GREGORY E.; HOBBS, N. THOMPSON; LATIMER, ANDREW; OSTFELD, RICHARD S.
- Abstract
The article discusses the framework of data-model fusion in infectious disease research using a hierarchical state-space structure to understand emerging pathogens and improve infectious disease forecasting. It mentions that the fusion will integrate multiple data sources and spatial scales to inform latent parameters and partition uncertainty in process and observation models. It also notes that the fusion aims to build upon existing ecological and epidemiological understanding.
- Subjects
DATA analysis; HIERARCHICAL Bayes model; STATE-space methods; COMMUNICABLE diseases; PATHOGENIC microorganisms
- Publication
Ecological Applications, 2011, Vol 21, Issue 5, p1443
- ISSN
1051-0761
- Publication type
Article
- DOI
10.1890/09-1409.1