Tracking Measles Infection through Non-Linear State Space Models
- 31 October 2011
- journal article
- research article
- Published by Oxford University Press (OUP) in Journal of the Royal Statistical Society Series C: Applied Statistics
- Vol. 61 (1) , 117-134
- https://doi.org/10.1111/j.1467-9876.2011.01001.x
Abstract
No abstract availableKeywords
Funding Information
- World Health Organization
- National Center for Ecological Analysis and Synthesis
- National Science Foundation (DEB-0553768)
This publication has 18 references indexed in Scilit:
- Field Effectiveness of Live Attenuated Measles-Containing Vaccines: A Review of Published LiteratureThe Journal of Infectious Diseases, 2011
- Seasonality and comparative dynamics of six childhood infections in pre-vaccination CopenhagenProceedings Of The Royal Society B-Biological Sciences, 2009
- Time series analysis via mechanistic modelsThe Annals of Applied Statistics, 2009
- Estimating the impact of school closure on influenza transmission from Sentinel dataNature, 2008
- The dynamics of measles in sub-Saharan AfricaNature, 2008
- A new global framework for immunization monitoring and surveillancePublished by WHO Press ,2007
- Inference for nonlinear dynamical systemsProceedings of the National Academy of Sciences, 2006
- The Global Burden of Measles in the Year 2000—A Model that Uses Country‐Specific IndicatorsThe Journal of Infectious Diseases, 2003
- How should pathogen transmission be modelled?Published by Elsevier ,2001
- A Limited Memory Algorithm for Bound Constrained OptimizationSIAM Journal on Scientific Computing, 1995