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Stochastic modeling of empirical time series of childhood infectious diseases data before and after mass vaccination
The goal of this paper is to analyze the stochastic dynamics of childhood infectious disease time series. We present an univariate time series analysis of pertussis, mumps, measles and rubella based on Box-Jenkins or AutoRegressive Integrated Moving Average (ARIMA) modeling. The method, which enable...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1584232/ https://www.ncbi.nlm.nih.gov/pubmed/16895599 http://dx.doi.org/10.1186/1742-7622-3-9 |