Welcome on Periodic
Purpose
- This website aims to provide some epidemic period detection & burden estimation online tools from the works of the French Sentinelles network's research team
- This is an enhanced version of "Periodic Regression" website described in Pelat C et al, BMC MIDM,2007
What is new ?
- A new website design
- New algorithms available : Hidden Markov model (in test)
Features
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- Manage your datasets
- View example datasets, add you own data !
- Periodic Regression Algorithmready
- Periodic regression models are used to estimate an expected baseline level for the time series, associated with a prediction interval. They can extract the dates of epidemics and estimate the related morbidity/mortality burden. They can also forecast alert thresholds to perform real time surveillance of diseases.
- Hidden Markov Model Algorithmbeta
- HMM is a non parametric algorithm used to determine epidemics periods
Dataset managements Detection Methods
How it works
- Most of data processing are done using the wonderfullR Software