Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels
aedseo: Automated and Early Detection of Seasonal Epidemic Onset and B...
Deprecated aedseo function
Autoplot a tsd object
Compute seasonal onset and burden levels from seasonal time series obs...
Create a tsd_growth_warning object to count consecutive significant ob...
Determine Epidemiological Season
Fit a growth rate model to time series observations.
Fits weighted observations to distribution and returns percentiles
Generate Simulated Data of Seasonal Waves as a tsd object
Summarises estimates like seasonal peak and onset from all available s...
Create a complete 'ggplot' appropriate to a particular data type
Predict Observations for Future Time Steps
Compute burden levels from seasonal time series observations of curren...
Automated and Early Detection of Seasonal Epidemic Onset
Summary method for tsd_burden_levels objects
Summary method for tsd_onset objects
Create a tibble-like tsd (time-series data) object from observed dat...
Deprecated tsd function
A powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates across consecutive time intervals, calculate the sum of cases (SoC) within those intervals, and estimate seasonal onsets within user defined seasons. With use of a disease-specific threshold it also offers the possibility to estimate seasonal onset of epidemics. Additionally it offers the ability to estimate burden levels for seasons based on historical data. It is aimed towards epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion.
Useful links