cEVI_fun: Calculation of the convergence Epidemic Volatility Index

In ku-awdc/EVI: Epidemic Volatility Index as an Early-Warning Tool

Calculation of the convergence Epidemic Volatility Index

Description

This sencondary function produces the convergence Epidemic Volatility Index based on input data.

Usage

cEVI_fun(cases, lag_n, c_n)

Arguments

cases	the time series of the newly observed cases per unit of time (ideally per day).
lag_n	Integer. Restriction of the window size for the rolling window size.
c_n	threshold alpha-level value (0 <= c <= 0.5) for issuing an early warning. If cevi <= c_n an early warning is issued and otherwise is not. For each time point the stored variables are:

Value

• Dates: the date for each time point (with origin 01-01-1970).

• Days: the serial number for each time point.

• EVI: the estimated EVI for each time point.

References

Pateras K, Meletis E, Denwood M, et al. The convergence epidemic index (cEVI) an early warning tool for identifying waves in an epidemic. Inf Dis Mod, (2023)

Examples

cEVI_fun(cases=c(0,0,1,3,4,10,40,90,105,160,210,301,510,670,680,650,670,665),lag_n=3,c_n=0.1)

ku-awdc/EVI documentation built on Dec. 7, 2023, 12:27 a.m.