mova

Calculates the moving average for a time series.

This is an R package implementing the epidemic volatility index (EVI), as
discussed by Kostoulas et. al. (2021) and variations by Pateras et. al. (2023). EVI is a new, conceptually simple, early warning tool for oncoming epidemic waves.
EVI is based on the volatility of newly reported cases per unit of time,
ideally per day, and issues an early warning when the volatility change rate exceeds a threshold.

Konstantinos Pateras  with contributions from Larisa Kosidou

Epidemic Volatility Index as an Early-Warning Tool

Eletherios Meletis

Konstantinos Pateras

Paolo Eusebi

Matt Denwood

Polychronis Kostoulas

mova function

<dl><dt>cases</dt>
<dd>the time series of the newly observed cases per unit of time (ideally per day).</dd>
<dt>r_a</dt>
<dd>The window size for the moving average that will be analyzed. If set to 1 the actual observations are analyzed. However, due to the variability of the reported cases between working days and weekends it is recommended that the 7-day moving average is analyzed (i.e. r_a = 7), which is the default for this argument. Users could prefer a longer interval of 14 days or one month (i.e., r_a=14 or 30, respectively).</dd></dl>

Arguments

Function that calculates the moving average of a time series — mova

<dl>

<dt>cases</dt>
<dd>the time series of the newly observed cases per unit of time (ideally per day).</dd>


<dt>r_a</dt>
<dd>The window size for the moving average that will be analyzed. If set to 1 the actual observations are analyzed. However, due to the variability of the reported cases between working days and weekends it is recommended that the 7-day moving average is analyzed (i.e. r_a = 7), which is the default for this argument. Users could prefer a longer interval of 14 days or one month (i.e., r_a=14 or 30, respectively).</dd>

</dl>

mova: Function that calculates the moving average of a time series

Description

Usage

Arguments

Examples