EVI: Stata module to compute Epidemic Volatility Index (EVI) for detecting epidemic waves

Luis Furuya-Kanamori (l.furuya@uq.edu.au) and Polychronis Kostoulas (pkost@uth.gr)
Additional contact information
Luis Furuya-Kanamori: University of Queensland
Polychronis Kostoulas: University of Thessaly

Statistical Software Components from Boston College Department of Economics

Abstract: evi is based on the volatility of the newly reported cases per unit of time (ideally per day) and issues an early warning when the rate of the volatility change exceeds a threshold ('c'). Issuance of consecutive early warnings is a strong indication of an upcoming epidemic wave. EVI is calculated for a rolling window of time series epidemic data ('lag'). At each step, the observations within the window are obtained by shifting the window forward over the time series data one observation at a time. The user should provide the minimum rise in mean cases between two consecutive weeks ('r') that, if present, should be detected.

Language: Stata
Requires: Stata version 14
Keywords: time series; epidemic; waves; volatility (search for similar items in EconPapers)
Date: 2021-10-14
Note: This module should be installed from within Stata by typing "ssc install evi". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/e/evi.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/e/evi.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/e/evi_example_data.dta sample data file (application/x-stata)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459005

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum (baum@bc.edu).