covidTool
A simple tool to forecast COVID-19 epidemiology worldwide
Dynamics Training Lab, Department of Mathematics and Statistics, University of Guelph
A simple tool to forecast COVID-19 epidemiology worldwide
Dynamics Training Lab, Department of Mathematics and Statistics, University of Guelph
Key features:
covidTool is a public front end for a set of tools developed by the Dynamics Training Lab, Department of Mathematics and Statistics, University of Guelph.
The app provides a forecast of daily incidence of new COVID-19 cases up to 6 weeks into the future, for most countries and many states/provinces.
Past forecasts can be compared to reality. For example, you can select August 1, 2020 as the forecast start date and compare the 6-week forecast from that date forward, to how those weeks actually played out.
The tool "learns" from the past to estimate the uncertainty in the forecast.
CAUTION: covidTool is beta software under active development. There is a very good chance you will encounter bugs or unexpected behavior.
News:
June 29, 2021: covidTool has been updated to v1.1beta. This version adds a new tab, "Overview", which displays a searchable, sortable and filterable table that gives a snapshot of cumulative cases, incidence and reproduction number across all regions at the selected forecast start date. This makes it easy to immediately see where, for example, cases are currently growing the fastest, and then inspect that region in detail using the "Forecast" tab.
Direct link (opens in bigger window): ethommes.shinyapps.io/covidTool/
A description of how covidTool works can be found here