epitweetr: R-based automated open-source tool for early detection of public health threats from Twitter
On 1 October 2020, ECDC launched epitweetr, a free, open source interactive tool for early detection of public health threats using Twitter data.
epitweetr allows users to automatically monitor trends of tweets by time, place and topic, with the aim of detecting public health threats early through signals (i.e. an unusual increase in the number of tweets). It was designed to support public health experts with the early detection of threats from infectious diseases but can be extended to all hazards and other fields of study by modifying the topics and keywords.
To make epitweetr as widely available as possible, R was chosen as the computing platform. R is free, open source, and runs on any modern operating system.
This hands-on session aims at having an understanding of the usage and functionalities of epitweetr for early detection of public health threats using Twitter data.
For more information please click here.
See the programme here.
Date: 24 November 2020
Time: 12:00- 15.00 CET
Type: Limited places available. Interested to participate? Please contact Laura Espinosa at firstname.lastname@example.org with a short summary of your motivation for participating, your professional background and your current affiliation.