Package 'epitweetr'
| Title: |
Early Detection of Public Health Threats from 'Twitter' Data |
| Description: |
It allows you to automatically monitor trends of tweets by
time, place and topic aiming at detecting public health threats
early through the detection of signals (e.g. an unusual
increase in the number of tweets). It was designed to focus on
infectious diseases, and it can be extended to all hazards or
other fields of study by modifying the topics and keywords.
More information is available in the 'epitweetr' peer-review
publication (doi:10.2807/1560-7917.ES.2022.27.39.2200177). |
| Authors: |
Laura Espinosa [aut, fnd, cre]
(<https://orcid.org/0000-0003-0748-9657>, Project manager, author
of the design and concept of the package, and package maintainer),
Francisco Orchard [aut, ctr] (<https://orcid.org/0000-0001-5793-3301>,
Author of the package and original code),
Ariana Wijermans [ctb] (Contributor to the design and concept of the
package),
Thomas Mollet [ctb, fnd] (Business owner of the project, and
contributor to the design and concept of the package),
Adrian Prodan [ctb],
Thomas Czernichow [ctb],
Maria Prieto Gonzalez [ctb],
Esther Kissling [ctb],
Michael Höhle [ctb] |
| Maintainer: |
Laura Espinosa <[email protected]> |
| License: |
EUPL |
| Version: |
2.2.16 |
| Built: |
2024-10-10 06:01:13 UTC |
| Source: |
https://github.com/EU-ECDC/epitweetr |
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