epitweetr
Early Detection of Public Health Threats from 'Twitter' Data
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).
- Version2.2.16
- R versionunknown
- LicenseEUPL
- Needs compilation?No
- Last release11/15/2023
Documentation
Team
Laura Espinosa
Francisco Orchard
Ariana Wijermans
Show author detailsRolesContributorThomas Mollet
Show author detailsRolesContributor, fndAdrian Prodan
Show author detailsRolesContributorThomas Czernichow
Show author detailsRolesContributorMaria Prieto Gonzalez
Show author detailsRolesContributorEsther Kissling
Show author detailsRolesContributorMichael Höhle
Show author detailsRolesContributor
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- Imports38 packages
- Suggests1 package