episomer
Early Detection of Public Health Threats from Social Media Data
It allows you to automatically monitor trends of social media messages by time, place and topic aiming at detecting public health threats early through the detection of signals (i.e., an unusual increase in the number of messages per time, topic and location). 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 on the original package 'epitweetr' is available in the peer-review publication Espinosa et al. (2022) <doi:10.2807/1560-7917.ES.2022.27.39.2200177>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.0.34 |
rolling source/ R- | episomer_3.0.34.tar.gz |
3.1 MiB |
3.0.34 |
latest source/ R- | episomer_3.0.34.tar.gz |
3.1 MiB |
3.0.34 |
2026-04-23 source/ R- | episomer_3.0.34.tar.gz |
3.1 MiB |
3.0.32 |
2026-04-09 windows/windows R-4.5 | episomer_3.0.32.zip |
3.4 MiB |