episomer
3.0.35Early Detection of Public Health Threats from Social Media Data
Overview
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>.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-195 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code
Code & tests
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Functions
286 44 exported
Complexity
4.7 avg / 94 max
Call network
286 nodes / 494 edges
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People & History
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3 releases. Pick two to compare their code metrics; R releases are shown for context.
- 3.0.35Latest2026-05-08 · current release
- RR 4.6.0 released · 2026-04-24
- 3.0.342026-04-20 · diff ↗
- 3.0.322026-03-18
Package metadata
- First published
- 2026-03-18
- Total releases
- 3 / 1 yrs
- License
- EUPL
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet