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
Documentation
- Examples that run
- 3%
- Documented parameters
- 92%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
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2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/eu-ecdc/episomer on 2026-07-30.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
Show 3 more contributors
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 3.0.35Latest
- RR 4.6.0 released · 2026-04-24
- 3.0.342026-04-20 · diff ↗
- 3.0.322026-03-18
- RR 4.5.0 released · 2025-04-11
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