Alerts from Public Health Surveillance Data
Overview
Helps create alerts and determine trends by using various methods to analyze public health surveillance data. The primary analysis method is based upon a published analytics strategy by Benedetti (2019) doi:10.5588/pha.19.0002.
- Inclusion of short_term_trend_sts_v1.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 9
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 57%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- Short term trend HTML
Downloads
Repository
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/csids/csalert on 2026-10-21.
GitHub Pages site last deployed 2025-12-23
Dependencies
Installing csalert adds 39 packages (21 with compiled code, 47 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 2024.6.24Latest2024-06-24 · current release · diff ↗ ·
added 6 exports
add_holiday_effect, short_term_trend_sts_v1, signal_detection_hlm, simulate_baseline_data, simulate_seasonal_outbreak_data, simulate_spike_outbreak_data - RR 4.4.0 released · 2024-04-24
- 2023.6.172023-06-15
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-06-15
- Total releases
- 2 / 3 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.3.0
- Download size
- 131 KB
Cite
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Run in R for the authors' preferred citation:
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