starling
Link Infectious Disease Cases to Vaccination and Hospitalization Records
Facilitates probabilistic record linkage between infectious disease surveillance datasets (notifiable disease registers, outbreak line-lists), vaccination registries, and hospitalization records using methods based on Fellegi and Sunter (1969) <doi:10.1080/01621459.1969.10501049> and Sayers et al. (2016) <doi:10.1093/ije/dyv322>. The package provides core functions for data preparation, linkage, and analysis: clean_the_nest() standardizes variable names and formats across heterogeneous datasets; murmuration() performs machine learning-based record linkage using blocking variables and similarity metrics; molting() deidentifies datasets for secure sharing; homing() re-identifies previously deidentified datasets; plumage() identifies and categorizes comorbidities; and preening() creates analysis-ready variables including age categories and temporal groupings. Designed for epidemiological research linking acute and post-acute disease outcomes to vaccination status and healthcare utilization. Supports multiple linkage scenarios including case-to-vaccination, case-to-hospitalization, and event-based vaccination status determination (e.g., outbreak attendees, flight passengers, exposure site visitors).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.6.5 |
rolling linux/jammy R-4.5 | starling_0.6.5.tar.gz |
147.4 KiB |
0.6.5 |
rolling linux/noble R-4.5 | starling_0.6.5.tar.gz |
147.4 KiB |
0.6.5 |
rolling source/ R- | starling_0.6.5.tar.gz |
63.3 KiB |
0.6.5 |
latest linux/jammy R-4.5 | starling_0.6.5.tar.gz |
147.4 KiB |
0.6.5 |
latest linux/noble R-4.5 | starling_0.6.5.tar.gz |
147.4 KiB |
0.6.5 |
latest source/ R- | starling_0.6.5.tar.gz |
63.3 KiB |
0.6.5 |
2026-04-26 source/ R- | starling_0.6.5.tar.gz |
63.3 KiB |
0.6.5 |
2026-04-23 source/ R- | starling_0.6.5.tar.gz |
63.3 KiB |
0.6.5 |
2026-04-09 windows/windows R-4.5 | starling_0.6.5.zip |
151.4 KiB |