Optimal Outbreak Alert Thresholds for Measles Under High Noise Conditions

A 616-byte CSV file by Callum R. K. Arnold, last updated on 2026-04-29. It contains simulated optimal outbreak alert thresholds for measles surveillance, calculated for scenarios where daily noise incidence is seven times the average daily measles incidence. The thresholds are derived for both imperfect and perfect diagnostic tests under dynamic and static noise structures.

Use Cases

• Calibrating outbreak detection systems based on simulated optimal thresholds for imperfect tests.
• Comparing the performance of diagnostic tests with 85% or 90% sensitivity/specificity in outbreak detection.
• Analyzing the impact of dynamic versus static background noise structures on alert accuracy.

Strengths

• File size is precisely 616.0 bytes, indicating a compact and focused dataset.
• The simulation parameters are explicitly defined, including a noise incidence multiplier of 7x and test performance values of 85% and 90%.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• The dataset is a small simulation result; its direct applicability to real-world surveillance may be limited.

Provenance

Source

Callum R. K. Arnold via figshare.

Collection Method

Likely generated via computational simulation modeling outbreak detection accuracy.

Freshness

Last updated 2026-04-29 17:51:21.