Cite new manuscript in readme and add original code attribution similar to the first tagged release.
Possible tagged release re-wording with updates:
TreeScan™ v2.4 for use by public health officials across the US primarily with ESSENCE-based ED data on ICD-10 codes to detect deviations from a 90 day baseline period. Goal is to strengthen capacity to detect health issues not captured by syndromic surveillance for the US 2026 World Cup. Initial analytic pipeline including R code and supporting files from the NYC Health Dept.'s manuscript (Greene SK, Levin-Rector A, Kulldorff M, and Lall R). The authors' advice has allowed for the code expansion by Nyall Jamieson and Emily Javan within epiENGAGE at UT Austin.
Cite new manuscript in readme and add original code attribution similar to the first tagged release.
Possible tagged release re-wording with updates:
TreeScan™ v2.4 for use by public health officials across the US primarily with ESSENCE-based ED data on ICD-10 codes to detect deviations from a 90 day baseline period. Goal is to strengthen capacity to detect health issues not captured by syndromic surveillance for the US 2026 World Cup. Initial analytic pipeline including R code and supporting files from the NYC Health Dept.'s manuscript (Greene SK, Levin-Rector A, Kulldorff M, and Lall R). The authors' advice has allowed for the code expansion by Nyall Jamieson and Emily Javan within epiENGAGE at UT Austin.