Reproducibility package: Hepatitis A in the Republic of Korea, 2011–2024 — trend, periodicity, age shift and spatial autocorrelation in 14 years of nationwide surveillance

This Zenodo deposit is the reproducibility package accompanying: Lee G and Kim S. Hepatitis A in the Republic of Korea, 2011–2024: trend, periodicity, age shift and spatial autocorrelation in 14 years of nationwide surveillance. Submitted to Pathogens and Global Health (Taylor & Francis), R2 revision. Contents:- /tables/ — 21 source CSVs underlying main Tables 1–4 and Supplementary Tables S1–S8 (annual rates, breakpoint bootstrap, sex-age strata, LISA, wavelet stability, 22 spatial weighting schemes, age-band Mann–Kendall, age-standardised rates, n=1,000 power simulations).- /figures/ — 4 main figures (Figure_1–4.tif), 4 supplementary figures (Figure_S1–S3.tif + Figure_S4.png), and Supplementary Movie S1 (sigungu-level animated MP4, 14 frames, 2 fps).- /scripts/ — 18 Python scripts reproducing all derived tables, main figures, and supplementary figures from the harmonised KDCA × KOSIS inputs.- 01_manuscript.docx, 02_supplementary_material.docx, 04_response_to_reviewers.docx — final R2 documents. Data sources (not redistributed):- Korea Disease Control and Prevention Agency (KDCA) Infectious Disease Portal — https://dportal.kdca.go.kr/- Korean Statistical Information Service (KOSIS) — https://kosis.kr/ Methods:Hamed–Rao modified Mann–Kendall + rank-based Sen slope 95% CIs; annual NB2 GLM (n=14); Morlet continuous wavelet transform with 2,000-simulation AR(1) red-noise null; exhaustive BIC breakpoint search with 500-replicate parametric bootstrap CIs; global Moran's I (9,999 perms) under Queen+KNN-2 baseline plus 11 alternative weighting schemes; LISA with 999 conditional permutations; direct age standardisation to KSP-2005 + age-band Hamed–Rao MK; breakpoint detection power simulation at empirical α=0.68 (1,000 sims continuous slope, 500 sims step-shock). All Monte-Carlo procedures use seed = 42. Software: Python 3.10, pandas 2.2, statsmodels 0.14, scipy 1.13, geopandas 1.0, matplotlib 3.9. License: Creative Commons Attribution 4.0 International (CC-BY-4.0).