This public analysis script summarizes the core analytical workflow used in the manuscript. Using a time-stratified case-crossover design, it fits distributed lag non-linear models with conditional logistic regression to estimate cumulative associations between day-to-day changes in actual vapor pressure, absolute humidity, and relative humidity and pediatric allergic rhinitis visits. The script further implements subgroup analyses for actual vapor pressure change by sex, age, season, and background absolute humidity, as well as sensitivity analyses for lag windows, covariate adjustment schemes, and linear pollutant terms. It also summarizes odds ratios and attributable fractions for preprocessed future scenario Δeₐ series to reproduce the main epidemiological and projection-based results.