Data for: Climate drivers of influenza activity and their predictive value in a subtropical region (Guangdong, China, 2004-2024)

Abstract

Data for the study "Climate drivers of influenza activity and their predictive value in a subtropical region: a 21-year time-series study". The dataset contains monthly reported influenza cases in Guangdong Province, China (January 2004 to December 2024, 252 months) and province-averaged monthly meteorological variables derived from the ERA5 reanalysis (mean temperature, relative humidity, absolute humidity, wind speed, precipitation, mean sea-level pressure, sunshine duration and diurnal temperature range). It also contains the intermediate data and results produced by the analysis code: negative binomial distributed lag non-linear models (DLNM) and PLS/PCA climate-component negative binomial prediction models. Contents: README.md (file descriptions and variable dictionary); flu_climate_monthly_2004_2024.csv (analysis dataset); guangdong_flu_climate_data.zip (01_raw, 02_processed, 03_intermediate and 04_results folders). Influenza data source: Guangdong Provincial Center for Disease Control and Prevention and the China Public Health Science Data Center. Meteorological data source: ERA5 (Copernicus Climate Change Service, https://doi.org/10.24381/cds.f17050d7). Analysis code: https://github.com/wcs52113140123-pixel/guangdong-flu-climate