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Objectives <p>Although a wealth of studies has explored the impact of individual meteorological variables on influenza transmission, investigations of these effects within key subgroups—such as viral type, sex, and age—remain scarce. Moreover, long-term daily time-series influenza surveillance data are exceptionally limited. To address these shortcomings, we herein present a meticulously curated daily time-series dataset spanning approximately 11 years from Kawasaki City, Japan, to facilitate comprehensive analyses of the short-term association between meteorological variables and influenza incidence. This resource also aims to aid researchers, educators, and students by fostering the application of time-series regression modelling in both research and educational contexts.</p> Data description <p>Daily total number of influenza cases and ambient meteorological data—mean, minimum, and maximum temperature (°C); relative humidity (%); wind speed (m s⁻¹); rainfall (mm); sunshine duration (hours); and vapour pressure (hPa)—were collated for Kawasaki City, Japan (March 2014–April 2025). Influenza cases were stratified by virus type (A/B), sex (male/female), and age (0–5, 6–11 months; 1–9 years in single-year bands; 10–14, 15–19, 20–29, 30–39, 40–49, 50–59, 60–69, 70–79, ≥ 80 years).</p>

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Time-series datasets of meteorological variables and influenza incidence in Kawasaki City, Japan

  • 期刊论文

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  • 发表日期：

    2025年10月27日

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  • Keita Wagatsuma

摘要

Objectives

Although a wealth of studies has explored the impact of individual meteorological variables on influenza transmission, investigations of these effects within key subgroups—such as viral type, sex, and age—remain scarce. Moreover, long-term daily time-series influenza surveillance data are exceptionally limited. To address these shortcomings, we herein present a meticulously curated daily time-series dataset spanning approximately 11 years from Kawasaki City, Japan, to facilitate comprehensive analyses of the short-term association between meteorological variables and influenza incidence. This resource also aims to aid researchers, educators, and students by fostering the application of time-series regression modelling in both research and educational contexts.

Data description

Daily total number of influenza cases and ambient meteorological data—mean, minimum, and maximum temperature (°C); relative humidity (%); wind speed (m s⁻¹); rainfall (mm); sunshine duration (hours); and vapour pressure (hPa)—were collated for Kawasaki City, Japan (March 2014–April 2025). Influenza cases were stratified by virus type (A/B), sex (male/female), and age (0–5, 6–11 months; 1–9 years in single-year bands; 10–14, 15–19, 20–29, 30–39, 40–49, 50–59, 60–69, 70–79, ≥ 80 years).