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The correlation between the daily incidence of varicella and meteorological factors in Jiangxi province from 2015 to 2021: a surveillance data analysis
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Xing YE1, 2, 3, Chengfeng ZHANG1, 2, Huijian CHENG1, 2, Sheng DING1, 2, Weijie FU1, 2, 3
Chinese Journal of Public Health | 2025, 41(6) : 740 - 743
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Chinese Journal of Public Health | 2025, 41(6): 740-743
• Survey and Report •
The correlation between the daily incidence of varicella and meteorological factors in Jiangxi province from 2015 to 2021: a surveillance data analysis
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Xing YE1, 2, 3, Chengfeng ZHANG1, 2, Huijian CHENG1, 2, Sheng DING1, 2, Weijie FU1, 2, 3
Affiliations
  • 1Emergency Transmission and Prevention Center, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China
  • 2Jiangxi Provincial Leading Medical Discipline "Epidemiology", Nanchang 330029, China
  • 3Youth Research and Innovation Team , Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China
Published: 2025-06-10 doi: 10.11847/zgggws1146333
Outline
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Objective

To understand the correlation between the incidence of varicella and meteorological factors in Jiangxi province from 2015 to 2021, and to provide a reference for meteorological prediction and early warning of varicella incidence.

Methods

Daily varicella incidence data reported by direct reporting units for infectious diseases in Jiangxi province from January 1, 2015, to December 31, 2021, were collected from the Chinese Center for Disease Control and Prevention Information System. Meteorological data for the same period, including daily minimum temperature, daily maximum temperature, daily average temperature, sunshine duration, daily maximum wind speed, daily precipitation, and daily average relative humidity, were collected from the Jiangxi Meteorological Bureau. Pearson correlation analysis and generalized linear regression models were used to analyze the relationship between varicella incidence and different meteorological factors in Jiangxi province.

Results

A total of 133 370 varicella cases were reported in Jiangxi province from 2015 to 2021, with a daily incidence of (51 ± 36) cases. Among these cases, 31 604 (23.70%) were in the 0 - 4 age group, 26 910 (20.18%) were in the 5 - 9 age group, 45 938 (34.44%) were in the 10 - 14 age group, and 28 918 (21.68%) were in the ≥ 15 age group. Pearson correlation analysis showed that the daily incidence of varicella was negatively correlated with daily minimum temperature (r = -0.280, P < 0.001), daily maximum temperature (r = -0.270, P < 0.001), daily average temperature (r = -0.280, P < 0.001), sunshine duration (r = -0.079, P < 0.001), daily maximum wind speed (r = -0.130, P < 0.001), and daily precipitation (r = -0.093, P < 0.001). Generalized linear regression analysis showed that the daily incidence of varicella in the 0 - 4 and 5 - 9 age groups was negatively correlated with daily average temperature (β = -0.032 and -0.027, both P < 0.001) and daily maximum wind speed (β = -0.004 and -0.062, both P < 0.05). The daily incidence of varicella in the 10 - 14 and ≥ 15 age groups was negatively correlated with daily average temperature (β = -0.022 and -0.024, both P < 0.001) and daily precipitation (β = -0.007 and -0.007, both P < 0.05).

Conclusions

There was a significant negative correlation between the incidence of varicella and various meteorological factors, including daily minimum temperature, daily maximum temperature, daily average temperature, sunshine duration, daily maximum wind speed, and daily precipitation, in Jiangxi province from 2015 to 2021. The correlation between the daily incidence of varicella and meteorological factors varied across different age groups.

varicella  /  daily incidence  /  meteorological factors  /  correlation analysis  /  Jiangxi province
叶兴, 章承锋, 程慧健, 丁晟, 傅伟杰. 2015—2021年江西省水痘日发病数与气象因素相关分析. 中国公共卫生, 2025 , 41 (6) : 740 -743 . DOI: 10.11847/zgggws1146333
Xing YE, Chengfeng ZHANG, Huijian CHENG, Sheng DING, Weijie FU. The correlation between the daily incidence of varicella and meteorological factors in Jiangxi province from 2015 to 2021: a surveillance data analysis[J]. Chinese Journal of Public Health, 2025 , 41 (6) : 740 -743 . DOI: 10.11847/zgggws1146333
Year 2025 volume 41 Issue 6
86
36
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Article Info
doi: 10.11847/zgggws1146333
  • Receive Date:2024-11-04
  • Online Date:2026-10-25
  • Published:2025-06-10
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History
  • Received:2024-11-04
  • Revised:2024-12-28
  • Accepted:2025-04-12
Affiliations
    1Emergency Transmission and Prevention Center, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China
    2Jiangxi Provincial Leading Medical Discipline "Epidemiology", Nanchang 330029, China
    3Youth Research and Innovation Team , Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China

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FU Weijie, E-mail:
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表12种不同金属材料的力学参数
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Family
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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