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Effects and interactions of meteorological factors on the incidence of scarlet fever in Guangzhou: an analysis based on surveillance data from 2014 to 2022
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Zhitao CHEN1, 2, Runbin ZHANG3, Shanghui YIN1, Dedong WANG1, Di WU1, Yanhui LIU1
Chinese Journal of Public Health | 2026, 42(6) : 722 - 729
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Chinese Journal of Public Health | 2026, 42(6): 722-729
• Survey and Report •
Effects and interactions of meteorological factors on the incidence of scarlet fever in Guangzhou: an analysis based on surveillance data from 2014 to 2022
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Zhitao CHEN1, 2, Runbin ZHANG3, Shanghui YIN1, Dedong WANG1, Di WU1, Yanhui LIU1
Affiliations
  • 1Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
  • 2‌Center for Disease Control and Prevention, Southern Theater Command of the People′s Liberation Army of China, Guangzhou 510640, China
  • 3Tianhe Zhujiji Community Health Service Center, Guangzhou 510660, China
Published: 2026-06-10 doi: 10.11847/zgggws1146501
Outline
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Objective

To analyze the effects of meteorological factors on the incidence of scarlet fever in Guangzhou from 2014 to 2022.

Methods

The epidemiological characteristics of scarlet fever in Guangzhou were described. The effects of meteorological factors on the risk of scarlet fever were evaluated via Spearman correlation analysis, distributed lag non-linear models, and bivariate response models.

Results

The incidence of scarlet fever had correlations (P < 0.05) with mean temperature (rs = −0.255), wind speed (rs = −0.126), air pressure (rs = 0.116), and sunshine duration (rs = −0.177). Mean temperature exhibited risk effects at lower temperatures and protective effects at higher temperatures, with the relative risk (RR) peaking at 1.41 (95%CI: 1.09–1.83) when the temperature was 12 ℃. The relationships of wind speed and sunshine duration with incidence of scarlet fever followed a wave-like pattern, with the strongest risk effect observed at a wind speed of 4.3 m/s (RR = 5.67, 95%CI: 1.61–19.84). When sunshine duration exceeded 8 h/d, the risk effect increased markedly, albeit not statistically significant (95%CI: 0.97–4.95). Air pressure demonstrated protective effects at low levels and risk effects at high levels on the incidence of scarlet fever, with the RR peaking at 2.26 (95%CI: 1.70–3.02) when the air pressure was 1 016.5 hPa. The interactions of meteorological factors such as low temperature, high wind speed, long sunshine duration, and high air pressure further contributed to an increase in scarlet fever incidence in Guangzhou.

Conclusions

Mean temperature, wind speed, air pressure, and sunshine duration demonstrate non-linear relationships and lag effects with the incidence of scarlet fever, with interactions among each other. Therefore, adjusting these meterological factors can be taken as a focus of prevention and control efforts for scarlet fever.

scarlet fever  /  meteorological factor  /  distributed lag nonlinear model  /  bivariate response model  /  interaction  /  Guangzhou city
陈志涛, 张润彬, 殷尚晖, 王德东, 吴迪, 刘艳慧. 广州市气象因素对猩红热发病影响及交互作用分析:基于2014—2022年监测资料. 中国公共卫生, 2026 , 42 (6) : 722 -729 . DOI: 10.11847/zgggws1146501
Zhitao CHEN, Runbin ZHANG, Shanghui YIN, Dedong WANG, Di WU, Yanhui LIU. Effects and interactions of meteorological factors on the incidence of scarlet fever in Guangzhou: an analysis based on surveillance data from 2014 to 2022[J]. Chinese Journal of Public Health, 2026 , 42 (6) : 722 -729 . DOI: 10.11847/zgggws1146501
Year 2026 volume 42 Issue 6
91
43
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Article Info
doi: 10.11847/zgggws1146501
  • Receive Date:2024-11-24
  • Online Date:2026-10-23
  • Published:2026-06-10
Article Data
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History
  • Received:2024-11-24
  • Revised:2025-08-28
  • Accepted:2025-10-23
Affiliations
    1Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
    2‌Center for Disease Control and Prevention, Southern Theater Command of the People′s Liberation Army of China, Guangzhou 510640, China
    3Tianhe Zhujiji Community Health Service Center, Guangzhou 510660, China

Corresponding:

WU Di, E-mail:
LIU Yanhui, E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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