Epidemiological characteristics and trends of other infectious diarrhea among children during 2014-2020 in Guangzhou City

MA Xiaowei; DU Huanchun; WANG Yao; TANG Sili; FAN Weidong; YANG Qian; LIU Weijia; LU Jianyun; YUAN Jun; ZHANG Zhoubin

doi:10.16835/j.cnki.1000-9817.2025217

Volume 46 Issue 7

Jul. 2025

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Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2025 > 46(7): 922-925

MA Xiaowei, DU Huanchun, WANG Yao, TANG Sili, FAN Weidong, YANG Qian, LIU Weijia, LU Jianyun, YUAN Jun, ZHANG Zhoubin. Epidemiological characteristics and trends of other infectious diarrhea among children during 2014-2020 in Guangzhou City[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(7): 922-925. doi: 10.16835/j.cnki.1000-9817.2025217

Citation:

MA Xiaowei, DU Huanchun, WANG Yao, TANG Sili, FAN Weidong, YANG Qian, LIU Weijia, LU Jianyun, YUAN Jun, ZHANG Zhoubin. Epidemiological characteristics and trends of other infectious diarrhea among children during 2014-2020 in Guangzhou City[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(7): 922-925. doi: 10.16835/j.cnki.1000-9817.2025217

Citation:

MA Xiaowei, DU Huanchun, WANG Yao, TANG Sili, FAN Weidong, YANG Qian, LIU Weijia, LU Jianyun, YUAN Jun, ZHANG Zhoubin. Epidemiological characteristics and trends of other infectious diarrhea among children during 2014-2020 in Guangzhou City[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(7): 922-925. doi: 10.16835/j.cnki.1000-9817.2025217

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Epidemiological characteristics and trends of other infectious diarrhea among children during 2014-2020 in Guangzhou City

doi: 10.16835/j.cnki.1000-9817.2025217

MA Xiaowei^{1, 2},
DU Huanchun^{1, 2},
WANG Yao^{1, 2},
TANG Sili^{1, 2},
FAN Weidong³,
YANG Qian^{1, 2},
LIU Weijia^{1, 2},
LU Jianyun⁴,
YUAN Jun^{2, 5},
ZHANG Zhoubin^{2, 5
,
,}

1.
Institute of Health Inspection, Guangzhou Center for Disease Control and Prevention/Guangzhou Health Supervision Institute, Guangzhou 510440, Guangdong Province, China

Received Date: 2025-01-20
Rev Recd Date: 2025-03-10

Available Online: 2025-08-02

Publish Date: 2025-07-25

Abstract

Abstract

Objective To analyze the epidemiological characteristics and trends of other infectious diarrhea among children under 18 years old in Guangzhou City from 2014 to 2020, and to explore the correlation between climatic factors and the incidence of the disease, so as to provide reference for the early prevention of infectious diseases. Methods The data of cases of other infectious diarrhea and meteorological data of children under 18 years old in Guangzhou City from 2014 to 2020 were collected through the Chinese Infectious Disease Reporting System and the Guangzhou Meteorological Bureau. The correlation between meteorological factors and the incidence of other infectious diarrhea was analyzed using negative binomial regression. Results A total of 104 566 cases of other infectious diarrhea among children under 18 years old were reported in Guangzhou City from 2014 to 2020, with a male-to-female ratio of 1.48∶1. The incidence rate was the highest in 2017 (980.83 per 100 000) and the lowest in 2020 (388.22 per 100 000). The peak of incidence occurred from October to March of the following year. Children under 5 years old accounted for 87.95% of all cases. The number of cases of other infectious diarrhea was negatively correlated with the temperature of the previous 6 days (IRR=-0.07), and positively correlated with the temperature difference on the day of onset (IRR=0.02) (both P < 0.05). It was also positively correlated with the wind speed of the previous 7 days (IRR=0.07, P < 0.05), but there was no statistically significant correlation with the relative humidity on the day of onset (IRR=-0.00, P > 0.05). Conclusions Low temperature, large temperature difference, and high wind speed can increase the risk of other infectious diarrhea. It is necessary to strengthen the prediction and early warning in conjunction with meteorological changes, and warn kindergartens and schools to enhance preventive measures against the clustering of other infectious diarrhea cases.
- Diarrhea,
- Epidemiologic studies,
- Regression analysis,
- Child

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References(26)

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