XIONG Huawei, ZHU Yuanfa, CHENG Yanpeng, ZHANG Jia, LU Yan, YE Yanfen, LYU Qiuying, ZHANG Zhen, CHEN Zhigao. Epidemiological characteristics and influencing factors of spatiotemporal clustering of other infectious diarrhea in Shenzhen, 2012-2022[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(12): 1474-1480. doi: 10.16462/j.cnki.zhjbkz.2024.12.017
Citation:
XIONG Huawei, ZHU Yuanfa, CHENG Yanpeng, ZHANG Jia, LU Yan, YE Yanfen, LYU Qiuying, ZHANG Zhen, CHEN Zhigao. Epidemiological characteristics and influencing factors of spatiotemporal clustering of other infectious diarrhea in Shenzhen, 2012-2022[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(12): 1474-1480. doi: 10.16462/j.cnki.zhjbkz.2024.12.017
XIONG Huawei, ZHU Yuanfa, CHENG Yanpeng, ZHANG Jia, LU Yan, YE Yanfen, LYU Qiuying, ZHANG Zhen, CHEN Zhigao. Epidemiological characteristics and influencing factors of spatiotemporal clustering of other infectious diarrhea in Shenzhen, 2012-2022[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(12): 1474-1480. doi: 10.16462/j.cnki.zhjbkz.2024.12.017
Citation:
XIONG Huawei, ZHU Yuanfa, CHENG Yanpeng, ZHANG Jia, LU Yan, YE Yanfen, LYU Qiuying, ZHANG Zhen, CHEN Zhigao. Epidemiological characteristics and influencing factors of spatiotemporal clustering of other infectious diarrhea in Shenzhen, 2012-2022[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(12): 1474-1480. doi: 10.16462/j.cnki.zhjbkz.2024.12.017
Objective Objective To analyze the epidemiological characteristics of other infectious diarrhea in Shenzhen city, as a reference for the epidemic prevention and control work.Methods Descriptive epidemiological methods to analyze the epidemiological characteristics of other infectious diarrhea in Shenzhen from 2012 to 2022, spatial autocorrelation analysis was used to analyze their spatiotemporal clustering features.Results From 2012 to 2022, Shenzhen documented a cumulative total of 396 302 cases of infectious diarrhea at an average annual incidence rate of approximately 273.84 per 100 000 individuals. The male-to-female case ratio stood at 1.40∶1.00 and predominantly affected children under three years old residing in dispersed households. Winter marked as its seasonal peak. Longgang District consistently exhibited the highest incidence rates among Shenzhen′s districts over six successive years, reaching an annual incidence rate of 359.24 per 100 000 individuals. Significant geographic disparities were observed.Spatial autocorrelation analyses revealed clustered patterns (Z=1.872-3.901, P < 0.05) during the period from 2017 to 2022, demonstrating "high-high" clusters annually. Consistent outcomes emerged from spatial scanandcorrelationanalyses, involving eight main district clusters all coinciding with winter peaks. Reported casenumbers correlated positively with urban migrant proportions while negatively with urban population densities.Conclusions From 2012 to 2022, the average annual incidence rate of other infectious diarrheal diseases in Shenzhen exceeds the national average for the corresponding period. The incidence peaks primarily during the winter season, with the majority of cases occurring among children under the age of three who are not enrolled in daycare. There is a positive correlation between the incidence rate and both the proportion of the migrant population and population density. Additionally, certain districts exhibit notable spatiotemporal clustering.
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