Spatiotemporal clustering analysis of influenza in Jiangxi Province from 2017 to 2019

FU Wei-jie; DING Sheng; CHENG Hui-jian; HU Mao-hong; ZHANG Cheng-feng

doi:10.16462/j.cnki.zhjbkz.2022.01.014

Volume 26 Issue 1

Jan. 2022

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2022 > 26(1): 80-85

FU Wei-jie, DING Sheng, CHENG Hui-jian, HU Mao-hong, ZHANG Cheng-feng. Spatiotemporal clustering analysis of influenza in Jiangxi Province from 2017 to 2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(1): 80-85. doi: 10.16462/j.cnki.zhjbkz.2022.01.014

Citation:

FU Wei-jie, DING Sheng, CHENG Hui-jian, HU Mao-hong, ZHANG Cheng-feng. Spatiotemporal clustering analysis of influenza in Jiangxi Province from 2017 to 2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(1): 80-85. doi: 10.16462/j.cnki.zhjbkz.2022.01.014

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Spatiotemporal clustering analysis of influenza in Jiangxi Province from 2017 to 2019

doi: 10.16462/j.cnki.zhjbkz.2022.01.014

1.
Communicable Disease Control and Prevention, Jiangxi Provincial Center for Diseases Control and Prevention, Nanchang 330029, China
2.
Department of Scientific Education Information, Nanchang Center for Disease Control and Prevention, Nanchang 330038, China

Funds:

General Projects of Key Plans of Jiangxi Provincial Department of Science and Technology 20203BBGL73162

More Information

Corresponding author: ZHANG Cheng-feng, E-mail: 490933257@qq.com
Received Date: 2021-02-19
Rev Recd Date: 2021-05-24

Available Online: 2022-01-16

Publish Date: 2022-01-10

Abstract

Abstract

Objective To analyze the epidemiological characteristics and spatiotemporal aggregation of influenza in Jiangxi Province, and to provide the basis for influenza outbreak and epidemic early warning. Methods Descriptive epidemiological analysis and spatiotemporal clustering analysis were conducted on the influenza case information reported in Jiangxi Province from 2017 to 2019 in the "China Infectious Disease Surveillance and Management Information System". Results From 2017 to 2019, there was an epidemic peak in winter and spring every year in Jiangxi Province, with the highest incidence in southern Jiangxi Province. The annual incidence was more than twice of the provincial average; the proportion of people under 15 years old increased year by year, from 53.90% in 2017 to 72.24% in 2019.Retrospective spatiotemporal scanning analysis detected four types of spatiotemporal aggregation regions: the first type of agglomeration areas 16 counties and districts in southern Jiangxi Province on December 19, 2018 solstice on April 25, 2019 (RR=9.72, LLR=15 061.27, P < 0.001), the second type of clustering area were the 13 counties in the north of Jiangxi Province (RR=20.68, LLR=3 867.86, P < 0.001); the third type of clustering areas were 18 counties and districts in the northeast of Jiangxi Province (RR=3.13, LLR=1 297.439, P < 0.001); the foreh type of clustering region were 17 counties and districts in western Jiangxi on December 2, 2019 (RR=5.09, LLR=1 233.47, P < 0.001). Conclusion From 2017 to 2019, the incidence of influenza in Jiangxi Province showed obvious spatiotemporal clustering, but the clustering time was different among different regions. Influenza was mainly in the late winter and spring.
- Ifluenza,
- Epidemiology,
- Spatio-temporal scan,
- Spatiotemporal aggregation

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References(17)

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