Spatiotemporal evolution and influencing factors of coronavirus disease 2019 in Jiangxi Province

GAO Xing; LI Gang; WANG Jiao-bei; XU Ting-ting; ZHANG Xiao-han; NING Qian

doi:10.16462/j.cnki.zhjbkz.2021.04.008

Volume 25 Issue 4

May 2021

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2021 > 25(4): 411-415

GAO Xing, LI Gang, WANG Jiao-bei, XU Ting-ting, ZHANG Xiao-han, NING Qian. Spatiotemporal evolution and influencing factors of coronavirus disease 2019 in Jiangxi Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(4): 411-415. doi: 10.16462/j.cnki.zhjbkz.2021.04.008

Citation:

GAO Xing, LI Gang, WANG Jiao-bei, XU Ting-ting, ZHANG Xiao-han, NING Qian. Spatiotemporal evolution and influencing factors of coronavirus disease 2019 in Jiangxi Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(4): 411-415. doi: 10.16462/j.cnki.zhjbkz.2021.04.008

Citation:

GAO Xing, LI Gang, WANG Jiao-bei, XU Ting-ting, ZHANG Xiao-han, NING Qian. Spatiotemporal evolution and influencing factors of coronavirus disease 2019 in Jiangxi Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(4): 411-415. doi: 10.16462/j.cnki.zhjbkz.2021.04.008

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Spatiotemporal evolution and influencing factors of coronavirus disease 2019 in Jiangxi Province

doi: 10.16462/j.cnki.zhjbkz.2021.04.008

College of Urban and Environmental Sciences, Northwest University, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi′an 710127, China

Funds:

Key Project of the Special Guidance Fund for Emergency Study on the Prevention and Treatment of COVID-19 by Northwest University 2020

Tang Scholar Program of Northwest University 2016

More Information

Corresponding author: LI Gang, E-mail: lig@nwu.edu.cn
Received Date: 2020-06-26
Rev Recd Date: 2020-11-28

Available Online: 2021-05-11

Publish Date: 2021-04-10

Abstract

Abstract

Objective To analyze the epidemiological characteristics, spatiotemporal evolution and influencing factors of coronavirus disease 2019 (COVID-19) in Jiangxi Province. Methods Text analysis was used to extract epidemiological information, ArcGIS 10.3 was performed to capture the evolution, spatial analysis method was applied to explore the spatiotemporal characteristics, and Partial Least Square (PLS) estimation was used to analyze the influencing factors of the epidemic distribution. Results In Jiangxi Province, 930 cases have been confirmed in total, with young and middle-aged people accounting for the most (60.40%), and the service industry, migrant workers and labors accounted for the largest proportion. According to the activity track and contact history, the cases can be divided into three types: imported, mixed and diffuse. The diffuse cases account for 85.48% of the total. The development of the epidemic can be divided into three stages: import period, diffusion period and control period. The spatial distribution of the epidemic showed the pattern of "southwest-northeast" and "the northern part of Jiangxi was more heavily affected than the southern and middle part of Jiangxi, with high primary ratio in Nanchang-Xinyu". Population concentration, the intensity of communication and the distance from the worst-hit area were the main factors affecting the distribution of the epidemic. Conclusions The gender distribution of confirmed cases was balanced, with young and middle-aged people as the main group. The epidemic had great influence on service industry. The epidemic developed with the pattern of "rapid increase followed by slow decrease", and with significant spatial heterogeneity. Population concentration and mobility as well as the overall epidemic pattern were the key factors affecting the epidemic distribution.
- COVID-19,
- Epidemiological characteristics,
- Spatiotemporal evolution,
- Influencing factors,
- Jiangxi Province

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References(9)

References

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