Spatial epidemiology characteristics and influencing factors of confirmed COVID-19 cases in Shaanxi Province

GUO Wen-wen; GUO Xi-ya; LI Peng; CAO Lei; PEI Lei-lei; ZENG Ling-xia; CHEN Zhi-jun; ZHUANG Gui-hua; QI Xin; LIU Feng

doi:10.16462/j.cnki.zhjbkz.2021.04.006

Volume 25 Issue 4

May 2021

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2021 > 25(4): 400-404

GUO Wen-wen, GUO Xi-ya, LI Peng, CAO Lei, PEI Lei-lei, ZENG Ling-xia, CHEN Zhi-jun, ZHUANG Gui-hua, QI Xin, LIU Feng. Spatial epidemiology characteristics and influencing factors of confirmed COVID-19 cases in Shaanxi Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(4): 400-404. doi: 10.16462/j.cnki.zhjbkz.2021.04.006

Citation:

GUO Wen-wen, GUO Xi-ya, LI Peng, CAO Lei, PEI Lei-lei, ZENG Ling-xia, CHEN Zhi-jun, ZHUANG Gui-hua, QI Xin, LIU Feng. Spatial epidemiology characteristics and influencing factors of confirmed COVID-19 cases in Shaanxi Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(4): 400-404. doi: 10.16462/j.cnki.zhjbkz.2021.04.006

Citation:

GUO Wen-wen, GUO Xi-ya, LI Peng, CAO Lei, PEI Lei-lei, ZENG Ling-xia, CHEN Zhi-jun, ZHUANG Gui-hua, QI Xin, LIU Feng. Spatial epidemiology characteristics and influencing factors of confirmed COVID-19 cases in Shaanxi Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(4): 400-404. doi: 10.16462/j.cnki.zhjbkz.2021.04.006

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Spatial epidemiology characteristics and influencing factors of confirmed COVID-19 cases in Shaanxi Province

doi: 10.16462/j.cnki.zhjbkz.2021.04.006

1.
Department of Epidemiology and Biostatistics, School of Public Health, Xi′an Jiaotong University Health Science Center, Xi′an 710061, China
2.
Shaanxi Provincial Center for Disease Control and Prevention, Xi′an 710054, China
3.
Xi′an Center for Disease Control and Prevention, Xi′an 710054, China

GUO Wen-wen and GUO Xi-ya contributed equally to this article

Funds:

Xi′an Municipal COVID-19 Emergency Prevention and Control Technology Special Project 20200005YX005

Natural Science Basic Research Program of Shaan′xi Province 2018JM7091

More Information

Corresponding author: QI Xin, E-mail: xin.qi@mail.xjtu.edu.cn; LIU Feng, E-mail: myjshy@163.com
Received Date: 2020-07-23
Rev Recd Date: 2020-11-27

Available Online: 2021-05-11

Publish Date: 2021-04-10

Abstract

Abstract

Objective To describe the spatial distribution of COVID-19 cases in Shaanxi Province and further explore its relevant factors, so as to provide evidence for the prevention and control of COVID-19 in Shaanxi Province. Methods The information of confirmed COVID-19 cases and relevant socioeconomic data in Shaanxi Province were collected. The temporal and spatial distribution characteristics of confirmed cases, and the correlation between the incidence of COVID-19 and socioeconomic factors in the population were analyzed by using a generalized linear model. Results Four cases were first reported in Shaanxi on 23 January 2020, with the highest number of new confirmed cases reaching 23 on 4 February and no new cases after 19 February. The imported cases appeared earlier and reached the new peak than the local cases, and entered the zero stage earlier than the local cases. The spatial distribution showed that Xi′ an (120 cases) had the largest number of confirmed cases, accounting for 48.98% of the total cases, and the districts with more confirmed cases were in Lianhu, Yanta, Xincheng and Weiyang. Socioeconomic factors which significantly associated with the number of confirmed cases in each district and country were education expenditure (IRR=0.287, 95% CI: 0.134-0.612), GDP per capita (IRR=1.143, 95% CI: 1.049-1.245) and the distance from Wuhan (IRR=0.995, 95% CI: 0.992-0.998). Conclusion Measures should be taken in key areas and population at the early stage of the epidemic to control the spread of the epidemic as soon as possible.
- Coronavirus disease 2019,
- Epidemiology,
- Spatial and temporal distribution,
- Influence factors

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References(11)

References

[1]	World Health Organization. Coronavirus disease (COVID-2019) press briefings[EB/OL]. (2020-03-11)[2020-07-15]. https://www.who.int/docs/default-source/coronaviruse/transcripts/who-audio-emergencies-coronavirus-press-conference-full-and-final-11mar2020.pdf?sfvrsn=cb432bb3_2.
[2]	李陈晨, 马倩倩, 殷环, 等. 河南省新型冠状病毒肺炎高发区流行病学特征及防控分析[J]. 武汉大学学报(医学版), 2020, 41(4): 521-528. DOI: 10.14188/j.1671-8852.2020.0113. Li CC, Ma QQ, Yin H, et al. Epidemiological features and prevention measures of COVID-19 in high incidence areas of Henan Province[J]. Med J Wuhan Univ, 2020, 41(4): 521-528. DOI: 10.14188/j.1671-8852.2020.0113.
[3]	Tian S, Hu N, Lou J, et al. Characteristics of COVID-19 infection in Beijing[J]. J Infect, 2020, 80(4): 401-406. DOI: 10.1016/j.jinf.2020.02.018.
[4]	中华人民共和国国家卫生健康委员会. 新型冠状病毒感染的肺炎诊疗方案(试行第六版)[EB/OL]. (2020-02-19)[2020-07-15]. http://www.nhc.gov.cn/yzygj/s7653p/202002/8334a8326dd94d329df351d7da8aefc2/files/b218cfeb1bc54639af227f922bf6b817.pdf. National Health Commission of the People's Republic of China. Diagnosis and Treatment for COVID-19 (Sixth Trial Edition)[EB/OL]. (2020-02-19)[2020-07-15]. http://www.nhc.gov.cn/yzygj/s7653p/202002/8334a8326dd94d329df351d7da8aefc2/files/b218cfeb1bc54639af227f922bf6b817.pdf.
[5]	中华人民共和国国家卫生健康委员会. 新型冠状病毒肺炎防控方案(第五版)[EB/OL]. (2020-02-21)[2020-07-15]. http://www.nhc.gov.cn/jkj/s3577/202002/a5d6f7b8c48c451c87dba. National Health Commission of the People's Republic of China. COVID-19 Prevention and Control Program (Fifth Edition)[EB/OL]. (2020-02-21)[2020-07-15]. http://www.nhc.gov.cn/jkj/s3577/202002/a5d6f7b8c48c451c87dba.
[6]	王英鉴, 张娜, 吕涵路, 等. 上海市新型冠状病毒肺炎发病趋势初步分析[J]. 上海预防医学, 2020, 32(2): 142-146. DOI: 10.19428/j.cnki.sjpm.2020.20041. Wang YJ, Zhang N, Lyu HL, et al. Preliminary analysis on the incidence trend of novel coronavirus pneumonia in Shanghai[J]. Shanghai J Prevent Med, 2020, 32(2): 142-146. DOI: 10.19428/j.cnki.sjpm.2020.20041.
[7]	陈一凡, 曹广文. 全国新型冠状病毒肺炎发病趋势初步分析[J]. 上海预防医学, 2020, 32(2): 147-150. DOI: 10.19428/j.cnki.sjpm.2020.20053. Chen YF, Cao GW. Incidence trend of 2019 novel coronavirus diseases (COVID-19) in China[J]. Shanghai J Prevent Med, 2020, 32(2): 147-150. DOI: 10.19428/j.cnki.sjpm.2020.20053.
[8]	陕西省卫生健康委员会. 陕西省积极做好新型冠状病毒感染的肺炎防控工作[EB/OL]. (2020-01-21)[2020-07-15]. http://sxwjw.shaanxi.gov.cn/art/2020/1/21/art_9_67301.html. Health Commission of Shannxi Province. Shaanxi Province is actively preparing to novel coronavirus infection prevention and control work[EB/OL]. (2020-01-21)[2020-07-15]. http://sxwjw.shaanxi.gov.cn/art/2020/1/21/art_9_67301.html.
[9]	陕西省卫生健康委员会. 给三秦父老的倡议书[EB/OL]. (2020-01-28)[2020-07-15]. http://sxwjw.shaanxi.gov.cn/art/2020/1/28/art_9_67517.html. Health Commission of Shannxi Province. Proposal to the masses in Shaanxi[EB/OL]. (2020-01-28)[2020-07-15]. http://sxwjw.shaanxi.gov.cn/art/2020/1/28/art_9_67517.html.
[10]	欧剑鸣, 叶雯婧, 郑奎城, 等. 福建省新型冠状病毒肺炎流行病学特征分析[J]. 中国人兽共患病学报, 2020, 36(5): 366-371. DOI: 10.3969/j.issn.1002-2694.2020.00.029. Ou JM, Ye WJ, Zheng KC, et al. Epidemiological characteristics of COVID-19 in Fujian Province, China[J]. Chin J Zoono, 2020, 36(5): 366-371. DOI: 10.3969/j.issn.1002-2694.2020.00.029.
[11]	Apolinario D, Ribeiro AI, Krainski E, et al. Tuberculosis inequalities and socio-economic deprivation in Portugal[J]. Int J Tuberc Lung Dis, 2017, 21(7): 784-789. DOI: 10.5588/ijtld.16.0907.