Spatial and temporal distribution of H5N1 avian influenza in mainland China

WEI Xiao-meng; ZHANG Juan; LI Ming-tao; PEI Xin

doi:10.16462/j.cnki.zhjbkz.2021.11.014

Volume 25 Issue 11

Nov. 2021

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2021 > 25(11): 1314-1319

WEI Xiao-meng, ZHANG Juan, LI Ming-tao, PEI Xin. Spatial and temporal distribution of H5N1 avian influenza in mainland China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(11): 1314-1319. doi: 10.16462/j.cnki.zhjbkz.2021.11.014

Citation:

WEI Xiao-meng, ZHANG Juan, LI Ming-tao, PEI Xin. Spatial and temporal distribution of H5N1 avian influenza in mainland China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(11): 1314-1319. doi: 10.16462/j.cnki.zhjbkz.2021.11.014

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Spatial and temporal distribution of H5N1 avian influenza in mainland China

doi: 10.16462/j.cnki.zhjbkz.2021.11.014

WEI Xiao-meng^{1, 2},
ZHANG Juan^{1
,
,},
LI Ming-tao³,
PEI Xin^{3
,
,}

1.
Complex Systems Research Center, Shanxi University, Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention, Shanxi, Taiyuan 030006, China
2.
School of Mathematical Sciences, Shanxi University, Shanxi, Taiyuan 030006, China
3.
College of Mathematics, Taiyuan University of Technology, Shanxi, Taiyuan 030024, China

Funds:

General Youth Fund project in Shanxi Province 201901D211158

Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi Province 2019L0112

National Natural Science Foundation of China Under Grant 11601292

National Natural Science Foundation of China Under Grant 11801398

National Natural Science Foundation of China Under Grant 12101443

More Information

Corresponding author: ZHANG Juan, E-mail: zhangjuan1020@sxu.edu.cn; PEI Xin, E-mail: peixin1120@126.com
Received Date: 2021-02-22
Rev Recd Date: 2021-05-02

Available Online: 2021-12-04

Publish Date: 2021-11-10

Abstract

Abstract

Objective To explore the spatiotemporal distribution characteristics of the frequency of H5N1 subtype highly pathogenic avian influenza from 2004 to 2019 in 31 autonomous regions and municipalities directly under the central government in mainland China. Methods Based on ArcGIS10.5 and SPSS 26 software, cluster analysis and chi-square test were applied to investigate the temporal distribution characteristics and influencing factors of H5N1 epidemic disease. The spatial autocorrelation method was applied to study the spatial distribution characteristics of H5N1 epidemic diseases. Results Temporal cluster analysis showed that the frequency of H5N1 outbreak was clustering in the temporal distribution during both the epidemic phase (2004-2005) and the stationary phase (2006-2019), with January, February, June, and November being periods of high incidence of the disease. Global spatial autocorrelation analysis showed that the spatial distribution of H5N1 was clustering during the epidemic phase and presented a random distribution during the stationary phase of the epidemic. Local autocorrelation analysis showed that H5N1 hotspot areas in the epidemic stage were concentrated in Xinjiang and central China, mainly including Urumqi, Xianning, Yueyang, Anqing, and Jiujiang, and hotspot areas in the stable stage were mainly concentrated in northwest China. Chi-square test showed that there was a correlation between epidemic disease and bird migration. Conclusion The frequency of H5N1 avian influenza in mainland China has spatiotemporal clustering in the epidemic stage and only certain temporal clustering in the stable stage.
- H5N1,
- Spatio-temporal statistical method,
- Spatial autocorrelation analysis,
- Correlation of temporal,
- Migratory bird

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References(17)

References

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