Spatial-temporal distribution and influencing factors of Brucellosis in China

MA Yunlong; LIU Ying; LI Xiaolong; SHAO Lina; YANG Tong; MA Xiaoxia; ZHAI Changsheng; ZHAO Yu

doi:10.16462/j.cnki.zhjbkz.2023.11.001

Volume 27 Issue 11

Nov. 2023

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2023 > 27(11): 1241-1246

MA Yunlong, LIU Ying, LI Xiaolong, SHAO Lina, YANG Tong, MA Xiaoxia, ZHAI Changsheng, ZHAO Yu. Spatial-temporal distribution and influencing factors of Brucellosis in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(11): 1241-1246. doi: 10.16462/j.cnki.zhjbkz.2023.11.001

Citation:

MA Yunlong, LIU Ying, LI Xiaolong, SHAO Lina, YANG Tong, MA Xiaoxia, ZHAI Changsheng, ZHAO Yu. Spatial-temporal distribution and influencing factors of Brucellosis in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(11): 1241-1246. doi: 10.16462/j.cnki.zhjbkz.2023.11.001

Citation:

MA Yunlong, LIU Ying, LI Xiaolong, SHAO Lina, YANG Tong, MA Xiaoxia, ZHAI Changsheng, ZHAO Yu. Spatial-temporal distribution and influencing factors of Brucellosis in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(11): 1241-1246. doi: 10.16462/j.cnki.zhjbkz.2023.11.001

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Spatial-temporal distribution and influencing factors of Brucellosis in China

doi: 10.16462/j.cnki.zhjbkz.2023.11.001

MA Yunlong^{1, 2},
LIU Ying^{1, 2},
LI Xiaolong^{1, 2},
SHAO Lina^{1, 2},
YANG Tong^{1, 2},
MA Xiaoxia^{1, 2},
ZHAI Changsheng³,
ZHAO Yu^{1, 2
,
,}

1.
School of Public Health, Ningxia Medical University, Yinchuan 750004, China
2.
Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan 750004, China
3.
School of Mathematics and Computer Science, Ningxia Normal University, Guyuan 756000, China

Funds:

National Natural Science Foundation of China 12061058

Ningxia Natural Science Foundation 2022AAC03296

Innovation and Entrepreneurship Training Program for College Students in Ningxia S202210752004

More Information

Corresponding author: ZHAO Yu, E-mail: zhaoyu@nxmu.edu.cn
Received Date: 2023-03-06
Rev Recd Date: 2023-05-13

Available Online: 2023-11-20

Publish Date: 2023-11-10

Abstract

Abstract

Objective To explore the spatiotemporal distribution characteristics and influencing factors of the incidence of Brucellosis in China from 2004 to 2019, and to provide a theoretical reference for the formulation of prevention and control policies and taking accurate control measures in the high-risk areas of Brucellosis in China. Methods Based on the standardized morbidity ratio (SMR) of Brucellosis in 31 provinces (municipalities and autonomous regions) in China from 2004 to 2019, spatial autocorrelation analysis and spatial regression analysis were carried out to explore the temporal and spatial distribution characteristics and influencing factors of Brucellosis in China. Results The incidence of Brucellosis in China showed an increasing trend first and then decreased from 2004 to 2019. Spatial autocorrelation analysis showed that the distribution of Brucellosis in China from 2004 to 2019 had a significant positive spatial clustering. The "High-High" clusters were mainly located in the Northern regions of Inner Mongolia and its neighboring provinces, while the "Low-Low" clusters were mainly distributed in the Southern regions such as Hunan, Guizhou, and Guangdong. In addition, spatial regression analysis indicated that the average temperature, relative humidity, cultivated land area, and livestock feeding were positively correlated with the national Brucellosis SMR, while the population, per capita gross domestic product and forest area were negatively correlated. Conclusions The results suggest that targeted prevention and control measures in key areas, epidemic prevention monitoring for different animal species, and the enhancement of health education and self-prevention awareness can reduce the occurrence of Brucellosis.
- Brucellosis,
- Standardized morbidity ratio,
- Spatial autocorrelation,
- Spatial regression model

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References(18)

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