Literature DB >> 28910934

[Analysis on epidemiology and spatial-temporal clustering of human brucellosis in Fujian province, 2011-2016].

H S Zhu1, L L Wang2, D H Lin3, R T Hong1, J M Ou1, W Chen1, B P Wu4, W L Huang1, Z H Xie1, G M Chen1, S G Wu1, Z B Xu5, Y Q Deng3.   

Abstract

Objective: To analyze the epidemiological characteristics and spatial distribution of human brucellosis in Fujian province during 2011-2016, and provide evidence for the prevention and control of the disease.
Methods: The surveillance data of human brucellosis in Fujian during 2011-2016 was analyzed with software R 3.3.1, ArcGIS 10.3.1, GeoDa 1.8.8 and SaTScan 9.4.3.
Results: During 2011-2016, a total of 319 human brucellosis cases were reported, the incidence increased year by year (F=11.838, P=0.026) with the annual incidence of 0.14/100 000. The male to female rate ratio of the incidence was 2.50 ∶ 1. Farmers and herdsmen accounted for 57.37%. The incidence was 0.40/100 000 in Zhangzhou and 0.32/100 000 in Nanping, which were higher than other areas. The number of affected counties (district) increased from 12 in 2011 to 28 in 2016, showing a significant increase (F=13.447, P=0.021). The Moran's I of brucellosis in Fujian between January 2011 and December 2016 was 0.045, indicating the presence of a high value or low value clustering areas. Local spatial autocorrelation analysis showed that, high-high clustering area (hot spots) were distributed in Zhangpu, Longhai, Longwen, etc, while high-low clustering areas were distributed in Nan'an and Jiaocheng, etc. Temporal scanning showed that there were three clustering areas in areas with high incidence, the most possible clustering, occurring during January 1, 2013- December 31,2015, covered 6 counties, including Yunxiao, Pinghe, Longhai, etc, and Zhangpu was the center, (RR=7.96, LLR=92.62, P<0.001). Conclusions: The epidemic of human brucellosis in Fujian is becoming serious, and has spread to general population and non-epidemic areas. It is necessary to strengthen the prevention and control of human brucellosis in areas at high risk.

Entities:  

Keywords:  Brucellosis; Epidemiology; Spatial autocorrelation; Spatial-temporal cluster; Spatial-temporal scanning

Mesh:

Year:  2017        PMID: 28910934     DOI: 10.3760/cma.j.issn.0254-6450.2017.09.014

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  4 in total

1.  Spatiotemporal expansion of human brucellosis in Shaanxi Province, Northwestern China and model for risk prediction.

Authors:  Zurong Yang; Miaomiao Pang; Qingyang Zhou; Shuxuan Song; Weifeng Liang; Junjiang Chen; Tianci Guo; Zhongjun Shao; Kun Liu
Journal:  PeerJ       Date:  2020-10-19       Impact factor: 2.984

2.  Predicting the incidence of brucellosis in Western Iran using Markov switching model.

Authors:  Maryam Mohammadian-Khoshnoud; Majid Sadeghifar; Zahra Cheraghi; Zahra Hosseinkhani
Journal:  BMC Res Notes       Date:  2021-03-01

3.  Effect of climatic factors on the seasonal fluctuation of human brucellosis in Yulin, northern China.

Authors:  Kun Liu; Zurong Yang; Weifeng Liang; Tianci Guo; Yong Long; Zhongjun Shao
Journal:  BMC Public Health       Date:  2020-04-16       Impact factor: 3.295

4.  Epidemiological Characteristics and Spatiotemporal Trend Analysis of Human Brucellosis in China, 1950-2018.

Authors:  Huixin Yang; Siwen Zhang; Taijun Wang; Chenhao Zhao; Xiangyi Zhang; Jing Hu; Chenyu Han; Fangfang Hu; Jingjing Luo; Biao Li; Wei Zhao; Kewei Li; Ying Wang; Qing Zhen
Journal:  Int J Environ Res Public Health       Date:  2020-03-31       Impact factor: 3.390

  4 in total

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