Literature DB >> 30293304

[Characteristics on spatial and temporal distribution as well as the driving effect of meteorological factors on brucellosis in Datong city, Shanxi province, 2005-2015].

Z R Yang1, X Li1, Z J Shao1, W T Ma2, X J Yuan1, K J Wu3, K Liu1.   

Abstract

Objective: To explore the spatio-temporal epidemic trends and related driving effects of meteorological factors on brucellosis in Datong city, Shanxi province, from 2005 to 2015.
Methods: We collected the surveillance data on brucellosis and related meteorological data in Datong city from 2005 to 2015, to describe the epidemic characteristics of the disease. Quasi-Poisson distribution lag non-liner model (DLNM) was built to explore the driving effect of monthly meteorological data on the disease.
Results: From 2005 to 2015, Datong city reported a total of 17 311 cases of brucellosis including one death, with the annual average incidence as 47.43 per 100 000 persons. A rising trend was seen during the study period. The monthly incidence of Brucellosis presented an obvious curve with a major peak from March to June, accounted for 48.40% of the total cases. The high incidence areas in the city gradually expanded from the northeast and southeast to the western areas. Results from the DLNM studies suggested that seasonality of brucellosis in Datong was significantly affected by metrological factors such as evaporation, rainfall and temperature. The peak of delayed effect appeared the highest when the monthly cumulative evaporation capacity was 140-260 mm and the monthly cumulative rainfall was 20-60 mm with lag less than 1 month or the monthly temperature was -13 ℃ with lag of 4-5 months. Conclusions: The incidence of human brucellosis in Datong city increased significantly from 2005 to 2015. Meteorological factors such as evaporation, rainfall, temperature all showed significant driving effects on the disease.

Entities:  

Keywords:  Brucellosis; Distribute lag non-linear model; Meteorological factor; Spatial and temporal distribution

Mesh:

Year:  2018        PMID: 30293304     DOI: 10.3760/cma.j.issn.0254-6450.2018.09.005

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


  5 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.  An exploratory study of factors associated with human brucellosis in mainland China based on time-series-cross-section data from 2005 to 2016.

Authors:  Yun Lin; Minghan Xu; Xingyu Zhang; Tao Zhang
Journal:  PLoS One       Date:  2019-06-14       Impact factor: 3.240

3.  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

4.  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

5.  The long-term effects of meteorological parameters on pertussis infections in Chongqing, China, 2004-2018.

Authors:  Yongbin Wang; Chunjie Xu; Jingchao Ren; Yingzheng Zhao; Yuchun Li; Lei Wang; Sanqiao Yao
Journal:  Sci Rep       Date:  2020-10-14       Impact factor: 4.379

  5 in total

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