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

Abstract Background Brucellosis is a serious public health problem primarily affecting livestock workers. The strong seasonality of the disease indicates that climatic factors may play important roles in the transmission of the disease. However, the associations between climatic variability and huma...

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Main Authors: Kun Liu (Author), Zurong Yang (Author), Weifeng Liang (Author), Tianci Guo (Author), Yong Long (Author), Zhongjun Shao (Author)
Format: Book
Published: BMC, 2020-04-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Kun Liu  |e author 
700 1 0 |a Zurong Yang  |e author 
700 1 0 |a Weifeng Liang  |e author 
700 1 0 |a Tianci Guo  |e author 
700 1 0 |a Yong Long  |e author 
700 1 0 |a Zhongjun Shao  |e author 
245 0 0 |a Effect of climatic factors on the seasonal fluctuation of human brucellosis in Yulin, northern China 
260 |b BMC,   |c 2020-04-01T00:00:00Z. 
500 |a 10.1186/s12889-020-08599-4 
500 |a 1471-2458 
520 |a Abstract Background Brucellosis is a serious public health problem primarily affecting livestock workers. The strong seasonality of the disease indicates that climatic factors may play important roles in the transmission of the disease. However, the associations between climatic variability and human brucellosis are still poorly understood. Methods Data for a 14-year series of human brucellosis cases and seven climatic factors were collected in Yulin City from 2005 to 2018, one of the most endemic areas in northern China. Using cross-correlation analysis, the Granger causality test, and a distributed lag non-linear model (DLNM), we assessed the quantitative relationships and exposure-lag-response effects between monthly climatic factors and human brucellosis. Results A total of 7103 cases of human brucellosis were reported from 2005 to 2018 in Yulin City with a distinct peak between April and July each year. Seasonal fluctuations in the transmission of human brucellosis were significantly affected by temperature, sunshine duration, and evaporation. The effects of climatic factors were non-linear over the 6-month period, and higher values of these factors usually increased disease incidence. The maximum separate relative risk (RR) was 1.36 (95% confidence interval [CI], 1.03-1.81) at a temperature of 17.4 °C, 1.12 (95% CI, 1.03-1.22) with 311 h of sunshine, and 1.18 (95% CI, 0.94-1.48) with 314 mm of evaporation. In addition, the effects of these three climatic factors were cumulative, with the highest RRs of 2.27 (95% CI, 1.09-4.57), 1.54 (95% CI, 1.10-2.18), and 1.27 (95% CI, 0.73-2.14), respectively. Conclusions In Yulin, northern China, variations in climatic factors, especially temperature, sunshine duration, and evaporation, contributed significantly to seasonal fluctuations of human brucellosis within 6 months. The key determinants of brucellosis transmission and the identified complex associations are useful references for developing strategies to reduce the disease burden. 
546 |a EN 
690 |a Human brucellosis 
690 |a Climatic factors 
690 |a Granger causality test 
690 |a Distributed lag non-linear models 
690 |a Quantitative associations 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Public Health, Vol 20, Iss 1, Pp 1-11 (2020) 
787 0 |n http://link.springer.com/article/10.1186/s12889-020-08599-4 
787 0 |n https://doaj.org/toc/1471-2458 
856 4 1 |u https://doaj.org/article/26d912466a8c4892a836a3e8873de6e1  |z Connect to this object online.