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Open Access 01-12-2020 | Research article

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

Published in: BMC Public Health | Issue 1/2020

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.

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Hueffer K, Parkinson AJ, Gerlach R, Berner J. Zoonotic infections in Alaska: disease prevalence, potential impact of climate change and recommended actions for earlier disease detection, research, prevention and control. Int J Circumpolar Health. 2013;72. https://doi.org/10.3402/ijch.v72i0.19562.

Dadar M, Shahali Y, Whatmore AM. Human brucellosis caused by raw dairy products: a review on the occurrence, major risk factors and prevention. Int J Food Microbiol. 2019;292:39–47. https://doi.org/10.1016/j.ijfoodmicro.2018.12.009.CrossRefPubMed

Lai S, Zhou H, Xiong W, Gilbert M, Huang Z, Yu J, et al. Changing epidemiology of human brucellosis, China, 1955-2014. Emerging Infect Dis. 2017;23(2):184–94. https://doi.org/10.3201/eid2302.151710.CrossRefPubMedPubMedCentral

Lou P, Wang L, Zhang X, Xu J, Wang K. Modelling Seasonal Brucellosis Epidemics in Bayingolin Mongol Autonomous Prefecture of Xinjiang, China, 2010–2014. Biomed Res Int. 2016;2016:5103718. https://doi.org/10.1155/2016/5103718.CrossRefPubMedPubMedCentral

Nematollahi S, Ayubi E, Karami M, Khazaei S, Shojaeian M, Zamani R, et al. Epidemiological characteristics of human brucellosis in Hamadan Province during 2009-2015: results from the National Notifiable Diseases Surveillance System. Int J Infect Dis. 2017;61:56–61. https://doi.org/10.1007/s11250-013-0375-6.CrossRefPubMed

Chen Q, Lai S, Yin W, Zhou H, Li Y, Mu D, et al. Epidemic characteristics, high-risk townships and space-time clusters of human brucellosis in Shanxi Province of China, 2005-2014. BMC Infect Dis. 2016;16(1):760. https://doi.org/10.1186/s12879-016-2086-x.CrossRefPubMedPubMedCentral

Li YJ, Li XL, Liang S, Fang LQ, Cao WC. Epidemiological features and risk factors associated with the spatial and temporal distribution of human brucellosis in China. BMC Infect Dis. 2013;13(547):1–12. https://doi.org/10.1186/1471-2334-13-547.CrossRef

Shang DQ, Xiao DL, Yin JM. Epidemiology and control of brucellosis in China. Vet Microbiol. 2002;90:165–82. https://doi.org/10.1016/s0378-1135(02)00252-3.CrossRef

Guan P, Wu W, Huang D. Trends of reported human brucellosis cases in mainland China from 2007 to 2017: an exponential smoothing time series analysis. Environ Health Prev Med. 2018;23(1):23. https://doi.org/10.1186/s12199-018-0712-5.CrossRefPubMedPubMedCentral

10.

Rodriguez-Morales AJ. Climate change, climate variability and brucellosis. Recent Pat Antiinfect Drug Discov. 2013;8(1):4–12. https://doi.org/10.2174/1574891x11308010003.CrossRefPubMed

11.

Zhu HS, Wang FL, Lin DH, Hong ST, Ou JM, Chen W, et al. Analysis on epidemiology and spatial-temporal clustering of human brucellosis in Fujian province, 2011–2016. Chin J Epidemiol. 2017;38(9):1212–7. https://doi.org/10.3760/cma.j.issn.0254-6450.2017.09.014.CrossRef

12.

Yang ZR, Li X, Shao ZJ, Ma WT, Yuan XJ, Wu KJ, et al. Characteristics on spatial and temporal distribution as well as the driving effect of meteorological factors on brucellosis in Datong city, Shanxi province, 2005-2015. Chin J Epidemiol. 39(9):1165–71. https://doi.org/10.3760/cma.j.issn.0254-6450.2018.09.005.

13.

Gasparrini A, Armstrong B, Kenward MG. Distributed lag non-linear models. Stat Med. 2010;29(21):2224–34. https://doi.org/10.1002/sim.3940.CrossRefPubMedPubMedCentral

14.

Gasparrini A. Distributed Lag Linear and Non-Linear Models in R: The Package dlnm. J Stat Softw. 2011;43(8):1–20. https://doi.org/10.18637/jss.v043.i08.CrossRefPubMedPubMedCentral

15.

Chen WJ, Lai SJ, Yang Y, Liu K, Li XL, Yao HW, et al. Mapping the distribution of Anthrax in mainland China, 2005–2013. PLoS Negl Trop Dis. 2016;10(4):e0004637. https://doi.org/10.1371/journal.pntd.0004637.CrossRefPubMedPubMedCentral

16.

Sun RX, Lai SJ, Yang Y, Li XL, Liu K, Yao HW, et al. Mapping the distribution of tick-borne encephalitis in mainland China. Ticks Tick-borne Dis. 2017;8(4):631–9. https://doi.org/10.1016/j.ttbdis.2017.04.009.CrossRefPubMed

17.

Xiang J, Hansen A, Liu Q, Tong MX, Liu X, Sun Y, et al. Impact of meteorological factors on hemorrhagic fever with renal syndrome in 19 cities in China, 2005-2014. Sci Total Environ. 2018;636:1249–56. https://doi.org/10.1016/j.scitotenv.2%20018.04.407.CrossRefPubMed

18.

Morin CW, Semenza JC, Trtanj JM, Glass GE, Boyer C, Ebi KL. Unexplored opportunities: use of climate- and weather-driven early warning systems to reduce the burden of infectious diseases. Curr Environ Health Rep. 2018;5(4):430–8. https://doi.org/10.1007/s40572-018-0221-0.CrossRefPubMed

19.

Yang L, Bi ZW, Kou ZQ, Li XJ, Zhang M, Wang M, et al. Time-series analysis on human brucellosis during 2004-2013 in Shandong Province, China. Zoonoses Public Health. 2015;62(3):228–35. https://doi.org/10.1111/zph.12145.CrossRefPubMed

20.

Iguchi JA, Seposo XT, Honda Y. Meteorological factors affecting dengue incidence in Davao, Philippines. BMC Public Health. 2018;18(1):629.CrossRef

21.

Chien LC, Yu HL. Impact of meteorological factors on the spatiotemporal patterns of dengue fever incidence. Environ Int. 2014;73:46–56. https://doi.org/10.1016/j.%20envint.%202014.06.018.CrossRefPubMed

22.

Hu W, Li Y, Han W, Xue L, Zhang W, Ma W, Bi P. Meteorological factors and the incidence of mumps in Fujian Province, China, 2005-2013: Non-linear effects. Sci Total Environ. 2018;619–620:1286–98. https://doi.org/10.1016/j.scitotenv.%202017.11.108.CrossRefPubMed

23.

Kim YM, Park JW, Cheong HK. Estimated effect of climatic variables on the transmission of plasmodium vivax malaria in the Republic of Korea. Environ Health Perspect. 2012;120(9):1314–9. https://doi.org/10.1289/ehp.1104577.CrossRefPubMedPubMedCentral

24.

Xiao Y, He L, Chen Y, Wang Q, Meng Q, Chang W, et al. The influence of meteorological factors on tuberculosis incidence in Southwest China from 2006 to 2015. Sci Rep. 2018;8(1):10053. https://doi.org/10.1038/s41598-018-28426-6.CrossRefPubMedPubMedCentral

25.

Yu G, Li Y, Cai J, Yu D, Tang J, Zhai W, et al. Short-term effects of meteorological factors and air pollution on childhood hand-foot-mouth disease in Guilin. China Sci Total Environ. 2019;646:460–70. https://doi.org/10.1016/j.scitotenv.2018.07.329.CrossRefPubMed

26.

Lee HS, Her M, Levine M, Moore GE. Time series analysis of human and bovine brucellosis in South Korea from 2005 to 2010. Prev Vet Med. 2013;110(2):190–7. https://doi.org/10.1016/j.prevetmed.2012.12.003.CrossRefPubMed

27.

Oseguera Montiel D, Frankena K, Udo H, Keilbach Baer NM, Van der Zijpp A. Prevalence and risk factors for brucellosis in goats in areas of Mexico with and without brucellosis control campaign. Trop Anim Health Prod. 2013;45(6):1383–9. https://doi.org/10.1007/s11250-013-0375-6.CrossRefPubMed

28.

Li XC, JF H. Study on the status and countermeasures of grass industry formation and sheep raising in Yulin City. J Yulin College. 2007;16:1–3.

29.

Bai CS, Liu JP, YQ X: Practice in the progressive control path of brucellosis based on risk factors analysis. Chin Anim Heal Inspect 2017, 34:5–9. DOI:https://doi.org/10.3969/j.issn.1005-944X.2017.12.00.

30.

Zeng LJ, Yang WW, Tie P, Liu XR, Gao XR, Li ZY, et al. Investigation of human brucellosis diagnosis and report quality in medical institutions in key areas of Shanxi province. Chin J Epidemiol 2017, 38(11):1480–1483. DOI:https://doi.org/10.3760/cma.j.issn.0254-6450.2017.11.008.

Title: 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
Publication date: 01-12-2020
Publisher: BioMed Central
Published in: BMC Public Health / Issue 1/2020
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-020-08599-4

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Springer Medicine

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

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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