Chen Yucun, Yang Shihong, Hua Jin, Pan Liyang, Ji Chenglin, Zhang Zhen, Chang Zhaorui. Analysis on epidemiological characteristics of human brucellosis and influencing factors of delayed diagnosis in Dalian of Liaoning, 2006−2022[J]. Disease Surveillance, 2024, 39(8): 995-1000. DOI: 10.3784/jbjc.202308160421
Citation: Chen Yucun, Yang Shihong, Hua Jin, Pan Liyang, Ji Chenglin, Zhang Zhen, Chang Zhaorui. Analysis on epidemiological characteristics of human brucellosis and influencing factors of delayed diagnosis in Dalian of Liaoning, 2006−2022[J]. Disease Surveillance, 2024, 39(8): 995-1000. DOI: 10.3784/jbjc.202308160421

Analysis on epidemiological characteristics of human brucellosis and influencing factors of delayed diagnosis in Dalian of Liaoning, 2006−2022

  • Objective To analyze the epidemiological characteristics of human brucellosis in Dalian, identify key populations and key areas and provide evidence for the development of targeted intervention measures.
    Methods The incidence data of human brucellosis in Dalian during 2006–2008 were collected from the National Notifiable Infectious Disease Reporting System of Chinese Center for Disease Control and Prevention. Descriptive epidemiological methods were used to analyze the incidence trend, demographic characteristics, spatial distribution and diagnosis or reporting of human brucellosis. The factors causing diagnosis delay were analyzed by using logistic regression model, and the spatial autocorrelation and clustering analysis were performed with ArcGIS 10.8.
    Results From 2006 to 2022, the incidence of human brucellosis increased in Dalian, with an average annual increase of 25.89%. The incidence peak occurred in spring and summer. More cases occurred in men than in women (2.59:1). The cases were mainly people aged 45–59 years (44.23%). The distribution of cases gradually expanded, and 87.26% of streets (townships) had cases reported. Local spatial auto-correlation analysis showed that the highly clustering areas were always in Wafangdian. The diagnosis delay rate was 60.68%. Multivariate logistic regression analysis showed that the type of hospital odds ratio (OR)=0.68, 95% confidence interval(CI): 0.56–0.83, P<0.05 and the year of case reporting (OR=1.34, 95%CI: 1.11–1.62, P<0.05) were associated with the delayed diagnosis.
    Conclusion The incidence of human brucellosishowed an obvious upward trend in Dalian, and the diagnosis delay rate was high. It is necessary to take targeted intervention measures timely, strengthen health education to improve the awareness of medical care seeking of the patients and improve the diagnosis level of primary medical staff to reduce the prevalence of chronic brucellosis due to delayed diagnosis.
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