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A study on the epidemiological characteristics and risk factors of severe fever with thrombocytopenia syndrome in Zhoushan City / 预防医学
Journal of Preventive Medicine ; (12): 1-4,10, 2017.
Article in Zh | WPRIM | ID: wpr-792574
Responsible library: WPRO
ABSTRACT
Objective To learn the epidemiological characteristics and risk factors of severe fever with thrombocytopenia syndrome(SFTS)in Zhoushan City from 2011 to 2015. Methods The descriptive epidemiological analysis was used to analyze the epidemiological characteristics and a case - control study was applied to analyze the risk factors. Results A total of 95 SFTS cases including 9 dead cases were reported in Zhoushan City from 2011 to 2015. All of the 4 counties had cases reported,and the county with the highest reported rate was Daishan(91. 58% ). SFTS was seasonal obviously and the epidemic peak presented from May to July. The range of age for these SFTS cases was 40 to 88 years old,and over 50 years old were accounted for 92. 53% . The sex ratio of male to female was 1∶ 1. 88,and the incidence density of SFTS in female was significantly higher than male(P ﹤ 0. 01). The main occupation were domestic unemployed(43. 16% )and farmers(35. 79% ). While using multivariate unconditional logistic regression analysis to filter the influencing factors,only working in the fields/ vegetable plots(OR = 2. 542,95% CI:1. 364 - 5. 621)and the outdoor sanitation(OR = 2. 873,95%CI:1. 462 - 5. 025)entered the final model. Conclusion The incidence of SFTS was mainly sporadic in Zhoushan City from 2011 to 2015 ,having obvious regional aggregation . The popular seasons were spring and summer . Working in the fields/ vegetable plots and the poor outdoor sanitation could be the risk factors of SFTS.
Key words
Full text: 1 Database: WPRIM Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: Zh Journal: Journal of Preventive Medicine Year: 2017 Document type: Article
Full text: 1 Database: WPRIM Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: Zh Journal: Journal of Preventive Medicine Year: 2017 Document type: Article