Study on the classification of dominant pathogens related to febrile respiratory syndrome, based on the method of Bayes discriminant analysis
10.3760/cma.j.issn.0254-6450.2017.08.019
- VernacularTitle:甘肃省2009-2015年发热呼吸道症候群主要病原的Bayes判别分析法分类研究
- Author:
Xuechao LI
1
;
Juansheng LI
;
Lei MENG
;
Yana BAI
;
Deshan YU
;
Xiaoning LIU
;
Xinfeng LIU
;
Xiaojuan JIANG
;
Xiaowei REN
;
Xiaoting YANG
;
Xiping SHEN
;
Jiwei ZHANG
Author Information
1. 730000,兰州大学公共卫生学院流行病与卫生统计学研究所
- Keywords:
Febrile respiratory syndrome;
Bayes discriminate analysis;
Pathogeny
- From:
Chinese Journal of Epidemiology
2017;38(8):1094-1097
- CountryChina
- Language:Chinese
-
Abstract:
Objective To understand the dominant pathogens of febrile respiratory syndrome (FRS) patients in Gansu province and to establish the Bayes discriminant function in order to identify the patients infected with the dominant pathogens.Methods FRS patients were collected in various sentinel hospitals of Gansu province from 2009 to 2015 and the dominant pathogens were determined by describing the composition of pathogenic profile.Significant clinical variables were selected by stepwise discriminant analysis to establish the Bayes discriminant function.Results In the detection of pathogens for FRS,both influenza virus and rhinovirus showed higher positive rates than those caused by other viruses (13.79％,8.63％),that accounting for 54.38％,13.73％ of total viral positive patients.Most frequently detected bacteria would include Streptococcus pneumoniae,and haemophilus influenza (44.41％,18.07％) that accounting for 66.21％ and 24.55％ among the bacterial positive patients.The original-validated rate of discriminant function,established by 11 clinical variables,was 73.1％,with the cross-validated rate as 70.6％.Conclusion Influenza virus,Rhinovirus,Streptococcus pneumoniae and Haemophilus influenzae were the dominant pathogens of FRS in Gansu province.Results from the Bayes discriminant analysis showed both higher accuracy in the classification of dominant pathogens,and applicative value for FRS.
