Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors

Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors

Abstract Background This study aimed to analyse the epidemiological characteristics of bacillary dysentery (BD) caused by Shigella in Chongqing, China, and to establish incidence prediction models based on the correlation between meteorological factors and BD, thus providing a scientific basis for t...

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Bibliographic Details
Main Authors: Qiuyu Meng, Xun Liu, Jiajia Xie, Dayong Xiao, Yi Wang, Dan Deng
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Environmental Health and Preventive Medicine
Subjects:
Shigella
Dysentery
Meteorological factors
Boruta algorithm
Genetic algorithm
Support vector regression
Online Access:https://doi.org/10.1186/s12199-019-0829-1

Internet

https://doi.org/10.1186/s12199-019-0829-1

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