Association between distribution of bacillary dysentery and meteorological factors in Beijing, 2004-2015.
10.3760/cma.j.issn.0254-6450.2018.05.022
- Author:
Z DU
1
;
J ZHANG
;
J X LU
;
L P LU
Author Information
1. National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
- Publication Type:Journal Article
- Keywords:
Bacillary dysentery;
Correlation analysis;
Distribution characteristics;
Meteorological factor
- MeSH:
Beijing/epidemiology*;
Child;
China/epidemiology*;
Dysentery, Bacillary/epidemiology*;
Humans;
Incidence;
Linear Models;
Meteorological Concepts;
Multivariate Analysis;
Regression Analysis;
Sex Ratio;
Temperature
- From:
Chinese Journal of Epidemiology
2018;39(5):656-660
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To analyze the distribution characteristics of bacillary dysentery in Beijing during 2004-2015 and evaluate the influence of meteorological factors on the temporal and spatial distribution of bacillary dysentery. Methods: The incidence data of bacterial dysentery and meteorological data in Beijing from 2004 to 2015 were collected. Descriptive epidemiological analysis was conducted to study the distribution characteristics of bacterial dysentery. Linear correlation analysis and multiple linear regression analysis were carried out to investigate the relationship between the incidence of bacillary dysentery and average precipitation, average air temperature, sunshine hours, average wind speed, average air pressure, gale and rain days. Results: A total of 280 704 cases of bacterial dysentery, including 36 deaths, were reported from 2004 to 2015 in Beijing, the average annual incidence was 130.15/100 000. The annual incidence peak was mainly between May and October, the cases occurred during this period accounted for 80.75% of the total, and the incidence was highest in age group 0 year. The population distribution showed that most cases were children outside child care settings and students, and the sex ratio of the cases was 1.22∶1. The reported incidence of bacillary dysentery was positively associated with average precipitation, average air temperature and rain days with the correlation coefficients of 0.931, 0.878 and 0.888, but it was negatively associated with the average pressure, the correlation coefficient was -0.820. Multiple linear regression equation for fitting analysis of bacillary dysentery and meteorological factors was Y=3.792+0.162X(1). Conclusion: The reported incidence of bacillary dysentery in Beijing was much higher than national level. The annual incidence peak was during July to August, and the average precipitation was an important meteorological factor influencing the incidence of bacillary dysentery.
