Epidemiology of spatiotemporal distribution of respiratory bacterial infections in Sanmenxia City in 2012 - 2022
10.3969/j.issn.1006-2483.2024.04.016
- VernacularTitle:2012—2022年三门峡市呼吸道细菌感染时空分布流行病学分析
- Author:
Ruihua SUN
1
;
Jinman WEI
1
;
Pingping YANG
1
;
Lihua LI
1
;
Chong ZHU
1
Author Information
1. Yellow River Sanmenxia Hospital Laboratory Department , Sanmenxia , Henan 472000 , China
- Publication Type:Journal Article
- Keywords:
Respiratory bacterial infection;
Spatial autocorrelation analysis;
Epidemiology
- From:
Journal of Public Health and Preventive Medicine
2024;35(4):66-69
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the spatiotemporal distribution characteristics of respiratory bacterial infections in Sanmenxia City from 2012 to 2022, and explore key areas for respiratory infection prevention and control. Methods Respiratory bacterial infection cases admitted to our hospital from 2012 to 2022 was collected, use OpenGeoDal software for spatial autocorrelation analysis, and SaTScan software for spatiotemporal scanning analysis. Results From 2012 to 2022, 8762 cases of respiratory bacterial infection were reported in Sanmenxia , with an average annual incidence of 173.47/100 000 and a standardized incidence of 132.63/100 000，and the overall incidence showed a downward trend (χ2=48.093，P<0.01). The incidence of respiratory tract bacterial infection has gender characteristics,the incidence of respiratory tract bacterial infection is the highest among people aged 50 years and above (P<0.05). There was no global spatial autocorrelation, and local autocorrelation results showed that the "high-high" clustering area was mainly located in Yima City. The spatiotemporal scanning results showed that the first level aggregation area was located in Yima City, with a time span of 2020-2022 and a radiation radius of 4.57 km (LLR=40.19, RR=3.27, P<0.001). Conclusion The overall trend of respiratory bacterial infections in Sanmenxia City is decreasing, and Yima City is a “high- high” gathering area, which is a key region to prevention and control.
