Study on the association between temperature and the risk of injuries by animals in Guangdong Province
10.3760/cma.j.cn112338-20240910-00565
- VernacularTitle:广东省气温与动物伤害发生的关联研究
- Author:
Weiquan ZENG
1
;
Yanjun XU
;
Aga ZHENG
;
Jianxiong HU
;
Yuan FANG
;
Mengen GUO
;
Keqing LIANG
;
Shanghui YE
;
Qijiong ZHU
;
Guanhao HE
;
Tao LIU
;
Ruilin MENG
;
Wenjun MA
Author Information
1. 暨南大学基础医学与公共卫生学院预防医学系，广州 510632
- Publication Type:Journal Article
- Keywords:
Animal injury;
Temperature;
Distributed lag nonlinear model
- From:
Chinese Journal of Epidemiology
2025;46(4):587-595
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To assess the association between temperature and risk of animal injury, and identifying vulnerable populations.Methods:Based on a time-stratified case-crossover design, the number of animal injuries monitored in hospitals of Guangdong Provincial Injury Surveillance System in 2011 and 2015-2016 was included, and the daily meteorological data were derived from the fifth generation of European ReAnalysis-Land, which was produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression combined with a distributed lagged nonlinear model was applied to analyze the association of temperature and animal-specific injuries. We also conducted stratified analysis by region, sex, age, occupation, and location of injury occurrence.Results:There was an almost linear relationship between temperature and the occurrence of animal injury. The excess risk ( ER) of animal injury was 2.65% (95% CI: 2.27%-3.04%) for a 1 ℃ rise in temperature with much higher risk of occurrence ( ER=9.34%, 95% CI: 7.57%-11.13%) for non-mammalian injury than that for mammalian injuries ( ER=2.30%, 95% CI: 1.90%-2.70%). Stratified analysis revealed that the occurrence of animal injury was more susceptible to temperature influences in urban ( ER=2.78%, 95% CI: 2.35%-3.21%), female ( ER=2.71%, 95% CI: 2.16%-3.27%), the elderly aged 60 years and above ( ER=3.05%, 95% CI: 1.65%- 4.47%), farmer ( ER=4.66%, 95% CI: 3.03%-6.32%) and agricultural area ( ER=10.63%, 95% CI: 7.57%-13.79%) than their correspondents. In terms of mammalian injury, dog bites showed the highest risk ( ER=2.71%, 95% CI: 2.12%-3.30%). In terms of non-mammalian,snake injuries were highly influenced by temperature ( ER=16.74%, 95% CI: 11.33%-22.40%). Conclusions:The ambient temperature rises could increase the risk of animal injury with much higher risk for non-mammalian than that for mammalian injuries. Our findings suggest that global warming may increase the risk and disease burden from animal injuries.
