细菌性痢疾
百分位
相对风险
置信区间
分布滞后
人口学
中国
入射(几何)
城市化
人口
地理
医学
平均辐射温度
环境卫生
痢疾
内科学
气候变化
统计
生物
数学
病理
社会学
考古
生态学
几何学
作者
Yanbin Hao,Wenmin Liao,Wanwan Ma,Jin Zhang,Na Zhang,Shuang Zhong,Zhe Wang,Lianping Yang,Cunrui Huang
标识
DOI:10.1016/j.scitotenv.2019.03.443
摘要
Rising ambient temperature is expected to increase incidence of bacillary dysentery (BD), but few studies have compared the temperature-BD effects of different age groups and cities in China, especially in a multi-city setting. We used city-specific data including BD cases and meteorological variables to determine the relationship between BD incidence and temperature at provincial level. Weekly BD disease surveillance data and meteorological variables were collected in all 16 prefecture-level cities in Anhui Province of China. Firstly, city-specific weekly mean temperature-BD incidence associations were estimated with Distributed Lag Nonlinear Model (DLNM). Secondly, city-specific estimates were pooled at province-level through multivariate meta-analysis. Also, we conducted subgroup analyses for ages (children <5 years old and population of other ages) and urbanization of cities (high and low level), respectively. In Anhui, BD morbidity risk increased with increasing weekly mean temperature. Relative risks (RR) at the 90th percentile (27.5 °C) versus the 50th percentile (17 °C) of weekly mean temperature were 1.42 (95% confidence interval (CI): 1.16, 1.75) and 2.02 (95% CI: 1.76, 2.32) for children <5 and population of other ages, respectively. The relative risk of high temperature on other ages group was higher than that of children under five years old (p = 0.006). Children under 5 in high urbanized cities appeared to be more vulnerable to the effects of ambient high temperature (RR: 1.56, 95% CI: 1.20, 1.92) than in low urbanized cities (RR: 1.01, 95% CI: 0.70, 1.46), the difference between two intervals was statistically significant (p = 0.044). This study suggests that high temperatures may be an important trigger of BD incidence, and especially lead to a substantial burden of BD for high urbanized cities in Anhui Province of China.
科研通智能强力驱动
Strongly Powered by AbleSci AI