The Effect of Ambient Temperature on Infectious Diarrhea and Diarrhea-like Illness in Wuxi, China

诺如病毒 腹泻 分布滞后 滞后 入射(几何) 医学 滞后时间 急性腹泻 攻击率 环境卫生 疾病 人口学 病毒 生物 内科学 病毒学 数学 人口 统计 社会学 生物系统 几何学 计算机科学 计算机网络
作者
Yumeng Gao,Yujun Chen,Peng Shi,Qi Zhang,Qi Cheng,Yihong Xiao,Weihong Feng,Yuan Shen,Chao Shi
出处
期刊:Disaster Medicine and Public Health Preparedness [Cambridge University Press]
卷期号:16 (2): 583-589 被引量:4
标识
DOI:10.1017/dmp.2020.340
摘要

The disease burden of infectious diarrhea cannot be underestimated. Its seasonal patterns indicate that weather patterns may play an important role and have an important effect on it. The objective of this study was to clarify the relationship between temperature and infectious diarrhea, and diarrhea-like illness.Distributed lag non-linear model, which was based on the definition of a cross-basis, was used to examine the effect.Viral diarrhea usually had high incidence in autumn-winter and spring with a peak at -6°C; Norovirus circulated throughout the year with an insignificant peak at 8°C, while related bacteria usually tested positive in summer and peaked at 22°C. The lag-response curve of the proportion of diarrhea-like cases in outpatient and emergency cases revealed that at -6°C, with the lag days increasing, the proportion increased. Similar phenomena were observed at the beginning of the curves of virus and bacterial positive rate, showing that the risk increased as the lag days increased, peaking on days 16 and 9, respectively. The shape of lag-response curve of norovirus positive rate was different from others, presenting m-type, with 2 peaks on day 3 and day 18.Weather patterns should be taken into account when developing surveillance programs and formulating relevant public health intervention strategies.

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