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气象因素对中国西南地区日本脑炎传播的非线性和阈值效应。

Nonlinear and Threshold Effect of Meteorological Factors on Japanese Encephalitis Transmission in Southwestern China.

机构信息

1Department of Personnel, Qilu Hospital of Shandong University, Jinan, People's Republic of China.

2Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.

出版信息

Am J Trop Med Hyg. 2020 Dec;103(6):2442-2449. doi: 10.4269/ajtmh.20-0040. Epub 2020 Oct 22.

Abstract

Although previous studies have reported that meteorological factors might affect the risk of Japanese encephalitis (JE), the relationship between meteorological factors and JE remains unclear. This study aimed to evaluate the relationship between meteorological factors and JE and identify the threshold temperature. Daily meteorological data and JE surveillance data in Dazhou, Sichuan, were collected for the study period from 2005 to 2012 (restricting to May-October because of the seasonal distribution of JE). A distributed lag nonlinear model was used to analyze the lagged and cumulative effect of daily average temperature and daily rainfall on JE transmission. A total of 622 JE cases were reported over the study period. We found JE was positively associated with daily average temperature and daily rainfall with a 25-day lag and 30-day lag, respectively. The threshold value of the daily average temperature is 20°C. Each 5°C increase over the threshold would lead to a 13% (95% CI: 1-17.3%) increase in JE. Using 0 mm as the reference, a daily rainfall of 100 mm would lead to a 132% (95% CI: 73-311%) increase in the risk of JE. Japanese encephalitis is climate-sensitive; meteorological factors should be taken into account for the future prevention and control measure making, especially in a warm and rainy weather condition.

摘要

尽管先前的研究报告称气象因素可能会影响日本脑炎 (JE) 的风险,但气象因素与 JE 之间的关系仍不清楚。本研究旨在评估气象因素与 JE 之间的关系,并确定温度阈值。收集了四川达州 2005 年至 2012 年(由于 JE 的季节性分布,限制在 5 月至 10 月)期间的每日气象数据和 JE 监测数据。使用分布式滞后非线性模型分析了日平均温度和日降雨量对 JE 传播的滞后和累积效应。在研究期间共报告了 622 例 JE 病例。我们发现 JE 与日平均温度和日降雨量呈正相关,滞后时间分别为 25 天和 30 天。日平均温度的阈值为 20°C。超过阈值每增加 5°C,JE 会增加 13%(95%CI:1-17.3%)。以 0mm 为参考,日降雨量为 100mm 时,JE 的风险会增加 132%(95%CI:73-311%)。日本脑炎对气候敏感;未来应考虑气象因素来制定预防和控制措施,尤其是在温暖多雨的天气条件下。

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