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2000年至2015年日本气象因素与手足口病报告病例之间的关联

Association between meteorological factors and reported cases of hand, foot, and mouth disease from 2000 to 2015 in Japan.

作者信息

Sumi A, Toyoda S, Kanou K, Fujimoto T, Mise K, Kohei Y, Koyama A, Kobayashi N

机构信息

Department of Hygiene,Sapporo Medical University School of Medicine,Hokkaido,Japan.

Department of Information Engineering,College of Industrial Technology,Hyogo,Japan.

出版信息

Epidemiol Infect. 2017 Oct;145(14):2896-2911. doi: 10.1017/S0950268817001820. Epub 2017 Aug 22.

Abstract

The purpose of this study was to clarify the association between hand, foot, and mouth disease (HFMD) epidemics and meteorological conditions. We used HFMD surveillance data of all 47 prefectures in Japan from January 2000 to December 2015. Spectral analysis was performed using the maximum entropy method (MEM) for temperature-, relative humidity-, and total rainfall-dependent incidence data. Using MEM-estimated periods, long-term oscillatory trends were calculated using the least squares fitting (LSF) method. The temperature and relative humidity thresholds of HFMD data were estimated from the LSF curves. The average temperature data indicated a lower threshold at 12 °C and a higher threshold at 30 °C for risk of HFMD infection. Maximum and minimum temperature data indicated a lower threshold at 6 °C and a higher threshold at 35 °C, suggesting a need for HFMD control measures at temperatures between 6 and 35 °C. Based on our findings, we recommend the use of maximum and minimum temperatures rather than the average temperature, to estimate the temperature threshold of HFMD infections. The results obtained might aid in the prediction of epidemics and preparation for the effect of climatic changes on HFMD epidemiology.

摘要

本研究的目的是阐明手足口病(HFMD)疫情与气象条件之间的关联。我们使用了2000年1月至2015年12月日本47个县的手足口病监测数据。对温度、相对湿度和总降雨量相关的发病率数据,采用最大熵方法(MEM)进行频谱分析。利用MEM估计的周期,采用最小二乘法拟合(LSF)方法计算长期振荡趋势。根据LSF曲线估计手足口病数据的温度和相对湿度阈值。平均温度数据表明,手足口病感染风险的较低阈值为12℃,较高阈值为30℃。最高和最低温度数据表明,较低阈值为6℃,较高阈值为35℃,这表明在6至35℃之间的温度下需要采取手足口病控制措施。基于我们的研究结果,我们建议使用最高和最低温度而非平均温度来估计手足口病感染的温度阈值。所得结果可能有助于预测疫情,并为气候变化对手足病流行病学的影响做好准备。

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