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Prevalence of hemorrhagic fever with renal syndrome in Yiyuan County, China, 2005–2014

机译:2005-2014年中国沂源县肾综合征出血热患病率

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Hemorrhagic fever with renal syndrome (HFRS) is highly endemic in mainland China, where human cases account for 90?% of the total global cases. Yiyuan County is one of the most serious affected areas in China. Therefore, there is an urgent need for monitoring and predicting HFRS incidence in Yiyuan to make the control of HFRS more effective. The study was based on the reported cases of HFRS from the National Notifiable Disease Surveillance System. The demographic and spatial distributions of HFRS in Yiyuan were established. Then we fit autoregressive integrated moving average (ARIMA) models and predict the HFRS epidemic trend. There were 362 cases reported in Yiyuan during the 10-year study period. The human infections in the fall and winter reflected a seasonal characteristic pattern of Hantaan virus (HTNV) transmission. The best model was ARIMA (2, 1, 1)?×?(0, 1, 1)12 (AIC value 516.86) with a high validity. The ARIMA model fits the fluctuations in HFRS frequency and it can be used for future forecasting when applied to HFRS prevention and control.
机译:肾综合征出血热(HFRS)在中国大陆是地方性流行病,人类病例占全球总病例的90%。沂源县是中国受灾最严重的地区之一。因此,迫切需要监测和预测沂源地区的HFRS发病率,以使HFRS的控制更加有效。这项研究基于国家法定疾病监测系统报告的HFRS病例。建立了沂源市HFRS的人口统计和空间分布。然后,我们拟合自回归综合移动平均线(ARIMA)模型并预测HFRS的流行趋势。在为期10年的研究期内,宜源市报告了362例病例。秋冬季节的人类感染反映了汉坦病毒(HTNV)传播的季节性特征。最好的模型是ARIMA(2,1,1)?×?(0,1,1)12(AIC值516.86),具有很高的有效性。 ARIMA模型适合HFRS频率的波动,当应用于HFRS预防和控制时,可用于将来的预测。

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