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Prediction, risk and control of anti-influenza drugs in the Yodo River Basin, Japan during seasonal and pandemic influenza using the transmission model for infectious disease

机译:基于传染病传播模型的日本淀川流域季节性和大流行性流感期间抗流感药物的预测,风险和控制

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摘要

To reduce the risk of producing an anti-influenza drug-resistant virus from wildfowl, it is important to estimate the concentrations of anti-influenza drugs in river water during an influenza pandemic and to evaluate the concentrations that keep river basins safe. We first created a newly designed infectious disease transmission model based on the Susceptible-Infected-Recovered model. This model was then applied to replicate the transitional changes of three representative anti-influenza drugs, oseltamivir (OS), oseltamivir carboxylate (OC), and zanamivir (ZAN), in the urban area of the Yodo River system, which is one of the major basins in Japan with a population of 12 million; this region contains nearly 10% of the country's flu cases during the seasonal influenza outbreaks between 1999 and 2010. The results showed high correlations between the estimated number of influenza cases and the concentrations of the three investigated anti-influenza drugs with the reported values. We then extended the application of the model to estimate the concentration level of these anti-influenza drugs during the several influenza pandemics. The maximum estimated concentrations for OS, OC, and ZAN were known to be 260-450 ng/L, 1500-2600 ng/L and 40-70 ng/L, respectively, at the peak of the influenza pandemic These results suggest that it is possible that a drug-resistant influenza virus can originate from wild mallard when there is a large-scale influenza pandemic. However, ozonation before discharge at sewage treatment plants is known to significantly reduce the release of such drugs into the aquatic environment to reduce the risk of a drug-resistant virus outbreak. It was also suggested that further environmental risk could be reduced by decreasing these concentrations further in river water.
机译:为了降低从野禽中产生抗流感病毒耐药性病毒的风险,重要的是估算流感大流行期间河水中抗流感药物的浓度,并评估保持流域安全的浓度。我们首先基于敏感感染恢复模型创建了新设计的传染病传播模型。然后将该模型应用于在淀河系统市区(这是其中之一)中复制三种代表性的抗流感药物奥司他韦(OS),奥司他韦羧酸盐(OC)和扎那米韦(ZAN)的过渡变化的方法。人口1200万的日本主要流域;在1999年至2010年的季节性流感爆发期间,该地区包含了该国近10%的流感病例。结果显示,估计的流感病例数与所研究的三种抗流感药物的浓度与报告的值之间存在高度相关性。然后,我们扩展了模型的应用范围,以估计几种流感大流行期间这些抗流感药物的浓度水平。在流感大流行的高峰期,已知的OS,OC和ZAN的最大估计浓度分别为260-450 ng / L,1500-2600 ng / L和40-70 ng / L。当发生大规模流感大流行时,耐药的流感病毒可能源自野生野鸭。但是,已知在污水处理厂排放之前进行臭氧处理可以显着减少此类药物向水生环境中的释放,从而降低抗药性病毒爆发的风险。还建议通过进一步降低河水中的这些浓度可以降低进一步的环境风险。

著录项

  • 来源
    《Science of the total environment》 |2015年第15期|68-74|共7页
  • 作者单位

    Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, 1-2 Yumihama, Otsu, Shiga 520-0811, Japan,Graduate School of Pharmaceutical Sciences, Osaka University of Pharmaceutical Sciences, 4-20-1 Nasahara, Takatsuki, Osaka 569-1094, Japan;

    Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, 1-2 Yumihama, Otsu, Shiga 520-0811, Japan;

    Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, 1-2 Yumihama, Otsu, Shiga 520-0811, Japan;

    Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, 1-2 Yumihama, Otsu, Shiga 520-0811, Japan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Tamiflu; Relenza; River water environment; Mathematical epidemic models; Drug-resistant influenza virus; Wildfowls; Ozonation; Sewage treatment plant;

    机译:达菲Relenza;河流水环境;数学流行病模型;耐药流感病毒;野禽;臭氧化;污水处理厂;

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