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Effects of Air Pollution and Other Environmental Exposures on Estimates of Severe Influenza Illness, Washington, USA

机译:空气污染和其他环境暴露对美国华盛顿州严重流感疾病估算的影响

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Ecologic models of influenza burden may be confounded by other exposures that share winter seasonality. We evaluated the effects of air pollution and other environmental exposures in ecologic models estimating influenza-associated hospitalizations. We linked hospitalization data, viral surveillance, and environmental data, including temperature, relative humidity, dew point, and fine particulate matter for 3 counties in Washington, USA, for 2001-2012. We used negative binomial regression models to estimate the incidence of influenza-associated respiratory and circulatory (RC) hospitalizations and to assess the effect of adjusting for environmental exposures on RC hospitalization estimates. The modeled overall incidence rate of influenza-associated RC hospitalizations was 31/100,000 person-years. The environmental parameters were statistically associated with RC hospitalizations but did not appreciably affect the event rate estimates. Modeled influenza-associated RC hospitalization rates were similar to published estimates, and inclusion of environmental covariates in the model did not have a clinically important effect on severe influenza estimates.
机译:流感负担的生态模型可能会被其他曝光共享冬季季节性的曝光。我们评估了空气污染和其他环境暴露在估计流感相关住院病的生态模型中的影响。我们将住院数据,病毒监测和环境数据联系在一起,包括3个县的温度,相对湿度,露点,2001-2012。我们使用了负二项式回归模型来估算流感相关呼吸和循环(RC)住院的发病率,并评估调整环境暴露对RC住院估计的影响。流感相关的RC住院的模型出发率为31 / 100,000人。环境参数与RC住院相关的统计学相关,但没有明显影响事件率估算。建模的流感相关的RC住院率类似于已发表的估计,并且在模型中包含环境协变量对严重流感估计没有临床重要影响。

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