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Time series modelling of respiratory hospital admissions and geometrically weighted distributed lag effects from ambient particulate air pollution within Kathmandu Valley, Nepal

机译:尼泊尔加德满都谷地呼吸系统医院入院的时间序列建模和环境颗粒物空气污染的几何加权分布滞后效应

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摘要

The distributed lag effects of ambient particulate air pollution exposure on respiratory hospital admissions in Kathmandu Valley are modelled using daily time series data. The extended exposure to PM_(10) is accounted for by assigning weights to daily average PM_(10) which decline geometrically as the lag period increases in days. Results show that the percent increase in chronic obstructive pulmonary disease (COPD) hospital admissions and respiratory admissions including COPD, asthma, pneumonia, and bronchitis per 10 μg/m~3 rise in PM_(10) are found to be 4.85% for 30 days lag effect, about 15.9% higher than that observed for same-day lag effect and 3.52% for 40 days lag effect, about 28.9% higher than the observed value for same-day lag effect, respectively.
机译:使用每日时间序列数据对环境颗粒物空气污染暴露对加德满都谷地呼吸系统医院入院的分布滞后效应进行建模。通过将权重分配给每日平均PM_(10)来解决对PM_(10)的扩展暴露,这些权重会随着滞后期在几天中的增加而几何下降。结果显示,每10μg/ m〜3 PM_(10)升高,慢性阻塞性肺疾病(COPD)住院和呼吸系统疾病(包括COPD,哮喘,肺炎和支气管炎)的增加百分数为30天的4.85%。滞后效应,比当天滞后效应高约15.9%,40天滞后效应高3.52%,比当天滞后效应高28.9%。

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