北德里地区空气污染物、气象因素对花粉数量的影响及其与患者急诊就诊的关系

Raj Kumar, M. Kumar, Dheeresh Kumar, A. Mavi, Kamal Singh, P. Mrigpuri, Ravishankar Nagaraja
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引用次数: 0

摘要

背景:气象因素和环境空气污染物可能影响北德里地区的花粉数量,产生多种花粉,并可能影响呼吸系统疾病患者。目的:本研究旨在了解气象因素和环境空气污染物对花粉数量的影响及其与急诊就诊的关系。材料与方法:2015 - 2020年,采用体积式Burkard空气采样器采集大气花粉(采样24 h)。结果:近6年花粉总数(n = 461474), 2016年花粉总数最多(n = 85363)。在研究期间,3月和4月花粉数量较高(>500),但2015年和2017年10月花粉数量也超过了这一范围(>500)。2015-2020年,二氧化氮和二氧化碳与花粉数量呈负相关,差异有统计学意义(P < 0.05),二氧化硫与花粉数量呈正相关,差异有统计学意义(P < 0.05)。急诊次数最多的是2019年。花粉计数与急诊就诊仅在2015年呈正相关。结论:气象因素和环境空气污染物对花粉数量有显著影响,可能影响患者的就诊。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of air pollutants, meteorological factors on pollen counts, and its association with patients emergency hospital visits in the North Delhi region
BACKGROUND: Meteorological factors and environmental air pollutants may affect pollen counts in the North Delhi region that produce a variety of pollen and it may affect patients with respiratory illness. OBJECTIVE: This study was planned to see the effect of meteorological factors and environmental air pollutants on pollen counts and its association with emergency hospital visits. MATERIALS AND METHODS: From 2015 to 2020, atmospheric pollen was collected (24-h sampling) using a Volumetric Burkard Air Sampler. RESULTS: The total pollen count was (n = 461,474) in the last 6 years and the maximum pollen count was (n = 85,363) observed in the year 2016. Pollen count was high (>500) in the months of March and April during the study tenure, however, October month of the year 2015 and 2017 also crossed this range of pollen count (>500). During the years 2015–2020, nitrogen dioxide and carbon dioxide had a negative association with pollen count that was statistically significant (P < 0.05), but sulfur dioxide had a positive correlation that was statistically significant (P < 0.05). Maximum emergency hospital visits were in 2019. Pollen count positively correlated with emergency hospital visits only for the year 2015. CONCLUSION: This study concludes that meteorological factors and environmental air pollutants have a significant influence on the pollen counts that may affect the patient's hospital visits.
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