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基于地理信息系统的印度德里地区空气污染与急性呼吸道症状患者急诊就诊情况制图:2018 年 3 月至 2019 年 2 月期间的研究

Geographic information system-based mapping of air pollution & emergency room visits of patients for acute respiratory symptoms in Delhi, India (March 2018-February 2019).

机构信息

Department of Pediatrics, All India Institute of Medical Science, New Delhi, India.

Centre of Excellence for Translational Research in Asthma and Lung Diseases, CSIR-Institute of Genomics & Integrative Biology; New Delhi; Department of Biological Sciences, Academy of Scientific & Innovative Research, Ghaziabad, Uttar Pradesh, India.

出版信息

Indian J Med Res. 2022 Oct-Nov;156(4&5):648-658. doi: 10.4103/ijmr.IJMR_136_21.

Abstract

BACKGROUND & OBJECTIVES: Studies assessing the spatial and temporal association of ambient air pollution with emergency room visits of patients having acute respiratory symptoms in Delhi are lacking. Therefore, the present study explored the relationship between spatio-temporal variation of particulate matter (PM) concentrations and air quality index (AQI) with emergency room (ER) visits of patients having acute respiratory symptoms in Delhi using the geographic information system (GIS) approach.

METHODS

The daily number of ER visits of patients having acute respiratory symptoms (less than or equal to two weeks) was recorded from the ER of four hospitals of Delhi from March 2018 to February 2019. Daily outdoor PM concentrations and air quality index (AQI) were obtained from the Delhi Pollution Control Committee. Spatial distribution of patients with acute respiratory symptoms visiting ER, PM concentrations and AQI were mapped for three seasons of Delhi using ArcGIS software.

RESULTS

Of the 70,594 patients screened from ER, 18,063 eligible patients were enrolled in the study. Winter days had poor AQI compared to moderate and satisfactory AQI during summer and monsoon days, respectively. None of the days reported good AQI (<50). During winters, an increase in acute respiratory ER visits of patients was associated with higher PM concentrations in the highly polluted northwest region of Delhi. In contrast, a lower number of acute respiratory ER visits of patients were seen from the 'moderately polluted' south-west region of Delhi with relatively lower PM concentrations.

INTERPRETATION & CONCLUSIONS: Acute respiratory ER visits of patients were related to regional PM concentrations and AQI that differed during the three seasons of Delhi. The present study provides support for identifying the hotspots and implementation of focused, intensive decentralized strategies to control ambient air pollution in worst-affected areas, in addition to the general city-wise strategies.

摘要

背景与目的

德里缺乏评估环境空气污染与急性呼吸症状患者急诊就诊的时空关联的研究。因此,本研究使用地理信息系统(GIS)方法探讨了德里大气颗粒物(PM)浓度和空气质量指数(AQI)的时空变化与急性呼吸症状患者急诊就诊之间的关系。

方法

2018 年 3 月至 2019 年 2 月,从德里四家医院的急诊室记录了急性呼吸症状(两周内)患者的每日急诊就诊人数。每日户外 PM 浓度和空气质量指数(AQI)从德里污染控制委员会获得。使用 ArcGIS 软件绘制了德里三个季节的急性呼吸症状患者就诊、PM 浓度和 AQI 的空间分布。

结果

从急诊室筛选的 70594 名患者中,有 18063 名符合条件的患者纳入研究。与夏季和雨季相比,冬季的 AQI 较差,而与夏季和雨季相比,冬季的 AQI 较差。没有一天报告 AQI 良好(<50)。冬季,德里污染最严重的西北部地区 PM 浓度较高时,急性呼吸症状患者的急诊就诊人数增加。相比之下,德里污染程度适中的西南部地区 PM 浓度较低,与急性呼吸症状患者急诊就诊人数较少有关。

解释与结论

患者的急性呼吸急诊就诊与德里三个季节的区域 PM 浓度和 AQI 有关。本研究为确定热点地区以及实施有针对性、集中的分散化策略提供了支持,以控制受影响最严重地区的环境空气污染,除了一般的全市性策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65cd/10231737/9d50d0555fa5/IJMR-156-648-g001.jpg

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