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对印度在新冠疫情期间产生的生物医疗废物以及马哈拉施特拉邦(新冠疫情前和新冠疫情后)的分析:一种基于地理信息系统的方法。

An investigation of the bio-medical waste produced in India during the COVID-19 pandemic and Maharashtra state (pre-COVID-19 and post-COVID-19) analysis: a GIS-based approach.

作者信息

Bagwan Wasim Ayub

机构信息

School of Rural Development, Tata Institute of Social Sciences, Tuljapur, 413601, Maharashtra, India.

出版信息

Res Health Serv Reg. 2023 Apr 28;2(1):8. doi: 10.1007/s43999-023-00023-9.

Abstract

BACKGROUND

The COVID-19 pandemic exerted substantial pressure on global healthcare systems and facilities, putting the lives of countless individuals at risk. In addition, the treatment of patients during the pandemic resulted in an unprecedented increase in the volume of medical waste generated, including biomedical waste (BMW) or healthcare waste (HCW), which poses a risk of infectious disease transmission. As the second most populous country in the world, India faced a severe challenge in managing its healthcare waste infrastructure during this time (2020-2021). Proper disposal of BMW was of utmost importance to prevent the spread of infectious agents and to safeguard public health.

METHODS

The environmental monitoring and management framework of the country is well planned and governed by the Central Pollution Control Board (CPCB), which carefully handles the BMW across the states and union territory of the country. Through the execution of Android based application named 'COVID19BMW', India has laid the foundation of identification, classification, data collection, and management regarding the BMW. Further, the temporal scale of BMW generation tracking was further improved from a monthly to a daily basis by using the COVID19BMW tool. This data was used to map the change taken place across the India. Additionally, by using Geographical Information System the BMW is mapped using Choropleth method.

RESULTS

The current study conducted a national-level analysis of BMW generated during the COVID-19 pandemic in India. The results revealed that, in the year 2020, the seven states and the National Capital Territory (NCT) of Delhi generated the highest amounts of BMW, with Gujarat, Maharashtra, Kerala, Karnataka, Tamil Nadu, Uttar Pradesh, and West Bengal being the top BMW generating states. Additionally, the change detection equation was used to map the changes. The investigation analysed the daily changes in BMW generation between 2020 and 2021 at the national level. The results indicated a significant decreasing trend of -50.35% in BMW generation per day. In the case of Maharashtra state, the change detection analysis for the pre-COVID-19 and post-COVID-19 pandemic periods showed an increased trend of approximately 32%. However, in 2021, a decreasing trend was observed, with a -2.23% reduction in BMW generation compared to 2020 on the daily basis of BMW generation. These findings suggest that the COVID-19 pandemic has influenced BMW generation of waste, and the results can provide insights for improving waste management policies and practices.

DISCUSSION

In this study, a Geographical Information System (GIS) was employed to create a mapped representation of the BMW data at national scale. Further, the study investigated changes in BMW generation in Maharashtra state during the COVID-19 pandemic. Analysis of changes in BMW generation revealed a pattern of BMW generation during the pandemic. The use of GIS technology to track these changes proved to be a valuable tool in providing a synoptic view of the overall BMW condition across India and identifying areas where infectious waste poses a significant threat. The visualisation of data using the GIS technique provided an easy means of identifying hotspots of BMW generation, which is more effective compared to a tabular format.

摘要

背景

新冠疫情给全球医疗系统和设施带来了巨大压力,使无数人的生命面临风险。此外,疫情期间对患者的治疗导致产生的医疗废物量空前增加,包括生物医疗废物(BMW)或医疗保健废物(HCW),这带来了传染病传播的风险。作为世界第二人口大国,印度在这一时期(2020 - 2021年)管理其医疗废物基础设施方面面临严峻挑战。妥善处置生物医疗废物对于防止传染源传播和保障公众健康至关重要。

方法

该国的环境监测和管理框架规划完善,由中央污染控制委员会(CPCB)负责管理,该委员会在全国各邦和联邦属地谨慎处理生物医疗废物。通过执行名为“COVID19BMW”的基于安卓的应用程序,印度奠定了生物医疗废物识别、分类、数据收集和管理的基础。此外,利用COVID19BMW工具,生物医疗废物产生量跟踪的时间尺度从每月进一步提高到每日。这些数据用于绘制印度各地发生的变化。此外,通过使用地理信息系统,采用分级统计图法对生物医疗废物进行映射。

结果

本研究对印度新冠疫情期间产生的生物医疗废物进行了国家级分析。结果显示,2020年,七个邦和德里国家首都辖区(NCT)产生的生物医疗废物量最高,古吉拉特邦、马哈拉施特拉邦、喀拉拉邦、卡纳塔克邦、泰米尔纳德邦、北方邦和西孟加拉邦是产生生物医疗废物最多的邦。此外,使用变化检测方程来绘制变化情况。该调查分析了2020年至2021年全国层面生物医疗废物产生量的每日变化。结果表明,每日生物医疗废物产生量显著下降趋势为 -50.35%。就马哈拉施特拉邦而言,新冠疫情前和后时期的变化检测分析显示出约32%的增长趋势。然而,在2021年,观察到下降趋势,与2020年相比,每日生物医疗废物产生量减少了 -2.23%。这些发现表明,新冠疫情影响了生物医疗废物的产生,研究结果可为改进废物管理政策和实践提供见解。

讨论

在本研究中,采用地理信息系统(GIS)在国家层面创建生物医疗废物数据的映射表示。此外,该研究调查了新冠疫情期间马哈拉施特拉邦生物医疗废物产生量的变化。对生物医疗废物产生量变化的分析揭示了疫情期间生物医疗废物产生的模式。事实证明,使用GIS技术跟踪这些变化是一个有价值的工具,可提供印度整体生物医疗废物状况的全景视图,并识别传染性废物构成重大威胁的区域。使用GIS技术对数据进行可视化提供了一种识别生物医疗废物产生热点的简便方法,与表格形式相比更有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0336/11281761/e9ca8d4feb3d/43999_2023_23_Fig1_HTML.jpg

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