154. Evaluation of Occupational Exposures at Medical Waste Treatment Facilities

1999 ◽  
Author(s):  
P.A. Jensen ◽  
K. Leese ◽  
E. Uhorchak ◽  
L. Hodson ◽  
M. Owen ◽  
...  
Keyword(s):  
Waste Treatment ◽  
Occupational Exposures ◽  
Medical Waste ◽  
Treatment Facilities

170. Evaluation of Occupational Exposures at Medical Waste Treatment Facilities

1999 ◽  
Author(s):  
P.A. Jensen ◽  
K. Leese ◽  
R. Uhorchak ◽  
L. Hodson ◽  
M. Owen ◽  
...  
Keyword(s):  
Waste Treatment ◽  
Occupational Exposures ◽  
Medical Waste ◽  
Treatment Facilities

Assessment of bio-medical waste before and during the emergency of novel Coronavirus disease pandemic in India: A gap analysis

2021 ◽  
pp. 0734242X2110214
Author(s):  
Rahul Rajak ◽  
Ravi Kumar Mahto ◽  
Jitender Prasad ◽  
Aparajita Chattopadhyay
Keyword(s):  
Tamil Nadu ◽  
Waste Treatment ◽  
Gap Analysis ◽  
Uttar Pradesh ◽  
Medical Waste ◽  
Government Organizations ◽  
Central Pollution Control Board ◽  
Treatment Facilities ◽  
The Government ◽  
Novel Coronavirus

Considering the widespread transmission of Coronavirus disease (COVID-19) globally, India is also facing the same crisis. As India already has inadequate waste treatment facilities, and the sudden outbreak of the COVID-19 virus has led to significant growth of Bio-medical waste (BMW), consequently safe disposal of a large quantity of waste has become a more serious concern. This study provides a comprehensive assessment of BMW of India before and during the COVID-19 pandemic. Additionally, this article highlights the gaps in the implementation of BMW rules in India. This study uses various government and non-government organizations, reports and data specifically from the Central Pollution Control Board (CPCB). The finding of the study demonstrated that most of the States/Union Territories (UTs) of India are lacking in terms of COVID-19 waste management. India has generated over 32,996 mt of COVID-19 waste between June and December 2020. During this period, Maharashtra (789.99 mt/month) is highest average generator of COVID-19 waste, followed by Kerala (459.86 mt/month), Gujarat (434.87 mt/month), Tamil Nadu (427.23 mt/month), Uttar Pradesh (371.39 mt/month), Delhi (358.83 mt/month) and West Bengal (303.15 mt/month), and others respectively. We draw attention to the fact that many gaps were identified with compliance of BMW management rules. For example, out of all 35 States/UTs, health care facilitates (HCFs), only eight states received authorization as per BMW management rules. Moreover, the government strictly restricted the practice of deep burials; however, 23 States/UTs are still using the deep burial methods for BMW disposal. The present research suggests that those States/UTs generated on an average of 100 mt/month COVID-19 waste in the last 7 months (June–December 2020) should be considered as a high priority state. These states need special attention to implement BMW rules and should upgrade their BMW treatment capacity.

Permitting, the Public and the Future of Animal Biosafety Facilities

1998 ◽  
Vol 3 (2) ◽  
pp. 79-84
Author(s):  
Fred W. Quimby
Keyword(s):  
New York ◽  
Planning Process ◽  
Waste Treatment ◽  
Medical Waste ◽  
Federal State ◽  
Complex Nature ◽  
The Public ◽  
Treatment Facilities ◽  
State And Local ◽  
Treatment And Disposal

Biocontainment facilities for animals are complex structures which must comply with numerous, sometimes conflicting, federal, state and local regulations. Agencies responsible for funding the construction of or permitting of such facilities must address the environmental impacts of the operation including the treatment and disposal of regulated medical waste. Our experience illustrates the complex nature of the biocontainment facility permitting process. Furthermore, these experiences have taught us to seek public input early in the planning process and incorporate the public's concerns during the environmental quality review process. Finally, the recent decision in New York to regulate ABSL-3 facilities as regulated medical waste treatment facilities has added significant new requirements and resulted in a cost escalation that threatens the entire project.

DEVELOPMENT OF FARM ECONOMY IN NGHE AN PROVINCE

2018 ◽  
Vol 63 (7) ◽  
pp. 114-125
Author(s):  
Trang Nguyen Thi Thanh ◽  
Tuyen Tran Thi ◽  
Yen Hoang Phan Hai ◽  
Hoai Nguyen Thi
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Waste Treatment ◽  
Animal Husbandry ◽  
Development Theory ◽  
Farm Income ◽  
Land Use Efficiency ◽  
Product Consumption ◽  
Production Building ◽  
Treatment Facilities

Nghe An is the largest province area in Viet Nam with many favorable conditions for developing farm economy. Researching on the farm economy in Nghe An is approached in the direction of sustainable development theory and from the farm owners. Base on principle of sustainable development to survey 150 farms, which were selected by two criteria group: distribution such as mountains, midland, coast plain and types of farms such as cultivation, animal husbandry, forestry, aquaculture. The content was collected focus on: land use, labor, product value, average farm income and land use efficiency,.... Based on the results analyzed, there are some problems in Nghe An farms development: the scale of farms are small, quality product is not high, dificulties in product consumption, there is not link between farms, environmental protection issues are not paid attention,… This is not meet the need of sustainable development. Some solutions are proposed, such as: expanding farm scale, creating the close links between farm owners and enterprises, applying the scientific advances in production, building the waste treatment facilities and developing specialized products by region advantage, etc.

scholarly journals Rx For Medical Waste

2000 ◽  
Vol 122 (09) ◽  
pp. 52-56
Author(s):  
Michael Valenti
Keyword(s):  
Waste Treatment ◽  
Waste Incineration ◽  
Water Systems ◽  
Medical Waste ◽  
Hospital Workers ◽  
Medical Centers ◽  
Treatment Technologies

This article reviews many hospitals and medical centers have found it more economical to replace their on-site incinerators with alternative waste treatment technologies, primarily microwave systems or steam autoclaves, or send waste to treatment companies that are equipped with disinfection technologies. Sanitec International Holdings of West Caldwell, NJ, illustrates the in roads that alternatives are making to medical waste incineration. The entire Sanitec disinfection system is enclosed in all-weather steel housing, and is connected to the hospital’s electrical and water systems. Hospital workers bring collected waste in carts to the automated lift and load system, which raises the cart and empties it into the infeed hopper. The MediWaste system at Laredo is designed to treat up to 200 pounds of material per hour, which is more than sufficient to treat the 700 to 800 pounds of waste generated per day. Although incineration alternatives appear to be gaining popularity, combustion is still used to disinfect and reduce much clinical waste.

scholarly journals Medical waste treatment scheme selection based on single-valued neutrosophic numbers

2021 ◽  
Vol 6 (10) ◽  
pp. 10540-10564
Author(s):  
Jie Ling ◽  
◽  
Mingwei Lin ◽  
Lili Zhang ◽  
◽  
...  
Keyword(s):  
Waste Treatment ◽  
Medical Waste ◽  
Selection Problem ◽  
Infected People ◽  
Treatment Scheme ◽  
Medical Supplies ◽  
Maclaurin Symmetric Mean ◽  
Scheme Selection ◽  
Mean Function

<abstract> <p>With the rapid increase in the number of infected people in COVID-19, medical supplies have been increasing significantly. Medical waste treatment scheme selection may have long-term impacts on the economy, society, and environment. Determining the best treatment option is a considerable challenge. To solve this problem, in this paper, we proposed a multi-criteria group decision making (MCGDM) method based on single-valued neutrosophic numbers and partitioned Maclaurin symmetric mean (PMSM) operator. Because of the complexity of the medical waste treatment scheme selection problem, the single-valued neutrosophic numbers are applied to express the uncertain evaluation information. For the medical waste treatment scheme selection problem, the factors or criteria (these two terms can be interchanged.) in the same clusters are closely related, and the criteria in different clusters have no relationships. The partitioned Maclaurin symmetric mean function can handle these complicated criterion relationships. Therefore, we extend the PMSM operator to process the single-valued neutrosophic numbers and propose the single-valued neutrosophic partitioned Maclaurin symmetric mean (SVNPMSM) operator and its weighted form (SVNWPMSM). Then, we analyze their properties and give typical examples of the proposed operators. An MCGDM model based on the SVNWPMSM aggregation operator is developed and applied to solve the medical waste treatment scheme selection problem. Finally, the validity and superiority of the developed model are verified by comparing it with the previous methods.</p> </abstract>

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