Medical waste management in a mid-populated Turkish city and development of medical waste prediction model

Waste remains a very complex problematic issue on human society due to its health and environmental effects, economic aspects and social impacts. Medical waste is in a special classification and is supposed to be more hazardous compared to municipal wastes. Therefore, collection, storage, transfer a...

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Published in:Environment, development and sustainability development and sustainability, 2020-10, Vol.22 (7), p.6233-6244
Main Authors: Çetinkaya, Afşin Yusuf, Kuzu, S. Levent, Demir, Ahmet
Format: Article
Language:English
Subjects:
Age differences
Classification
Decision makers
Earth and Environmental Science
Ecology
Economic factors
Economic Geology
Economic Growth
Environment
Environmental aspects
Environmental Economics
Environmental effects
Environmental Management
GDP
Gross Domestic Product
Hazardous wastes
Health services
Hospitals
Management systems
Medical wastes
Municipal wastes
Prediction models
Regression models
Sustainable Development
Waste disposal
Waste management
Waste management industry
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creator Çetinkaya, Afşin Yusuf
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description Waste remains a very complex problematic issue on human society due to its health and environmental effects, economic aspects and social impacts. Medical waste is in a special classification and is supposed to be more hazardous compared to municipal wastes. Therefore, collection, storage, transfer and disposal of medical waste need more delicate measures. These four cycles of waste handling comprise the waste management system. The amount of future medical waste is important in studies on waste management. In order to form an accurate strategy, the amount of waste that is generated must be known with high precision. Accurate estimation can help both planning and designing medical waste management systems. In the present work, a regression model was performed in order to estimate the amount of waste generated by the hospitals in Aksaray city. The inputs of the model were the patient number in three different age classes (0–15; 15–65; 65 
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source EBSCOhost Business Source Ultimate; International Bibliography of the Social Sciences (IBSS); ABI/INFORM Global; Springer Link
subjects Age differences
Classification
Decision makers
Earth and Environmental Science
Ecology
Economic factors
Economic Geology
Economic Growth
Environment
Environmental aspects
Environmental Economics
Environmental effects
Environmental Management
GDP
Gross Domestic Product
Hazardous wastes
Health services
Hospitals
Management systems
Medical wastes
Municipal wastes
Prediction models
Regression models
Sustainable Development
Waste disposal
Waste management
Waste management industry
title Medical waste management in a mid-populated Turkish city and development of medical waste prediction model
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