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Mathematical-statistical models of generated hazardous hospital solid waste

A R Awad1, M Obeidat, M Al-Shareef

  • 1Department of Environmental Engineering, Tishreen University, Lattakia, Syria. adelawad@arabscientist.org

Journal of Environmental Science and Health. Part A, Toxic/Hazardous Substances & Environmental Engineering
|March 19, 2004
PubMed

Insights

Hospital waste management in Irbid, Jordan requires revision. Current practices for hazardous and non-hazardous waste separation and disposal pose risks to health and the environment.

Area of Science:

  • Environmental Science
  • Public Health
  • Waste Management

Background:

  • Hospitals in Irbid, Jordan, generate hazardous waste, but collection processes do not separate hazardous from non-hazardous materials.
  • Three hospitals (Princess Basma, Princess Bade'ah, Ibn Al-Nafis) were studied to assess waste generation and management practices.
  • Current waste disposal methods in these hospitals do not align with international standards for reducing health and environmental risks.

Purpose of the Study:

  • To quantify solid waste generation rates (kg/patient/day, kg/bed/day) in three Jordanian hospitals.
  • To compare waste generation rates with European hospitals.
  • To develop statistical models for predicting hospital waste quantities based on significant factors.

Main Methods:

  • Data collection on solid waste amounts from different hospital divisions.
  • Determination of waste generation rates per patient and per bed.
  • Statistical analysis, including multiple regression, to identify factors influencing waste generation and to estimate waste quantities from specific divisions.

Main Results:

  • Waste generation rates were determined for public, teaching, and private hospitals.
  • Comparison with European hospitals indicated a need for improved waste management practices.
  • Statistical models identified patient numbers, bed counts, and hospital type as significant predictors of waste quantity.

Conclusions:

  • The current hospital waste management system in Irbid needs significant revision.
  • Improved separation and disposal methods are crucial to mitigate health and environmental risks.
  • Predictive models can aid in optimizing waste management strategies based on hospital characteristics and patient load.

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