Mathematical-statistical models of generated hazardous hospital solid waste.
This research work was carried out under the assumption that wastes generated from hospitals in Irbid, Jordan were hazardous. The hazardous and non-hazardous wastes generated from the different divisions in the three hospitals under consideration were not separated during collection process. Three hospitals, Princess Basma hospital (public), Princess Bade'ah hospital (teaching), and Ibn Al-Nafis hospital (private) in Irbid were selected for this study. The research work took into account the amounts of solid waste accumulated from each division and also determined the total amount generated from each hospital. The generation rates were determined (kilogram per patient, per day; kilogram per bed, per day) for the three hospitals. These generation rates were compared with similar hospitals in Europe. The evaluation suggested that the current situation regarding the management of these wastes in the three studied hospitals needs revision as these hospitals do not follow methods of waste disposals that would reduce risk to human health and the environment practiced in developed countries. Statistical analysis was carried out to develop models for the prediction of the quantity of waste generated at each hospital (public, teaching, private). In these models number of patients, beds, and type of hospital were revealed to be significant factors on quantity of waste generated. Multiple regressions were also used to estimate the quantities of wastes generated from similar divisions in the three hospitals (surgery, internal diseases, and maternity).
Awad
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AR
Department of Environmental Engineering, Tishreen University, Lattakia, Syria. adelawad@arabscientist.org
Obeidat
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Al-Shareef
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D004784:Environmental Monitoring; D019983:Guideline Adherence; D006256:Hazardous Waste; D006761:Hospitals / Q000592:standards / Q000706:statistics & numerical data; D007597:Jordan; D017744:Medical Waste Disposal / Q000379:methods* / Q000592:standards*; D015233:Models, Statistical; D011634:Public Health; D012037:Refuse Disposal / Q000379:methods*; D018570:Risk Assessment
D006256:Hazardous Waste; D017744:Medical Waste Disposal