Statistical analysis and characteristics of hospital medical waste under novel Coronavirus outbreak

Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
View: 300

This Paper With 10 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_GJESM-6-0_003

تاریخ نمایه سازی: 11 خرداد 1399

Abstract:

One of thesources of infection as a result of coronavirus disease treatment is the medical waste generated during the health care activities. Since the registration of the first infected case of coronavirus in Jordan the daily number of patients fluctuated from as low as zero to as high as 40 with a recovery ratio and case fatality risk of 39% and 1.7%, respectively. The main objective of the present study is to carry out statistical analysis and assess the generation rates and the composition of the medical waste generated during the treatment of coronavirus pandemic with reference to a major tertiary care hospital in Jordan. Data onthe daily generated waste, number of the admitted patients and on the amounts of consumables like various personal protective equipment, testing kits, and disinfectant used during the treatment of coronavirus disease was obtained. Data was subjected to descriptive statistical analysis to find the average generation rates, 3 days moving average, as well as the frequency distribution of the generated amounts. During 25 days period, King Abdullah University Hospital has admitted 95 infected patients by coronavirus. The amount of the average rate of the medical waste generated as a result of coronavirus treatment was found to be 14.16 kg/patient/day and 3.95 kg/bed/day, which are more than tenfold higher than the average generation rate during the regular operational days of the hospital. Frequency analysis of the data revealed that the medical waste generation follows log normal distribution with correlation coefficient of 0.89.  The distribution is distorted to the right and flatter than the normal distribution curve as judged by the skewness and kurtosis coefficients, respectively, which indicates deviation from normality.

Keywords:

Authors

H.A. Abu-Qdais

Department of Civil Engineering, Jordan University of Science and Technology, Irbid, Jordan

M.A. Al-Ghazo

King Abdullah University Hospital, Jordan University of Science and Technology, Irbid, Jordan

E.M. Al-Ghazo

University of Tennessee Health Science Center, Memphis, Tennessee, USA

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Abdulla, F.; Abu Qdais, H.; Rabi, A., (2008) Site investigation ...
  • Abu Qdais, H.; Rabi, A.; Abdulla, F., (2007). Characteristics of ...
  • Al-qanees, M.; Ewees, A.; Hong, F.; Abd Elaziz, M., (2020). ...
  • Alshraideh, H.; Abu Qdais, H., (2017). Stochastic modeling and optimization ...
  • Ariza-Aguilar, J.A.; Rojas-Valencia; Aguilar-Vera, R.A., (2020). Forecast generation model of ...
  • Colaneri, M; Seminari, E;  Piralla, A;  Zuccaro, V; Filippo, A.D.; ...
  • ECDC, (2020) Coronavirus disease 2019 (COVID-19) pandemic: increased transmission in ...
  • Gormley, M.; Aspray, T.J.; Kelly D.A., (2020). COVID-19: mitigating transmission ...
  • Isaifan, R.J., (2020). The dramatic impact of Coronavirus outbreak on ...
  • JHU, (2020). Coronavirus COVID-19 global cases by the Center for ...
  • Jung, S.; Akhmetzhanov, A.R.; Hayashi, K.; Linton, N.M.; Yang, Y.; ...
  • Khan, S.; Ali, A.; Siddiqui, R.; Nabi, G., (2020) Novel ...
  • Maaroufi K.; Tudor, T.; Vaccari, M.; Siala, A.; Mahmoudi, E., ...
  • Morjoka, S.; Tajima, T.; Sugiki, Y.; Hayakawa, K.; Ohmagari, N., ...
  • Ricky, G.; Erna, M.; Ri, A., (2019) Forecasting solid medical ...
  • Tchobanoglous, G.; Theisen, H.; Vigil, S., (1993). Integrated solid waste ...
  • WHO, (2020a). World Health Organization, Laboratory biosafety guidance related to ...
  • WHO, (2020b). World Health Organization, WHO database of publications on ...
  • WorldoMeter, (2020). Countries in the world by population on 2020. ...
  • Yu, Hao; Sun, Xu; Solvang, D. Wei; Zhao, Xu (2020). ...
  • Zhi‑Min Chen;  Jun‑Fen Fu;  Qiang Shu;  Ying‑Hu Chen;  Chun‑Zhen Hua; Fu‑Bang Li;  Ru Lin; Lan‑Fang Tang; Tian‑Lin Wang; Wei Wang; ...
  • نمایش کامل مراجع