Forecasting of formation of pharmaceutical glass waste taking into account the СOVID-19 database

Ескіз

Дата

2020

DOI

doi.org/10.21303/2313-8416.2020.001392

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Назва журналу

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Назва тому

Видавець

Scientific Route OÜ, Tallin, Estonia

Анотація

Subject of research: forecasting the formation of pharmaceutical glass waste in medical institutions, taking into account the peculiarities of the use of medicines during the COVID-19 epidemic in Ukraine. Research problem: Predicting the formation and accumulation of pharmaceutical glass waste in hospitals in order to implement effective environmental management and determine the resource possibilities for further waste disposal. Main scientific results: A model has been developed that can be used to predict the generation of pharmaceutical waste from glass in hospitals in the country during an epidemic, as well as in the presence of the necessary input data in a non-epidemic period. Based on regression analysis and using the Minitab-19 software, the dependences of the volume of pharmaceutical waste from glass on three variable factors were determined. Using statistical data on the incidence of COVID-19 in Ukraine, using the developed model, the PGW volume in the Volyn region for a given period of time was calculated. The scope of practical application of the research results: planning of measures to improve the environmental safety of handling pharmaceutical glass waste; development of business models for the disposal of this waste. An innovative technological product: the predictive model helps to identify the resource possibilities of using pharmaceutical glass waste for industrial waste disposal. Scope of application of the innovative technological product: medical waste management, industrial disposal of pharmaceutical glass waste.

Опис

Ключові слова

pharmaceutical glass waste, hospitals, waste generation, predictive model, COVID-19

Бібліографічний опис

Baranova A. O. Forecasting of formation of pharmaceutical glass waste taking into account the СOVID-19 database / A. O. Baranova, N. M. Samoilenko, I. V. Pitak // ScienceRise. – 2020. – No. 4 (69). – P. 46-52.

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