A comprehensive study on the factors influencing the generation of infectious healthcare waste in inpatient healthcare institutions in Hungary DOI Creative Commons

Adam Kaposi,

Nikolett Orosz,

Attila Nagy

и другие.

Journal of the Air & Waste Management Association, Год журнала: 2024, Номер unknown

Опубликована: Сен. 25, 2024

Infectious healthcare waste (IHCW) poses a significant biohazard and public health risk. This study examines IHCW formation influencing factors in Hungarian inpatient institutions. Factors such as hospital type, regional location, indicators related to patient traffic, educational activity, patients of certain types medical specialties, healthcare-associated infections (HAIs) were examined. Univariate multivariate statistical methods identified predictors occurrence. The generation rate ranged from 0.15 0.81 kg/bed/day nationally, it increased by 40.74% between 2017 2021, significantly impacted the COVID-19 pandemic. data also showed that number beds increased, production proportionally. results indicate rates vary with university hospitals producing most waste. incidence HAI multidrug-resistant (MDR) bacterial emerged primary driver generation, along intensive care unit patients, differences. Southern Great Plain region had highest (0,42 kg/bed/day) among seven regions studied. highlights critical impact MDR on production, emphasizing need for targeted management high-risk areas. Regional differences necessity tailored strategies address local challenges. provides essential insights into Hungary, offering valuable information policy practice.Implication statementNowadays, one main problems is uncontrollable amount generated sector. represents biological hazard high risk, both an individual community level, so more precise knowledge these risks extremely important.In Central European region, very few studies have dealt infectious sector, this first research Hungary. aim measure produced various examine general specific affect waste.The findings reveal (GR) considerably across different regions. practices In addition, emphasizes importance developing region-specific view inequalities. A crucial insight (HAIs), particularly infections, has GR, surpassing other known factors. suggests effective control HAIs, especially can lead substantial reduction IHCW. pandemic not only IHCW, but factors.Overall, informing practice. By understanding policymakers practitioners develop policies practices. take account unique characteristics each type geographic ultimately reducing burden providing healthier safer environment all.

Язык: Английский

Optimizing COVID-19 medical waste management using goal and robust possibilistic programming DOI
Hamed Karimi,

Niaz A. Wassan,

Behdad Ehsani

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 131, С. 107838 - 107838

Опубликована: Янв. 6, 2024

Язык: Английский

Процитировано

21

Risk Management for Whole-Process Safe Disposal of Medical Waste: Progress and Challenges DOI Creative Commons
Ting Yang, Yanan Du, Mingzhen Sun

и другие.

Risk Management and Healthcare Policy, Год журнала: 2024, Номер Volume 17, С. 1503 - 1522

Опубликована: Июнь 1, 2024

Abstract: Over the past decade, global outbreaks of SARS, influenza A (H1N1), COVID-19, and other major infectious diseases have exposed insufficient capacity for emergency disposal medical waste in numerous countries regions. Particularly during epidemics diseases, exhibits new characteristics such as accelerated growth rate, heightened risk level, more stringent requirements. Consequently, there is an urgent need advanced theoretical approaches that can perceive, predict, evaluate, control risks associated with safe throughout entire process a timely, accurate, efficient, comprehensive manner. This article provides systematic review relevant research on collection, storage, transportation, its entirety to illustrate current state practices. Building upon this foundation leveraging emerging information technologies like Internet Things (IoT), cloud computing, big data analytics, artificial intelligence (AI), we deeply contemplate future directions aim minimize across all stages while offering valuable references decision support further advance Keywords: waste, disposal, progress challenges

Язык: Английский

Процитировано

5

A comprehensive decision-making framework to configure a viable healthcare waste management system considering pollution risk: a case study DOI

Parya Koohkan,

Ebrahim Asadi-Gangraj,

Sina Nayeri

и другие.

Clean Technologies and Environmental Policy, Год журнала: 2024, Номер unknown

Опубликована: Июнь 17, 2024

Язык: Английский

Процитировано

3

Site selection of medical waste disposal plants: A social network group decision-making framework with incomplete Pythagorean fuzzy preference relations DOI Open Access

Yuan Xu,

Haiyan Xu, Ginger Y. Ke

и другие.

Journal of Industrial and Management Optimization, Год журнала: 2025, Номер 0(0), С. 0 - 0

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Staged pyrolysis of medical waste for high-value product generation: Impact of inter-component interactions on chlorine migration and light compounds formation DOI
Yuhang Zheng, Tong Zhang, Aijun Li

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145631 - 145631

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

A comprehensive study on the factors influencing the generation of infectious healthcare waste in inpatient healthcare institutions in Hungary DOI Creative Commons

Adam Kaposi,

Nikolett Orosz,

Attila Nagy

и другие.

Journal of the Air & Waste Management Association, Год журнала: 2024, Номер unknown

Опубликована: Сен. 25, 2024

Infectious healthcare waste (IHCW) poses a significant biohazard and public health risk. This study examines IHCW formation influencing factors in Hungarian inpatient institutions. Factors such as hospital type, regional location, indicators related to patient traffic, educational activity, patients of certain types medical specialties, healthcare-associated infections (HAIs) were examined. Univariate multivariate statistical methods identified predictors occurrence. The generation rate ranged from 0.15 0.81 kg/bed/day nationally, it increased by 40.74% between 2017 2021, significantly impacted the COVID-19 pandemic. data also showed that number beds increased, production proportionally. results indicate rates vary with university hospitals producing most waste. incidence HAI multidrug-resistant (MDR) bacterial emerged primary driver generation, along intensive care unit patients, differences. Southern Great Plain region had highest (0,42 kg/bed/day) among seven regions studied. highlights critical impact MDR on production, emphasizing need for targeted management high-risk areas. Regional differences necessity tailored strategies address local challenges. provides essential insights into Hungary, offering valuable information policy practice.Implication statementNowadays, one main problems is uncontrollable amount generated sector. represents biological hazard high risk, both an individual community level, so more precise knowledge these risks extremely important.In Central European region, very few studies have dealt infectious sector, this first research Hungary. aim measure produced various examine general specific affect waste.The findings reveal (GR) considerably across different regions. practices In addition, emphasizes importance developing region-specific view inequalities. A crucial insight (HAIs), particularly infections, has GR, surpassing other known factors. suggests effective control HAIs, especially can lead substantial reduction IHCW. pandemic not only IHCW, but factors.Overall, informing practice. By understanding policymakers practitioners develop policies practices. take account unique characteristics each type geographic ultimately reducing burden providing healthier safer environment all.

Язык: Английский

Процитировано

1