{"title":"COVID-19 medical waste dataset and city-level disposal optimization strategies","authors":"Zongguo Wen, Hailong Zhao, Yi Zhang","doi":"10.1038/s41893-025-01550-8","DOIUrl":null,"url":null,"abstract":"A surge in medical waste (MW) during the COVID-19 pandemic threatened environmental health globally. Learning from the experience of the COVID-19 pandemic can help governments to manage MW in the event of similar emergencies in the future. Here we compile a city-level dataset covering the MW generated during the COVID-19 pandemic and the capacity to dispose of it, and develop a model to estimate daily MW from respiratory diseases outbreaks from the test–isolation–treatment chain across 343 Chinese cities. The data collected allow the analysis of MW patterns related to COVID-19 restriction measures at different stages of the pandemic and enable the analysis of the sustainability of MW management. Our model estimates identify city-specific disposal optimization strategies for sustainable MW management. The dataset and the model presented here can support more in-depth research on MW management and aid policy makers dealing with the impacts of MW. Analysis of medical waste (MW) generated and disposed of during the COVID-19 pandemic can help develop better MW management in the future. This study presents a city-level dataset on MW generation and disposal capacity during the pandemic across China, and a model to identify disposal strategies.","PeriodicalId":19056,"journal":{"name":"Nature Sustainability","volume":"8 5","pages":"562-573"},"PeriodicalIF":27.1000,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Sustainability","FirstCategoryId":"93","ListUrlMain":"https://www.nature.com/articles/s41893-025-01550-8","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
A surge in medical waste (MW) during the COVID-19 pandemic threatened environmental health globally. Learning from the experience of the COVID-19 pandemic can help governments to manage MW in the event of similar emergencies in the future. Here we compile a city-level dataset covering the MW generated during the COVID-19 pandemic and the capacity to dispose of it, and develop a model to estimate daily MW from respiratory diseases outbreaks from the test–isolation–treatment chain across 343 Chinese cities. The data collected allow the analysis of MW patterns related to COVID-19 restriction measures at different stages of the pandemic and enable the analysis of the sustainability of MW management. Our model estimates identify city-specific disposal optimization strategies for sustainable MW management. The dataset and the model presented here can support more in-depth research on MW management and aid policy makers dealing with the impacts of MW. Analysis of medical waste (MW) generated and disposed of during the COVID-19 pandemic can help develop better MW management in the future. This study presents a city-level dataset on MW generation and disposal capacity during the pandemic across China, and a model to identify disposal strategies.
期刊介绍:
Nature Sustainability aims to facilitate cross-disciplinary dialogues and bring together research fields that contribute to understanding how we organize our lives in a finite world and the impacts of our actions.
Nature Sustainability will not only publish fundamental research but also significant investigations into policies and solutions for ensuring human well-being now and in the future.Its ultimate goal is to address the greatest challenges of our time.