Abstract：
:In response to the emergent public health event of COVID-19, the efficiency of transport of medical waste from hospitals to disposal stations is a worthwhile issue to study. In this paper, based on the actual situation of COVID-19 and environmental impact assessment guidelines, an immune algorithm is used to establish a location model of urban medical waste storage sites. In view of the selection of temporary storage stations and realistic transportation demand, an efficiency-of-transport model of medical waste between hospitals and temporary storage stations is established by using an ant colony-tabu hybrid algorithm. In order to specify such status, Wuhan city in Hubei Province, China-considered the first city to suffer from COVID-19-was chosen as an example of verification; the two-level model and the immune algorithm-ant colony optimization-tabu search (IA-ACO-TS) algorithm were used for simulation and testing, which achieved good verification. To a certain extent, the model and the algorithm are proposed to solve the problem of medical waste disposal, based on transit temporary storage stations, which we are convinced will have far-reaching significance for China and other countries to dispatch medical waste in response to such public health emergencies.
journal_name
Int J Environ Res Public Healthauthors
Liu Z,Li Z,Chen W,Zhao Y,Yue H,Wu Zdoi
10.3390/ijerph17165831subject
Has Abstractpub_date
2020-08-12 00:00:00issue
16eissn
1661-7827issn
1660-4601pii
ijerph17165831journal_volume
17pub_type
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journal_title：International journal of environmental research and public health
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更新日期：2019-01-21 00:00:00
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