{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T14:51:49Z","timestamp":1774450309868,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819708437","type":"print"},{"value":"9789819708444","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-0844-4_19","type":"book-chapter","created":{"date-parts":[[2024,2,21]],"date-time":"2024-02-21T06:02:43Z","timestamp":1708495363000},"page":"260-273","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Two-Stage Approach to Optimize Medical Waste Transportation Problem During Pandemic"],"prefix":"10.1007","author":[{"given":"Hong","family":"Wang","sequence":"first","affiliation":[]},{"given":"Xuan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jinxin","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ben","family":"Niu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,22]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Haider, N., et al.: COVID-19-zoonosis or emerging infectious disease? Front Public Health 8, 596944 (2020)","DOI":"10.3389\/fpubh.2020.596944"},{"issue":"3","key":"19_CR2","doi-asserted-by":"publisher","first-page":"245","DOI":"10.5582\/bst.2023.01104","volume":"17","author":"Y Yang","year":"2023","unstructured":"Yang, Y., Guo, L., Lu, H.: Emerging infectious diseases never end: the fight continues. Biosci. Trends 17(3), 245\u2013248 (2023)","journal-title":"Biosci. Trends"},{"key":"19_CR3","first-page":"305","volume":"12","author":"S Suksee","year":"2021","unstructured":"Suksee, S., Sindhuchao, S.: GRASP with ALNS for solving the location routing problem of infectious waste collection in the Northeast of Thailand. Int. J. Ind. Eng. Comput. 12, 305\u2013320 (2021)","journal-title":"Int. J. Ind. Eng. Comput."},{"issue":"5","key":"19_CR4","doi-asserted-by":"publisher","first-page":"1770","DOI":"10.3390\/ijerph17051770","volume":"17","author":"H Yu","year":"2020","unstructured":"Yu, H., Sun, X., Solvang, W.D., Zhao, X.: Reverse logistics network design for effective management of medical waste in epidemic outbreaks: insights from the coronavirus disease 2019 (COVID-19) outbreak in Wuhan (China). Int. J. Environ. Res. Public Health 17(5), 1770 (2020)","journal-title":"Int. J. Environ. Res. Public Health"},{"issue":"53","key":"19_CR5","doi-asserted-by":"publisher","first-page":"79669","DOI":"10.1007\/s11356-021-16027-2","volume":"29","author":"X Mei","year":"2022","unstructured":"Mei, X., Hao, H., Sun, Y., Wang, X., Zhou, Y.: Optimization of medical waste recycling network considering disposal capacity bottlenecks under a novel coronavirus pneumonia outbreak. Environ. Sci. Pollut. Res. Int. 29(53), 79669\u201379687 (2022)","journal-title":"Environ. Sci. Pollut. Res. Int."},{"key":"19_CR6","doi-asserted-by":"publisher","first-page":"127922","DOI":"10.1016\/j.jclepro.2021.127922","volume":"314","author":"J Zhao","year":"2021","unstructured":"Zhao, J., Wu, B., Ke, G.Y.: A bi-objective robust optimization approach for the management of infectious wastes with demand uncertainty during a pandemic. J. Clean. Prod. 314, 127922 (2021)","journal-title":"J. Clean. Prod."},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Ghannadpour, S.F., Zandieh, F., Esmaeili, F.: Optimizing triple bottom-line objectives for sustainable health-care waste collection and routing by a self-adaptive evolutionary algorithm: a case study from Tehran province in Iran. J. Clean. Prod. 287 (2021)","DOI":"10.1016\/j.jclepro.2020.125010"},{"key":"19_CR8","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1177\/0734242X21996803","volume":"39","author":"WT Tsai","year":"2021","unstructured":"Tsai, W.T.: Analysis of medical waste management and impact analysis of COVID-19 on its generation in Taiwan. Waste Manag. Res. 39, 27\u201333 (2021)","journal-title":"Waste Manag. Res."},{"key":"19_CR9","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1080\/13675567.2016.1234595","volume":"20","author":"A Budak","year":"2017","unstructured":"Budak, A., Ustundag, A.: Reverse logistics optimisation for waste collection and disposal in health institutions: the case of Turkey. Int. J. Logist.-Res. Appl. 20, 322\u2013341 (2017)","journal-title":"Int. J. Logist.-Res. Appl."},{"key":"19_CR10","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1016\/j.wasman.2017.08.037","volume":"69","author":"G Mantzaras","year":"2017","unstructured":"Mantzaras, G., Voudrias, E.A.: An optimization model for collection, haul, transfer, treatment and disposal of infectious medical waste: application to a Greek region. Waste Manag. 69, 518\u2013534 (2017)","journal-title":"Waste Manag."},{"key":"19_CR11","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.cie.2019.106229","volume":"140","author":"M Alizadeh","year":"2020","unstructured":"Alizadeh, M., Makui, A., Paydar, M.M.: Forward and reverse supply chain network design for consumer medical supplies considering biological risk. Comput. Ind. Eng. 140, 16 (2020)","journal-title":"Comput. Ind. Eng."},{"key":"19_CR12","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1007\/s10878-019-00499-7","volume":"42","author":"ZG Wang","year":"2021","unstructured":"Wang, Z.G., Huang, L.F., He, C.X.: A multi-objective and multi-period optimization model for urban healthcare waste\u2019s reverse logistics network design. J. Comb. Optim. 42, 785\u2013812 (2021)","journal-title":"J. Comb. Optim."},{"key":"19_CR13","doi-asserted-by":"publisher","first-page":"1965","DOI":"10.1007\/s10163-020-01081-8","volume":"22","author":"Z Homayouni","year":"2020","unstructured":"Homayouni, Z., Pishvaee, M.S.: A bi-objective robust optimization model for hazardous hospital waste collection and disposal network design problem. J. Mater. Cycles Waste Manag. 22, 1965\u20131984 (2020)","journal-title":"J. Mater. Cycles Waste Manag."},{"key":"19_CR14","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1007\/s10665-021-10162-y","volume":"2021","author":"HL Li","year":"2021","unstructured":"Li, H.L., Hu, Y., Lyu, J.Y., Quan, H., Xu, X., Li, C.X.: Transportation risk control of waste disposal in the healthcare system with two-echelon waste collection network. Math. Probl. Eng. 2021, 10 (2021)","journal-title":"Math. Probl. Eng."},{"key":"19_CR15","doi-asserted-by":"crossref","unstructured":"Babaee Tirkolaee, E., Ayd\u0131n, N.S.: A sustainable medical waste collection and transportation model for pandemics. Waste Manag. Res. 39(1_suppl), 34\u201344 (2021)","DOI":"10.1177\/0734242X211000437"},{"key":"19_CR16","doi-asserted-by":"publisher","first-page":"107668","DOI":"10.1016\/j.cie.2021.107668","volume":"162","author":"K Govindan","year":"2021","unstructured":"Govindan, K., Nasr, A.K., Mostafazadeh, P., Mina, H.: Medical waste management during coronavirus disease 2019 (COVID-19) outbreak: a mathematical programming model. Comput. Ind. Eng. 162, 107668 (2021)","journal-title":"Comput. Ind. Eng."},{"issue":"756","key":"19_CR17","doi-asserted-by":"publisher","first-page":"143607","DOI":"10.1016\/j.scitotenv.2020.143607","volume":"20","author":"EB Tirkolaee","year":"2021","unstructured":"Tirkolaee, E.B., Abbasian, P., Weber, G.W.: Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak. Sci. Total. Environ. 20(756), 143607 (2021)","journal-title":"Sci. Total. Environ."},{"issue":"746","key":"19_CR18","doi-asserted-by":"publisher","first-page":"141183","DOI":"10.1016\/j.scitotenv.2020.141183","volume":"1","author":"S Kargar","year":"2020","unstructured":"Kargar, S., Pourmehdi, M., Paydar, M.M.: Reverse logistics network design for medical waste management in the epidemic outbreak of the novel coronavirus (COVID -19). Sci. Total. Environ. 1(746), 141183 (2020)","journal-title":"Sci. Total. Environ."},{"issue":"5","key":"19_CR19","doi-asserted-by":"publisher","first-page":"3907","DOI":"10.1007\/s13762-021-03748-7","volume":"19","author":"EG Polat","year":"2021","unstructured":"Polat, E.G.: Medical waste management during coronavirus disease 2019 pandemic at the city level. Int. J. Environ. Sci. Technol. 19(5), 3907\u20133918 (2021). https:\/\/doi.org\/10.1007\/s13762-021-03748-7","journal-title":"Int. J. Environ. Sci. Technol."},{"issue":"15","key":"19_CR20","doi-asserted-by":"publisher","first-page":"9735","DOI":"10.3390\/ijerph19159735","volume":"19","author":"X Luo","year":"2022","unstructured":"Luo, X., Liao, W.: Collaborative reverse logistics network for infectious medical waste management during the COVID-19 outbreak. Int. J. Environ. Res. Public Health 19(15), 9735 (2022)","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"19_CR21","first-page":"1","volume":"22","author":"C Cao","year":"2022","unstructured":"Cao, C., Li, J., Liu, J., Liu, J., Qiu, H., Zhen, J.: Sustainable development-oriented location-transportation integrated optimization problem regarding multi period multi-type disaster medical waste during COVID-19 pandemic. Ann. Oper. Res. 22, 1\u201347 (2022)","journal-title":"Ann. Oper. Res."},{"issue":"16","key":"19_CR22","doi-asserted-by":"publisher","first-page":"5831","DOI":"10.3390\/ijerph17165831","volume":"17","author":"Z Liu","year":"2020","unstructured":"Liu, Z., Li, Z., Chen, W., Zhao, Y., Yue, H., Wu, Z.: Path optimization of medical waste transport routes in the emergent public health event of COVID-19: a hybrid optimization algorithm based on the immune-ant colony algorithm. Int. J. Environ. Res. Public Health 17(16), 5831 (2020)","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"19_CR23","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1007\/s10489-018-1263-6","volume":"49","author":"Z Zhao","year":"2019","unstructured":"Zhao, Z., Liu, B., Zhang, C., et al.: An improved adaptive NSGA-II with multi-population algorithm. Appl. Intell. 49, 569\u2013580 (2019)","journal-title":"Appl. Intell."}],"container-title":["Communications in Computer and Information Science","Data Mining and Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-0844-4_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,21]],"date-time":"2024-02-21T06:13:31Z","timestamp":1708496011000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-0844-4_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819708437","9789819708444"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-0844-4_19","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"22 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DMBD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Data Mining and Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sanya","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dmbd2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iasei.org\/dmbd2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"79","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"48% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}