A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries.
Saved in:
| Title: | A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries. |
|---|---|
| Authors: | Tavana, Madjid1,2, tavana@lasalle.edu, Govindan, Kannan3, kgov@iti.sdu.dk, Nasr, Arash Khalili4, khalilinasr@sharif.edu, Heidary, Mohammad Saeed5, saeed_heidary@atu.ac.ir, Mina, Hassan6, hassan.mina@ut.ac.ir |
| Source: | Annals of Operations Research; May2026, Vol. 360 Issue 1, p391-424, 34p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193366240 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tavana%2C+Madjid%22">Tavana, Madjid</searchLink><relatesTo>1,2</relatesTo>, <i>tavana@lasalle.edu</i><br /><searchLink fieldCode="AU" term="%22Govindan%2C+Kannan%22">Govindan, Kannan</searchLink><relatesTo>3</relatesTo>, <i>kgov@iti.sdu.dk</i><br /><searchLink fieldCode="AU" term="%22Nasr%2C+Arash+Khalili%22">Nasr, Arash Khalili</searchLink><relatesTo>4</relatesTo>, <i>khalilinasr@sharif.edu</i><br /><searchLink fieldCode="AU" term="%22Heidary%2C+Mohammad+Saeed%22">Heidary, Mohammad Saeed</searchLink><relatesTo>5</relatesTo>, <i>saeed_heidary@atu.ac.ir</i><br /><searchLink fieldCode="AU" term="%22Mina%2C+Hassan%22">Mina, Hassan</searchLink><relatesTo>6</relatesTo>, <i>hassan.mina@ut.ac.ir</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; May2026, Vol. 360 Issue 1, p391-424, 34p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193366240 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10479-021-04130-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 34 StartPage: 391 Titles: – TitleFull: A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tavana, Madjid – PersonEntity: Name: NameFull: Govindan, Kannan – PersonEntity: Name: NameFull: Nasr, Arash Khalili – PersonEntity: Name: NameFull: Heidary, Mohammad Saeed – PersonEntity: Name: NameFull: Mina, Hassan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02545330 Numbering: – Type: volume Value: 360 – Type: issue Value: 1 Titles: – TitleFull: Annals of Operations Research Type: main |
| ResultId | 1 |