Tides Need STEMMED: A Locally Operating Spatiotemporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction.
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| Title: | Tides Need STEMMED: A Locally Operating Spatiotemporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction. |
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| Authors: | Liao, Che-Yi1 (AUTHOR) cliao48@gatech.edu, Dong, Zheng2 (AUTHOR) zdong76@gatech.edu, Garcia, Gian-Gabriel P.3 (AUTHOR) garciagg@uw.edu, Paynabar, Kamran1 (AUTHOR) kamran.paynabar@isye.gatech.edu, Xie, Yao1 (AUTHOR) yao.xie@isye.gatech.edu, Jalali, Mohammad S.4 (AUTHOR) msjalali@mgh.harvard.edu |
| Source: | Manufacturing & Service Operations Management (M&SOM) (INFORMS). Mar/Apr2026, Vol. 28 Issue 2, p577-593. 17p. |
| Database: | Business Source Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 192159991 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Tides Need STEMMED: A Locally Operating Spatiotemporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liao%2C+Che-Yi%22">Liao, Che-Yi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cliao48@gatech.edu</i><br /><searchLink fieldCode="AR" term="%22Dong%2C+Zheng%22">Dong, Zheng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> zdong76@gatech.edu</i><br /><searchLink fieldCode="AR" term="%22Garcia%2C+Gian-Gabriel+P%2E%22">Garcia, Gian-Gabriel P.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> garciagg@uw.edu</i><br /><searchLink fieldCode="AR" term="%22Paynabar%2C+Kamran%22">Paynabar, Kamran</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kamran.paynabar@isye.gatech.edu</i><br /><searchLink fieldCode="AR" term="%22Xie%2C+Yao%22">Xie, Yao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yao.xie@isye.gatech.edu</i><br /><searchLink fieldCode="AR" term="%22Jalali%2C+Mohammad+S%2E%22">Jalali, Mohammad S.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> msjalali@mgh.harvard.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Manufacturing+%26+Service+Operations+Management+%28M%26SOM%29+%28INFORMS%29%22">Manufacturing & Service Operations Management (M&SOM) (INFORMS)</searchLink>. Mar/Apr2026, Vol. 28 Issue 2, p577-593. 17p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192159991 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1287/msom.2024.0946 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 577 Titles: – TitleFull: Tides Need STEMMED: A Locally Operating Spatiotemporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liao, Che-Yi – PersonEntity: Name: NameFull: Dong, Zheng – PersonEntity: Name: NameFull: Garcia, Gian-Gabriel P. – PersonEntity: Name: NameFull: Paynabar, Kamran – PersonEntity: Name: NameFull: Xie, Yao – PersonEntity: Name: NameFull: Jalali, Mohammad S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar/Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15234614 Numbering: – Type: volume Value: 28 – Type: issue Value: 2 Titles: – TitleFull: Manufacturing & Service Operations Management (M&SOM) (INFORMS) Type: main |
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