Tides Need STEMMED: A Locally Operating Spatiotemporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction

• Che-Yi Liao

  Corresponding Author

  Che-Yi Liao

  [email protected]

  https://orcid.org/0000-0001-9654-5168

  H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332

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• Zheng Dong

  Zheng Dong

  [email protected]

  https://orcid.org/0000-0002-1505-8569

  Amazon.com, Inc., Seattle, Washington 98109

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  ,
• Gian-Gabriel P. Garcia

  Gian-Gabriel P. Garcia

  [email protected]

  https://orcid.org/0000-0001-9315-0195

  Department of Industrial & Systems Engineering, University of Washington, Seattle, Washington 98195

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  ,
• Kamran Paynabar

  Kamran Paynabar

  [email protected]

  https://orcid.org/0000-0002-6906-3611

  H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332

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  ,
• Yao Xie

  Yao Xie

  [email protected]

  https://orcid.org/0000-0001-6777-2951

  H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332

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  ,
• Mohammad S. Jalali

  Mohammad S. Jalali

  [email protected]

  https://orcid.org/0000-0001-6769-2732

  MGH Institute for Technology Assessment, Harvard Medical School, Boston, Massachusetts 02114; and Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142

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