---
code_id: 162810
site_ownership_code: "SNL"
open_source: true
repository_link: "https://github.com/sandialabs/PRIME-VI"
project_type: "OS"
software_type: "S"
official_use_only: {}
developers:
- email: ""
  orcid: ""
  first_name: "Cosmin"
  last_name: "Safta"
  middle_name: ""
  affiliations:
  - "Sandia National Lab. (SNL-CA), Livermore, CA (United States)"
  - "Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)"
  - "Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United\
    \ States)"
- email: ""
  orcid: ""
  first_name: "Jaideep"
  last_name: "Ray"
  middle_name: ""
  affiliations:
  - "Sandia National Lab. (SNL-CA), Livermore, CA (United States)"
  - "Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)"
  - "Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United\
    \ States)"
- email: ""
  orcid: ""
  first_name: "Wyatt"
  last_name: "Bridgman"
  middle_name: ""
  affiliations:
  - "Sandia National Lab. (SNL-CA), Livermore, CA (United States)"
  - "Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)"
  - "Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United\
    \ States)"
contributors: []
sponsoring_organizations:
- organization_name: "USDOE"
  funding_identifiers: []
  primary_award: "NA0003525"
  DOE: true
contributing_organizations: []
research_organizations:
- organization_name: "Sandia National Laboratories (SNL-NM), Albuquerque, NM (United\
    \ States)"
  DOE: true
related_identifiers: []
award_dois: []
release_date: "2024-08-04"
software_title: "Prime VI"
doi: "https://doi.org/10.11578/dc.20250905.9"
description: "SAND2025-03757O\nPrime VI is a distribution-of-disease outbreak model\
  \ calibration code based on variational inference. It accompanies a publication\
  \ for submission to Statistics in Medicine journal, and the code will be maintained\
  \ for open-source use on Sandia's GitLab.\n\nThe software provides methods for calibrating\
  \ an epidemiological model to measured case-count data for a multitude of correlated\
  \ spatial regions. The code solves a Bayesian inverse problem for model calibration\
  \ where the posterior over-model parameters are approximated through a custom implementation\
  \ of variational inference.\nSandia National Laboratories is a multimission laboratory\
  \ managed and operated by National Technology & Engineering Solutions of Sandia,\
  \ LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department\
  \ of Energy’s National Nuclear Security Administration under contract DE-NA0003525."
programming_languages:
- "Python 3.11.5"
version_number: "0.1"
country_of_origin: "United States"
project_keywords: []
licenses:
- "BSD 2-clause \"Simplified\" License"
recipient_org: "Sandia National Laboratories"
site_accession_number: "SCR #3072.0"
date_record_added: "2025-09-05"
date_record_updated: "2025-09-05"
is_file_certified: false
last_editor: "copyrightadmin@sandia.gov"
is_limited: false
links:
- rel: "citation"
  href: "https://www.osti.gov/doecode/biblio/162810"