---
code_id: 67549
site_ownership_code: "SNL"
open_source: true
repository_link: "https://github.com/sandialabs/PRIME"
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: "Patrick"
  last_name: "Blonigan"
  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: "Kenny"
  last_name: "Chowdhary"
  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: "2021-02-03"
software_title: "PRIME"
doi: "https://doi.org/10.11578/dc.20211202.2"
description: "SAND2021-0565 O PRIME is a modeling framework designed for the real-time\
  \ characterization and forecasting of partially observed epidemics. The method is\
  \ designed to help guide medical resource allocation in the early epoch of the outbreak.\
  \ Characterization is the estimation of infection spread parameters using daily\
  \ counts of symptomatic patients. The estimation problem is posed as one of Bayesian\
  \ inference and solved using a Markov Chain Monte Carlo technique. The framework\
  \ can accommodate multiple epidemic waves and can help identify different disease\
  \ dynamics at the regional, state, and country levels. Examples are provided using\
  \ publicly available COVID-19 data. Sandia 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"
version_number: "1"
country_of_origin: "United States"
project_keywords: []
licenses:
- "BSD 2-clause \"Simplified\" License"
recipient_org: "Sandia National Laboratories"
site_accession_number: "SCR #2595"
date_record_added: "2021-12-02"
date_record_updated: "2021-12-02"
is_file_certified: false
is_limited: false
links:
- rel: "citation"
  href: "https://www.osti.gov/doecode/biblio/67549"