{"metadata":{"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"}]}}