July 8th, 2024: Tanzanian Ministry of Health gives green light to InSilicoVA for automated cause codeing of WHO standard verbal autopsy (Section 6.2, p.50)
May 7th, 2024: Zehang Richard Li and colleages have a new article published in The Anals of Applied Statistics: “Bayesian nested latent class models for cause-of-death assignment using verbal autopsies across multiple domains”
(Apr 10th) New release of the Python openVA GUI available on the GitHub repository under releases. Note additional instructions for macOS users described on the main page.
(Apr 3rd) Tyler McCormick and colleagues have a new paper on arxiv: “From Narratives to Numbers: Valid Inference Using Language Model Predictions From Verbal Autopsy Narratives”
(Feb 23rd) Zhenku Wu and Richard Li have published a new paper with colleagues entitled “Tree-informed Bayesian multi-source domain adaption: cross-population probabilistic cause-of-death assignment using verbal autopsy”
(Jan 29th) New version (1.1.2) of openVA published on CRAN