ArticleThe R journal2022
The openVA Toolkit for Verbal Autopsies.
Article in The R journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Hierarchical latent class models for mortality surveillance using partially verified verbal autopsies.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2026Article
- Country-specific estimates of misclassification rates of computer-coded verbal autopsy algorithms.BMJ global health · 2026Article
- Computer assisted verbal autopsy: comparing large language models to physicians for assigning causes to 6939 deaths in Sierra Leone from 2019-2022.BMC medicine · 2025Article
- Evaluating the performance of verbal autopsy for assigning cause of death in older adults: A population-based cohort study in Karonga, Malawi.Tropical medicine & international health : TM & IH · 2025Article
- Mortality in children and adolescents in Western Democratic Republic of Congo: retrospective analysis of verbal autopsy and demographic data from the Kimpese Health and Demographic Surveillance System.BMJ paediatrics open · 2025Article
- A Retrospective Analysis of Lessons Learned and Perspectives on Expansion of Verbal Autopsy Implementation in Zambia, 2023.The American journal of tropical medicine and hygiene · 2025Article
- Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy.Biostatistics (Oxford, England) · 2024Article
- Temporal changes in cause of death among adolescents and adults in six countries in eastern and southern Africa in 1995-2019: a multi-country surveillance study of verbal autopsy data.The Lancet. Global health · 2024Article
- BAYESIAN NESTED LATENT CLASS MODELS FOR CAUSE-OF-DEATH ASSIGNMENT USING VERBAL AUTOPSIES ACROSS MULTIPLE DOMAINS.The annals of applied statistics · 2024Article
- Comparison of causes of stillbirth and child deaths as determined by verbal autopsy and minimally invasive tissue sampling.PLOS global public health · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Verbal autopsy (VA) is a survey-based tool widely used to infer cause of death (COD) in regions without complete-coverage civil registration and vital statistics systems. In such settings, many deaths happen outside of medical facilities and are not officially documented by a medical professional. VA surveys, consisting of signs and symptoms reported by a person close to the decedent, are used to infer the COD for an individual, and to estimate and monitor the COD distribution in the population. Several classification algorithms have been developed and widely used to assign causes of death using VA data. However, the incompatibility between different idiosyncratic model implementations and required data structure makes it difficult to systematically apply and compare different methods. The openVA package provides the first standardized framework for analyzing VA data that is compatible with all openly available methods and data structure. It provides an open-source, R implementation of several most widely used VA methods. It supports different data input and output formats, and customizable information about the associations between causes and symptoms. The paper discusses the relevant algorithms, their implementations in R packages under the openVA suite, and demonstrates the pipeline of model fitting, summary, comparison, and visualization in the R environment.
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Registered trials
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