Article

A large language model-assisted workflow for generating a living evidence base for climate-sensitive foodborne disease

2026-07-08

Abstract excerpt

Climate change is altering environmental conditions that influence foodborne disease transmission, yet traditional systematic reviews cannot keep pace with expanding evidence. We assessed whether an LLM-assisted workflow could generate a rapid, repeatable, and policy-relevant living evidence base for climate-sensitive foodborne disease. We combined structured PubMed searches (2010–2023), gold-standard human labell...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 436ef539-03da-565d-b800-f569d9b3ed40
DOI: 10.64898/2026.07.04.26357263

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A large language model-assisted workflow for generating a living evidence base for climate-sensitive foodborne diseaseDOI 10.64898/2026.07.04.26357263Read

Computational framework for the World Health Organization estimates of the global, regional and national burden of foodborne diseases 2026 editionSemantic proximity Read

World Health Organization Attribution of Burden of Foodborne Diseases to Transmission Pathways and FoodsSemantic proximity Read

Evaluation of four large language models on complex, infectious disease case scenariosSemantic proximity Read

Whole-Genome Sequencing Is Taking over Foodborne Disease SurveillanceSemantic proximity Read

Evaluating U.S. Federal Zoonotic Records Against National One Health Goals: A Multi-LLM Assessment Across COVID-19, Mpox, and H5N1Semantic proximity Read

Human norovirus contamination challenge in fresh produce: a global prevalence and meta-analytic assessment.Semantic proximity Read

Severity index for a national foodborne outbreak surveillance systemSemantic proximity Read

A Generalizable Data Assembly Algorithm for Infectious Disease OutbreaksSemantic proximity Read

Artificial Intelligence for Predicting and Prioritizing Microbiological Hazards in Food Safety Inspection Systems: A PRISMA-Compliant Systematic Review (2020–2025)Semantic proximity Read

A Biosecurity Agent for Lifecycle LLM Biosecurity AlignmentSemantic proximity Read

Prospective validation of NeutrinoReview for LLM-assisted systematic review screening: an indoor air quality case studySemantic proximity Read

Operationalising LLM-assisted screening of literature to support systematic reviewsSemantic proximity Read