Enhancing Lassa fever health literacy through AI: Development and evaluation of a retrieval-augmented generation chatbot for public health education
Abstract
Introduction:
Lassa fever is an acute viral hemorrhagic illness endemic to West Africa, with an estimated 100,000 to 300,000 infections annually and approximately 5,000 deaths. Despite its public health significance, widespread misinformation, limited health literacy, and poor access to reliable educational resources hinder effective prevention and control. In this context, artificial intelligence (AI)-powered chatbots offer a novel approach to disseminating accurate, accessible, and source-attributed health information. This study aimed to develop and evaluate a custom retrieval-augmented generation (RAG)-based AI chatbot designed to improve health literacy on Lassa fever.
Methods:
This was a two-phase evaluation study conducted in a virtual setting. A RAG-based chatbot was developed using curated and trusted Lassa fever guidelines from the World Health Organization (WHO), Nigeria Centre for Disease Control (NCDC), and peer-reviewed literature. The evaluation involved: Expert Assessment:Forty-four predefined questions were submitted to the chatbot. Infectious disease specialists rated responses for appropriateness (appropriate/partly appropriate/inappropriate) and source attribution (matched/partly matched/unmatched/general knowledge). Simulated Consultations: sixteen patient-like queries were tested to assess real-world applicability and response quality.
Results:
In the expert assessment, 73% (32/44) of responses cited reference documents, of which 94% (30/32) were rated…
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