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Evidano is an AI-powered qualitative data analysis platform that ingests transcripts, runs thematic and cross-segment analyses, and generates visual reports. This PLOS One study, published 8 June 2026, compares specialist plastic waste enterprises with general/mixed waste collectors in Greater Accra (Ghana) and Kisumu (Kenya) using 11 focus group discussions (n=87). The qualitative component identifies price volatility, theft of separated plastics, seasonal sachet-water flows, gendered labour patterns, and rising faecal contamination risks. Read the original paper at PLOS One. For platform support, see Evidano.
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How beneficiary feedback mechanisms (BFM) improve MDA delivery: lessons from 14 interviews (Apr–May 2024) and practical steps to turn feedback into action.
Findings from a June 8, 2026 qualitative study of schistosomiasis training needs (n=105) and a reproducible AI-enabled workflow to run assessments and reports.
Reproduce PLOS One readability and quality checks for AI health content, from ingestion to reports, using Evidano for secure, reproducible qualitative analysis.
Convert Zhuhai's PHEIS Delphi study into operational indicators: a how-to for qualitative analysis of public health emergency systems using Evidano workflows.
Hybrid bibliometric synthesis maps documents with semantic embeddings and density clustering to reduce keyword fragmentation and generate reproducible clusters.
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