ReviewBMJ open2026
Unequal harvests: AI-assisted evidence map of trends and gaps in global farmer health research along SDG 3 priorities.
Review in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Tool for identifying occupational exposures and risks in agriculture (TIERRA): application in coffee farming in Uganda.International journal of public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionEnsuring the health of agricultural workers, the world's largest labour force, is key for sustainable food production and progress towards the Sustainable Development Goals (SDGs).
methodsWe conducted an artificial intelligence (AI)-assisted evidence map of research records on global farmer health published from 2015 to 2024. We searched bibliographic databases and screened titles/abstracts using SWIFT-Active Screener, a collaborative review platform that uses machine-learning prioritisation to rank records for human review. We retrieved 32 006 records. After manually screening 8533 records and stopping when the tool estimated ≥94% recall of relevant records, we included 1684 studies. We mapped research output by health topic category (non-communicable diseases (NCDs), communicable diseases, injuries and mental health) country income groups and alignment with SDG 3 targets.
resultsDespite 98% of the agricultural workforce living in low- and middle-income countries (LMICs), 52% of studies originate from high-income countries (HICs). Research focuses on NCDs (29%) and injuries (26%), with LMICs focusing on pesticide poisoning and HIC on accidents. Mental health emerges as a key topic in HICs, with the proportion of publications nearly doubling from 2021 to 2024 but remains underexplored in LMICs. Key gaps with high relevance to farming populations and climate change, such as heat-related illnesses, occupational injuries and musculoskeletal conditions, are not well represented in SDG 3 indicators.
conclusionOur findings highlight urgent needs for a more equitable and comprehensive global research agenda that integrates agricultural worker health into sustainability frameworks beyond the SDG era, ensuring the resilience and well-being of food producers worldwide.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.