Evidence map›Paper›PMID 40603972›Full record

ArticleScientific reports2025

Mapping temporal trends of pesticide use and identifying potential non-occupation population exposure using a geospatial approach.

Elisa Jazan, Timothy Griffin, Mark Woodin

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Elisa JazanDepartment of Civil and Environmental Engineering, Tufts University School of Engineering, 200 College Ave, Medford, MA, 02155, USA. Elisa.Jazan@tufts.edu.
Timothy GriffinFriedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA, 02111, USA.
Mark WoodinDepartment of Civil and Environmental Engineering, Tufts University School of Engineering, 200 College Ave, Medford, MA, 02155, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating pesticide exposure in environmental settings is complex due to limited data, evolving agricultural practices, and increasing use driven by weed resistance and genetically engineered crops. One of the most widely used herbicides, 2,4-D, is a concern for populations near agricultural fields due to its rapidly increasing use. We used a geospatial approach to show spatio-temporal trends of pesticide use and identify at-risk populations for non-occupational pesticide exposure. 2,4-D application on soybeans in Illinois during the years 2017, 2020 and 2023 were used. We calculated the rate of change on the county level using reported 2,4-D use and soybean crop area. Then we created a crop area, pesticide density buffer model using 1 km buffer zones correlated with 1000 m x 1000 m gridded census data to identify where populations were at risk of non-occupational exposure in Champaign County. Between 2017 and 2023, there was a median increase of 341% in 2,4-D application on soybeans in each county in Illinois. We found that 98.9-99.7% of the population of Champaign County lived within 1 km of at least 0.04 km

Indexed as

2,4-Dichlorophenoxyacetic AcidEnvironmental ExposurePesticidesAgricultureCrops, AgriculturalGlycine maxHerbicidesHumansIllinoisSpatio-Temporal Analysis2,4-Dichlorophenoxyacetic AcidHerbicidesPesticides2,4-DAgricultureGISHerbicidesNon-occupational exposurePesticides

Identifiers

PMID40603972
PMCPMC12223063

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.