Evidence map›Paper›PMID 40445748›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Measuring historical pollution: Natural history collections as tools for public health and environmental justice research.

Shane DuBay, Brian C Weeks, Pamela E Davis-Kean, Carl Fuldner, Nyeema C Harris, Sara Hughes, Bruce O'Brien, Marie Perkins, Cheryl Weyant

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Shane DuBayDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019.ORCID 0000-0002-7221-7546
Brian C WeeksSchool for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0003-2967-2970
Pamela E Davis-KeanDepartment of Psychology, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0001-8389-6268
Carl FuldnerDepartment of Art History, University of Chicago, Chicago, IL 60637.
Nyeema C HarrisApplied Wildlife Ecology Lab, Yale School of the Environment, Yale University, New Haven, CT 06511.ORCID 0000-0001-5174-2205
Sara HughesSchool for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0002-1282-6235
Bruce O'BrienSchool for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109.
Marie PerkinsCollege of Natural Resources, University of Wisconsin, Stevens Point, WI 54481.ORCID 0000-0002-2101-6234
Cheryl WeyantSchool for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Through the industrial era, pollutants have been unevenly distributed in the environment, disproportionately impacting disenfranchised communities. Redressing the unequal distribution of environmental pollution is thus a question of environmental justice and public health that requires policy solutions. However, data on pollutants for many locations and time periods are limited because environmental monitoring is largely reactive-i.e., pollutants are monitored only after they are recognized as harmful and are circulating in the environment at elevated levels. Without comprehensive historical pollution data, it is difficult to understand the full, intergenerational consequences of pollutants on environmental and human health. We assert that biological specimens in natural history collections are an underutilized source of quantitative pollution data for tracking environmental pollutants over two centuries to inform justice-centered policy solutions. Specifically, we: 1) discuss the need for quantitative pollution data in environmental research and its implications for public health and policy, 2) examine the capacity of biological specimens as tools for tracking environmental pollutants through space and time, 3) present a framework for integrating pollution datasets from specimens with spatially and temporally matched human health datasets to inform and evaluate policy, and 4) identify challenges and research directions associated with the use of quantitative pollution datasets. Biological specimens present a unique opportunity to fill critical gaps that address environmental challenges relevant to public health and policy. This work demands interdisciplinary partnerships and inclusive practices to connect data generated from specimens with urgent questions about environmental health and justice.

Indexed as

Environmental JusticeEnvironmental MonitoringEnvironmental PollutantsEnvironmental PollutionPublic HealthHumansEnvironmental Pollutantsenvironmental justiceexposure riskhealth disparitiesone healthspatial and temporal sampling

Identifiers

PMID40445748
PMCPMC12184430

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.