Evidence map›Paper›PMID 42306262›Full record

ArticleAtmosphere2025

Development of Visualization Tools for Sharing Climate Cooling Strategies with Impacted Urban Communities.

Linda Powers Tomasso, Kachina Studer, David Bloniarz, Dillon Escandon, John D Spengler

Abstract read
In one paragraph

Article in Atmosphere, 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

5 authors.

Linda Powers TomassoDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Kachina StuderVisualization Research and Teaching Laboratory, Department of Earth and Planetary Science, Harvard University, Cambridge, MA 02138, USA.
David BloniarzDepartment of Environmental Conservation, University of Massachusetts, Amherst, MA 02003, USA.
Dillon EscandonGraduate School of Design, Harvard University, Cambridge, MA 02138, USA.
John D SpenglerDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

Intensifying heat from warming climates regularly concentrates in urban areas lacking green infrastructure in the form of green space, vegetation, and ample tree canopy cover. Nature-based interventions in older U.S. city cores can help minimize the urban heat island effect, yet neighborhoods targeted for cooling interventions may remain outside the decisional processes through which change affects their communities. This translational research seeks to address health disparities originating from the absence of neighborhood-level vegetation in core urban areas, with a focus on tree canopy cover to mitigate human susceptibility to extreme heat exposure. The development of LiDAR-based imagery enables communities to visualize the proposed greening over time and across seasons of actual neighborhood streets, thus becoming an effective communications tool in community-engaged research. These tools serve as an example of how visualization strategies can initiate unbiased discussion of proposed interventions, serve as an educational vehicle around the health impacts of climate change, and invite distributional and participatory equity for residents of low-income, nature-poor neighborhoods.

Indexed as

augmented realityclimate changecommunity-engaged researchenvironmental equitynature-based solutionsstreet treesurban heat islands (UHIs)visualization technologies

Identifiers

PMID42306262
PMCPMC13268589

What OpenQuestion holds

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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.