Evidence map›Paper›PMID 41742932›Full record

ArticleEnvironmental research, health : ERH2026

Data needs for accelerating research at the intersection of climate stressors and health: an online survey.

Emma L Gause, Keith R Spangler, Heather Clifford, Michaela Hoenig, Joshua S Cetron, Zachary Popp, Michelle Audirac, Julie Goldman, Amruta Nori-Sarma, Francesca Dominici and 3 more

Abstract read
In one paragraph

Article in Environmental research, health : ERH, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Emma L GauseCenter for Climate and Health, Boston University School of Public Health, Boston, MA, United States of America.ORCID https://orcid.org/0000-0002-1484-5296
Keith R SpanglerDepartment of Health Sciences, Boston University Sargent College of Health & Rehabilitation Sciences, Boston, MA, United States of America.ORCID https://orcid.org/0000-0002-8904-7280
Heather CliffordInstitute for Global Sustainability, Boston University, Boston, MA, United States of America.
Michaela HoenigDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America.
Joshua S CetronInstitute for Quantitative Social Science, Harvard University, Cambridge, MA, United States of America.ORCID https://orcid.org/0000-0003-2477-1961
Zachary PoppCenter for Climate and Health, Boston University School of Public Health, Boston, MA, United States of America.ORCID https://orcid.org/0009-0001-7935-5300
Michelle AudiracDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
Julie GoldmanCountway Library of Medicine, Harvard Medical School, Boston, MA, United States of America.ORCID https://orcid.org/0000-0001-8037-0623
Amruta Nori-SarmaDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Cambridge, MA, United States of America.
Francesca DominiciDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
Gregory A WelleniusCenter for Climate and Health, Boston University School of Public Health, Boston, MA, United States of America.ORCID https://orcid.org/0000-0003-0427-7376
Danielle BraunDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.ORCID https://orcid.org/0000-0002-5177-8598
Kevin LaneCenter for Climate and Health, Boston University School of Public Health, Boston, MA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the health impacts of climate stressors is challenging due to the inherently interdisciplinary nature of the effort and the complexity of data, methods, and software involved. We surveyed researchers who published in the climate and health space to identify major barriers to using and sharing climate and health data and code resources. Participants were identified using a PubMed query to return articles related to research in the field of climate and health. Using the PubMed API, we scraped email addresses for authors of matching published articles. 9195 authors were emailed a link to the online survey instrument, which took approximately 7 min to complete. We had an 11.8% response rate resulting in 1041 useable responses. Respondents were from over 75 different countries with only 16.4% working with US populations and were evenly represented between early, mid, and established career. The most desired resources were analysis-ready datasets and educational materials on data management and analysis. Personal constraints such as lack of time were a major barrier to sharing data or code. Our survey results suggest that investment in data creation as a professional service, knowledge sharing and collaboration, and research infrastructure will be enthusiastically adopted and help to accelerate the pace of research to practice.

Indexed as

climate and healthdata needsresearch infrastructure

Identifiers

PMID41742932
PMCPMC12930392

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.