Evidence map›Paper›PMID 32961660›Full record

ArticleInternational journal of environmental research and public health2020

Developing an Environmental Health Sciences COVID-19 Research Agenda: Results from the NIEHS Disaster Research Response (DR2) Work Group's Modified Delphi Method.

Nicole A Errett, Marilyn Howarth, Kimberley Shoaf, Megan Couture, Steven Ramsey, Richard Rosselli, Sara Webb, April Bennett, Aubrey Miller

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Wildfire Smoke Exposure During Pregnancy: Consensus-Building to Co-Create a Community-Engaged Study.International journal of environmental research and public health · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Lessons Learned from Battling COVID-19: The Korean Experience.International journal of environmental research and public health · 2020
    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

9 authors.

Nicole A ErrettDepartment of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, WA 98195, USA.ORCID 0000-0002-8247-8336
Marilyn HowarthCenter of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Kimberley ShoafDivision of Public Health, University of Utah, Salt Lake City, UT 84108, USA.
Megan CoutureSocial & Scientific Systems, Inc., Durham, NC 27703, USA.
Steven RamseySocial & Scientific Systems, Inc., Durham, NC 27703, USA.
Richard RosselliSocial & Scientific Systems, Inc., Durham, NC 27703, USA.
Sara WebbSocial & Scientific Systems, Inc., Durham, NC 27703, USA.
April BennettContractor, National Institute of Environmental Health Sciences; Bethesda, MD 20892, USA.
Aubrey MillerNational Institute of Environmental Health Sciences; Bethesda, MD 20892, USA.

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
NRSA Training CoreTL1TR002318 · NCATS · UNIVERSITY OF WASHINGTON · PI Megan Moore · 2017 to 2026
$8.4M
NCATS NIH HHS KL2 TR002317NCATS NIH HHS TL1 TR002318NCATS NIH HHS UL1 TR002319NIEHS NIH HHS 5P30ES007033-20NIEHS NIH HHS 5P30ES013508NIEHS NIH HHS P30 ES007033NIEHS NIH HHS P30 ES013508
6 · The paper itself

Abstract

Leveraging the community of practice recently established through the U.S. National Institute of Environmental Health Sciences (NIEHS) Disaster Research Response (DR2) working group, we used a modified Delphi method to identify and prioritize environmental health sciences Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and associated Coronavirus Disease 2019 (COVID-19) research questions. Twenty-six individuals with broad expertise across a variety of environmental health sciences subdisciplines were selected to participate among 45 self-nominees. In Round 1, panelists submitted research questions and brief justifications. In Round 2, panelists rated the priority of each question on a nine-point Likert scale. Responses were trichotomized into priority categories (low priority; medium priority; and high priority). A research question was determined to meet consensus if at least 69.2% of panelists rated it within the same priority category. Research needs that did not meet consensus in round 2 were redistributed for re-rating. Fourteen questions met consensus as high priority in round 2, and an additional 14 questions met consensus as high priority in round 3. We discuss the impact and limitations of using this approach to identify and prioritize research questions in the context of a disaster response.

Indexed as

CoronavirusCoronavirus InfectionsEnvironmental HealthPneumonia, ViralResearchBetacoronavirusCOVID-19Delphi TechniqueDisease OutbreaksHumansNational Institute of Environmental Health Sciences (U.S.)PandemicsSARS-CoV-2United StatesCOVID-19environmental healthresearch priorities

Identifiers

PMID32961660
PMCPMC7557963

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.