Evidence map›Paper›PMID 32047873›Full record

ArticleGates open research2019

ClinEpiDB: an open-access clinical epidemiology database resource encouraging online exploration of complex studies.

Emmanuel Ruhamyankaka, Brian P Brunk, Grant Dorsey, Omar S Harb, Danica A Helb, John Judkins, Jessica C Kissinger, Brianna Lindsay, David S Roos, Emmanuel James San and 3 more

Abstract read
In one paragraph

Article in Gates open research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Development of prediction models to identify hotspots of schistosomiasis in endemic regions to guide mass drug administration.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Characterizing the Vector Data Ecosystem.Journal of medical entomology · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Article
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  19. Article
  20. 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

13 authors.

Emmanuel RuhamyankakaInfectious Diseases Research Collaboration, Kampala, Uganda.ORCID https://orcid.org/0000-0003-0472-0657
Brian P BrunkDepartment of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Grant DorseyDepartment of Medicine, San Francisco General Hospital, University of California, San Francisco, CA, 94110, USA.ORCID https://orcid.org/0000-0003-0740-0317
Omar S HarbDepartment of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID https://orcid.org/0000-0003-4446-6200
Danica A HelbDepartment of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
John JudkinsDepartment of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Jessica C KissingerCenter for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA, 30602, USA.
Brianna LindsayDepartment of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID https://orcid.org/0000-0001-6116-3864
David S RoosDepartment of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID https://orcid.org/0000-0001-6725-4089
Emmanuel James SanInfectious Diseases Research Collaboration, Kampala, Uganda.
Christian J StoeckertDepartment of Genetics, University of Pennsylvania School of Medicine, Philadelphia, PA, 19104, USA.
Jie ZhengDepartment of Genetics, University of Pennsylvania School of Medicine, Philadelphia, PA, 19104, USA.
Sheena Shah TomkoDepartment of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID https://orcid.org/0000-0002-2355-2794

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joaniter Immaculate Nankabirwa · 2010 to 2026
$29.3M
NIAID NIH HHS HHSN272201400030CNIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

The concept of open data has been gaining traction as a mechanism to increase data use, ensure that data are preserved over time, and accelerate discovery. While epidemiology data sets are increasingly deposited in databases and repositories, barriers to access still remain. ClinEpiDB was constructed as an open-access online resource for clinical and epidemiologic studies by leveraging the extensive web toolkit and infrastructure of the Eukaryotic Pathogen Database Resources (EuPathDB; a collection of databases covering 170+ eukaryotic pathogens, relevant related species, and select hosts) combined with a unified semantic web framework. Here we present an intuitive point-and-click website that allows users to visualize and subset data directly in the ClinEpiDB browser and immediately explore potential associations. Supporting study documentation aids contextualization, and data can be downloaded for advanced analyses. By facilitating access and interrogation of high-quality, large-scale data sets, ClinEpiDB aims to spur collaboration and discovery that improves global health.

Indexed as

ClinEpiDBData visualizationEnteric diseaseEpidemiology databaseFAIR dataInfectious diseasesMalaria

Identifiers

PMID32047873
PMCPMC6993508

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.