Evidence map›Paper›PMID 32528156›Full record

ReviewNature medicine2020

Ten recommendations for supporting open pathogen genomic analysis in public health.

Allison Black, Duncan R MacCannell, Thomas R Sibley, Trevor Bedford

Open access · hybridAbstract readReview
In one paragraph

Review in Nature medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
13.9field-weighted citation impact, top 1% of its field
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

65 citing papers in PubMed, 116 citations in OpenAlex.

  1. Article
  2. Toward an Open Analysis Ecosystem for Plasmodium Genomic Epidemiology.The American journal of tropical medicine and hygiene · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Allison BlackDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0002-6618-4127
Duncan R MacCannellOffice of Advanced Molecular Detection, Centers for Disease Control and Prevention, Atlanta, Georgia, USA. fms2@cdc.gov.
Thomas R SibleyVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID http://orcid.org/0000-0001-5269-2297
Trevor BedfordDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.
University of Washington · USCenters for Disease Control and Prevention · USFred Hutch Cancer Center · US

Funding

Real-time tracking of virus evolution for vaccine strain selection and epidemiological investigationR35GM119774 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2016 to 2025
$4.1M
National Science Foundation (NSF) DGE-1256082NIGMS NIH HHS R35 GM119774U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM119774-01
6 · The paper itself

Abstract

Increasingly, public-health agencies are using pathogen genomic sequence data to support surveillance and epidemiological investigations. As access to whole-genome sequencing has grown, greater amounts of molecular data have helped improve the ability to detect and track outbreaks of diseases such as COVID-19, investigate transmission chains and explore large-scale population dynamics, such as the spread of antibiotic resistance. However, the wide adoption of whole-genome sequencing also poses new challenges for public-health agencies that must adapt to support a new set of expertise, which means that the capacity to perform genomic data assembly and analysis has not expanded as widely as the adoption of sequencing itself. In this Perspective, we make recommendations for developing an accessible, unified informatic ecosystem to support pathogen genomic analysis in public-health agencies across income settings. We hope that the creation of this ecosystem will allow agencies to effectively and efficiently share data, workflows and analyses and thereby increase the reproducibility, accessibility and auditability of pathogen genomic analysis while also supporting agency autonomy.

Indexed as

GenomicsPopulation DynamicsBetacoronavirusCoronavirus InfectionsCOVID-19Disease OutbreaksDrug Resistance, MicrobialHumansPandemicsPneumonia, ViralSARS-CoV-2Whole Genome Sequencing

Identifiers

PMID32528156
PMCPMC7363500
OpenAlexW3000646425

What OpenQuestion holds

Textmetadata
LicenceTDM
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.