Evidence map›Paper›PMID 36423141›Full record

ReviewViruses2022

Challenges and Opportunities for Global Genomic Surveillance Strategies in the COVID-19 Era.

Ted Ling-Hu, Estefany Rios-Guzman, Ramon Lorenzo-Redondo, Egon A Ozer, Judd F Hultquist

Abstract readReview
In one paragraph

Review in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Global Genomic Surveillance.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Global Genomic Surveillance: On-The-Ground Responses.Current topics in microbiology and immunology · 2026
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

5 authors.

Ted Ling-HuDivision of Infectious Diseases, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-5856-9158
Estefany Rios-GuzmanDivision of Infectious Diseases, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-1399-7546
Ramon Lorenzo-RedondoDivision of Infectious Diseases, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Egon A OzerDivision of Infectious Diseases, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Judd F HultquistDivision of Infectious Diseases, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0001-6424-4280

Funding

Targeting Viroporins and Coronavirus M ProteinU19AI171110 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nevan J Krogan · 2022 to 2026
$103.4M
Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Technology CoreU19AI135964 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LUIS A. Nunes AMARAL · 2018 to 2026
$24.7M
Assessing the Risk of SARS-CoV-2 Remdesivir ResistanceR21AI163912 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HULTQUIST, JUDD F · 2021 to 2022
$440k
NCATS NIH HHS UL1 TR001422NIAID NIH HHS R21 AI163912NIAID NIH HHS U19 AI135964NIAID NIH HHS U19 AI171110NIH HHS R21 AI163912NIH HHS U19 AI135964NIH HHS U19 AI171110
6 · The paper itself

Abstract

Global SARS-CoV-2 genomic surveillance efforts have provided critical data on the ongoing evolution of the virus to inform best practices in clinical care and public health throughout the pandemic. Impactful genomic surveillance strategies generally follow a multi-disciplinary pipeline involving clinical sample collection, viral genotyping, metadata linkage, data reporting, and public health responses. Unfortunately, current limitations in each of these steps have compromised the overall effectiveness of these strategies. Biases from convenience-based sampling methods can obfuscate the true distribution of circulating variants. The lack of standardization in genotyping strategies and bioinformatic expertise can create bottlenecks in data processing and complicate interpretation. Limitations and inconsistencies in clinical and demographic data collection and sharing can slow the compilation and limit the utility of comprehensive datasets. This likewise can complicate data reporting, restricting the availability of timely data. Finally, gaps and delays in the implementation of genomic surveillance data in the public health sphere can prevent officials from formulating effective mitigation strategies to prevent outbreaks. In this review, we outline current SARS-CoV-2 global genomic surveillance methods and assess roadblocks at each step of the pipeline to identify potential solutions. Evaluating the current obstacles that impede effective surveillance can improve both global coordination efforts and pandemic preparedness for future outbreaks.

Indexed as

COVID-19GenomicsHumansPandemicsPublic HealthSARS-CoV-2COVID-19epidemiologygenomic surveillanceglobal healthmolecular surveillancepublic health interventionSARS-CoV-2

Identifiers

PMID36423141
PMCPMC9698389

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.