Evidence map›Paper›PMID 25418119›Full record

ReviewGenome biology2014

Epidemiologic data and pathogen genome sequences: a powerful synergy for public health.

Yonatan H Grad, Marc Lipsitch

Open access · goldAbstract readReview
In one paragraph

Review in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 3 pooled it
5.9field-weighted citation impact, top 3% 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

64 citing papers in PubMed, 3 syntheses or guidelines pooled it, 119 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Inferring Sexual Network Bridging Using Genomics: A Simulation Study.medRxiv : the preprint server for health sciences · 2026
    Article
  7. Probing Genomic Diversity ofFoods (Basel, Switzerland) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. CommensalAnnual review of microbiology · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Estimates of early outbreak-specific SARS-CoV-2 epidemiological parameters from genomic data.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Demographic fluctuations in bloodstreamnpj antimicrobials and resistance · 2024
    Article
  20. Article

4 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

2 authors at 2 institutions in 1 country.

Yonatan H Grad
Marc Lipsitch
Center for Disease Dynamics, Economics & Policy · USHarvard University · US

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
Genomic epidemiology of Neisseria gonorrhoeae with elevated MICs to cefiximeK08AI104767 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI GRAD, YONATAN H · 2013 to 2015
$547k
NIAID NIH HHS K08 AI104767NIAID NIH HHS T32 AI007061NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

Epidemiologists aim to inform the design of public health interventions with evidence on the evolution, emergence and spread of infectious diseases. Sequencing of pathogen genomes, together with date, location, clinical manifestation and other relevant data about sample origins, can contribute to describing nearly every aspect of transmission dynamics, including local transmission and global spread. The analyses of these data have implications for all levels of clinical and public health practice, from institutional infection control to policies for surveillance, prevention and treatment. This review highlights the range of epidemiological questions that can be addressed from the combination of genome sequence and traditional 'line lists' (tables of epidemiological data where each line includes demographic and clinical features of infected individuals). We identify opportunities for these data to inform interventions that reduce disease incidence and prevalence. By considering current limitations of, and challenges to, interpreting these data, we aim to outline a research agenda to accelerate the genomics-driven transformation in public health microbiology.

Indexed as

GenomicsHigh-Throughput Nucleotide SequencingBase SequenceChromosome MappingCommunicable DiseasesGenome, MicrobialGenome, ViralHumansPublic Health

Identifiers

PMID25418119
PMCPMC4282151
OpenAlexW2147038136

What OpenQuestion holds

Textmetadata
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.