Evidence map›Paper›PMID 29129921›Full record

ReviewNature reviews. Genetics2018

Towards a genomics-informed, real-time, global pathogen surveillance system.

Jennifer L Gardy, Nicholas J Loman

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 383 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
383citing papers in PubMed, 2 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

383 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Integrated framework to study genomic surveillance of selective sweeps in multivariants dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026
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323 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.

Jennifer L GardyBritish Columbia Centre for Disease Control, Vancouver, British Columbia V5Z 4R4, Canada.
Nicholas J LomanInstitute of Microbiology and Infection, University of Birmingham, Birmingham B15 2TT, UK.

Funding

Medical Research Council MC_PC_15100Medical Research Council MR/L015080/1Medical Research Council MR/M501621/1
6 · The paper itself

Abstract

The recent Ebola and Zika epidemics demonstrate the need for the continuous surveillance, rapid diagnosis and real-time tracking of emerging infectious diseases. Fast, affordable sequencing of pathogen genomes - now a staple of the public health microbiology laboratory in well-resourced settings - can affect each of these areas. Coupling genomic diagnostics and epidemiology to innovative digital disease detection platforms raises the possibility of an open, global, digital pathogen surveillance system. When informed by a One Health approach, in which human, animal and environmental health are considered together, such a genomics-based system has profound potential to improve public health in settings lacking robust laboratory capacity.

Indexed as

AnimalsCommunicable Diseases, EmergingComputer SystemsEnvironmental HealthEpidemicsGenomicsHemorrhagic Fever, EbolaHigh-Throughput Nucleotide SequencingHumansMetagenomicsModels, BiologicalMolecular EpidemiologyPublic HealthPublic Health Surveillance

Identifiers

PMID29129921
PMCPMC7097748

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.