Evidence map›Paper›PMID 29244005›Full record

ArticleBMC genomics2017

GHOST: global hepatitis outbreak and surveillance technology.

Atkinson G Longmire, Seth Sims, Inna Rytsareva, David S Campo, Pavel Skums, Zoya Dimitrova, Sumathi Ramachandran, Magdalena Medrzycki, Hong Thai, Lilia Ganova-Raeva and 10 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Viral Hepatitis Surveillance in the United States: Then, Now, and Looking Forward.Public health reports (Washington, D.C. : 1974) · 2025
    Article
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  6. Widespread hepatitis C virus transmission network among people who inject drugs in Kenya.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024
    Article
  7. Article
  8. Article
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  10. Article
  11. Identification of Genetically Related HCV Infections Among Self-Described Injecting Partnerships.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
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  18. Review
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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

20 authors at 4 institutions in 1 country.

Atkinson G LongmireMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Seth SimsMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Inna RytsarevaMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
David S CampoMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA. fyv6@cdc.gov.
Pavel SkumsMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Zoya DimitrovaMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Sumathi RamachandranMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Magdalena MedrzyckiMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Hong ThaiMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Lilia Ganova-RaevaMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Yulin LinMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Lili T PunkovaMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Amanda SueMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Massimo MirabitoNCHHSTP Informatics Office, Centers for Disease Control and Prevention, Atlanta, USA.
Silver WangNCHHSTP Informatics Office, Centers for Disease Control and Prevention, Atlanta, USA.
Robin TracyNCHHSTP Informatics Office, Centers for Disease Control and Prevention, Atlanta, USA.
Victor BoletCenters for Disease Control and Prevention, ITSO Application Hosting Branch, Atlanta, USA.
Thom SukalacNCHHSTP Informatics Office, Centers for Disease Control and Prevention, Atlanta, USA.
Chris LynbergIT Research and Development Office, Centers for Disease Control and Prevention, Atlanta, USA.
Yury KhudyakovMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.
Centers for Disease Control and Prevention · USNorthrop Grumman (United States) · USNational Center for HIV/AIDS Viral Hepatitis STD and TB Prevention · USGeorgia State University · US

Funding

QUBBD: VIRAL EVOLUTION AND SPREAD OF INFECTIOUS DISEASE IN COMPLEX NETWORK: BIG DATA ANALYSIS AND MODELINGR01EB025022 · NIBIB · GEORGIA STATE UNIVERSITY · PI SKUMS, PAVEL, VANNBERG, FREDRIK · 2017 to 2019
$891k
6 · The paper itself

Abstract

backgroundHepatitis C is a major public health problem in the United States and worldwide. Outbreaks of hepatitis C virus (HCV) infections associated with unsafe injection practices, drug diversion, and other exposures to blood are difficult to detect and investigate. Effective HCV outbreak investigation requires comprehensive surveillance and robust case investigation. We previously developed and validated a methodology for the rapid and cost-effective identification of HCV transmission clusters. Global Hepatitis Outbreak and Surveillance Technology (GHOST) is a cloud-based system enabling users, regardless of computational expertise, to analyze and visualize transmission clusters in an independent, accurate and reproducible way.

resultsWe present and explore performance of several GHOST implemented algorithms using next-generation sequencing data experimentally obtained from hypervariable region 1 of genetically related and unrelated HCV strains. GHOST processes data from an entire MiSeq run in approximately 3 h. A panel of seven specimens was used for preparation of six repeats of MiSeq libraries. Testing sequence data from these libraries by GHOST showed a consistent transmission linkage detection, testifying to high reproducibility of the system. Lack of linkage among genetically unrelated HCV strains and constant detection of genetic linkage between HCV strains from known transmission pairs and from follow-up specimens at different levels of MiSeq-read sampling indicate high specificity and sensitivity of GHOST in accurate detection of HCV transmission.

conclusionsGHOST enables automatic extraction of timely and relevant public health information suitable for guiding effective intervention measures. It is designed as a virtual diagnostic system intended for use in molecular surveillance and outbreak investigations rather than in research. The system produces accurate and reproducible information on HCV transmission clusters for all users, irrespective of their level of bioinformatics expertise. Improvement in molecular detection capacity will contribute to increasing the rate of transmission detection, thus providing opportunity for rapid, accurate and effective response to outbreaks of hepatitis C. Although GHOST was originally developed for hepatitis C surveillance, its modular structure is readily applicable to other infectious diseases. Worldwide availability of GHOST for the detection of HCV transmissions will foster deeper involvement of public health researchers and practitioners in hepatitis C outbreak investigation.

Indexed as

Cloud ComputingEpidemiological MonitoringInternationalityAlgorithmsComputational BiologyDisease OutbreaksHepatitis CHumansSoftwareUser-Computer InterfaceCloudHCVHVR1Liver cancerOutbreak detectionPublic healthSurveillanceThresholdTransmissionVirtual diagnostics

Identifiers

PMID29244005
PMCPMC5731493
OpenAlexW2772837219

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.