Evidence map›Paper›PMID 30886145›Full record

ArticleNature communications2019

Effects of infection history on dengue virus infection and pathogenicity.

Tim K Tsang, Samson L Ghebremariam, Lionel Gresh, Aubree Gordon, M Elizabeth Halloran, Leah C Katzelnick, Diana Patricia Rojas, Guillermina Kuan, Angel Balmaseda, Jonathan Sugimoto and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2019. 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
–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

32 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
  6. Article
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  8. Article
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  10. Review
  11. Article
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  14. Dengue virus NS5 degrades ERC1 during infection to antagonize NF-kB activation.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. PeerJ · 2022
    Article
  19. Article
  20. Alignment-free sequence comparison for virus genomes based on location correlation coefficient.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    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

13 authors.

Tim K TsangDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL, 32611, USA.ORCID http://orcid.org/0000-0001-5037-6776
Samson L GhebremariamDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL, 32611, USA.
Lionel GreshSustainable Sciences Institute, Managua, 14007, Nicaragua.ORCID http://orcid.org/0000-0002-2333-1748
Aubree GordonDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-9352-7877
M Elizabeth HalloranVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
Leah C KatzelnickDivision of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, CA, 94720, USA.
Diana Patricia RojasDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL, 32611, USA.
Guillermina KuanCentro de Salud Sócrates Flores Vivas, Ministry of Health, Managua, 12014, Nicaragua.
Angel BalmasedaLaboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, 16064, Nicaragua.
Jonathan SugimotoVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
Eva HarrisDivision of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, CA, 94720, USA. eharris@berkeley.edu.ORCID http://orcid.org/0000-0002-7238-4037
Ira M LonginiDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL, 32611, USA. ilongini@ufl.edu.
Yang YangDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL, 32611, USA. yangyang@ufl.edu.

Funding

T Cell Responses Following DENV Natural Infections and Live-Attenuated Dengue Virus VaccinationP01AI106695 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Eva Harris · 2015 to 2026
$34.1M
Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2014 to 2018
$12.5M
Methods for Evaluating Vaccine EfficacyR37AI032042 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HALLORAN, M ELIZABETH · 2010 to 2019
$5.1M
Epidemiological, Clinical & Immunological Studies of Zika, dengue and chikungunyaR01AI099631 · NIAID · SUSTAINABLE SCIENCES INSTITUTE · PI BALMASEDA, ANGEL LAZARO · 2012 to 2021
$1.8M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
NIAID NIH HHS P01 AI106695NIAID NIH HHS R01 AI099631NIAID NIH HHS R37 AI032042NIGMS NIH HHS U54 GM111274NIH HHS R37-AI032042NIH HHS S10 OD020069NIH HHS U54-GM111274
6 · The paper itself

Abstract

The understanding of immunological interactions among the four dengue virus (DENV) serotypes and their epidemiological implications is often hampered by the lack of individual-level infection history. Using a statistical framework that infers full infection history, we analyze a prospective pediatric cohort in Nicaragua to characterize how infection history modulates the risks of DENV infection and subsequent clinical disease. After controlling for age, one prior infection is associated with 54% lower, while two or more are associated with 91% higher, risk of a new infection, compared to DENV-naive children. Children >8 years old have 55% and 120% higher risks of infection and subsequent disease, respectively, than their younger peers. Among children with ≥1 prior infection, intermediate antibody titers increase, whereas high titers lower, the risk of subsequent infection, compared with undetectable titers. Such complex dependency needs to be considered in the design of dengue vaccines and vaccination strategies.

Indexed as

AdolescentAge FactorsAntibodies, ViralChildChild, PreschoolCross ReactionsDengueDengue VirusFemaleHost Microbial InteractionsHumansMaleNicaraguaProspective StudiesRisk FactorsSerogroupAntibodies, Viral

Identifiers

PMID30886145
PMCPMC6423047

What OpenQuestion holds

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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.