Evidence map›Paper›PMID 30044794›Full record

ArticlePloS one2018

Transmission of rhinovirus in the Utah BIG-LoVE families: Consequences of age and household structure.

Frederick R Adler, Chris Stockmann, Krow Ampofo, Andrew T Pavia, Carrie L Byington

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Vaccines for the common cold.The Cochrane database of systematic reviews · 2022
    Pooled it
  2. The rhinovirus puzzle: Linking virus and host factors to childhood asthma.The Journal of allergy and clinical immunology · 2026
    Review
  3. Review
  4. Article
  5. Risk of severe COVID-19 infection among adults with prior exposure to children.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
  7. Article
  8. Review
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 at 2 institutions in 1 country.

Frederick R AdlerDepartment of Mathematics and Department of Biology, University of Utah, Salt Lake City, UT, United States of America.ORCID 0000-0002-9022-3157
Chris StockmannDepartment of Pediatrics Medicine, University of Utah, Salt Lake City, UT, United States of America.
Krow AmpofoDepartment of Pediatrics Medicine, University of Utah, Salt Lake City, UT, United States of America.
Andrew T PaviaDepartment of Pediatrics Medicine, University of Utah, Salt Lake City, UT, United States of America.
Carrie L ByingtonHealth Sciences Center, Texas A&M University, College Station, TX, United States of America.
University of Utah · USTexas A&M Health Science Center · US

Funding

University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
Project 2: Targeting Cooperative Phenotypes Common in Spatial HeterogeneityU54CA209978 · NCI · UNIVERSITY OF UTAH · PI MOOS, PHILIP J · 2017 to 2021
$10.5M
STI and Respiratory Pathogen testing in nontraditional settingsU01AI082482 · NIAID · BIOFIRE DEFENSE, LLC. · PI BYINGTON, CARRIE L., CRISP, ROBERT JOHN · 2009 to 2012
$3.5M
Risk Stratification and Decision Support to Improve Care and Outcomes in Children with PneumoniaR01AI125642 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WILLIAMS, DEREK J. · 2017 to 2021
$3.3M
Explanatory models of CF Survival, Infection and Intermediate Clinical OutcomesR01HL125520 · NHLBI · UNIVERSITY OF UTAH · PI LIOU, THEODORE GEH-LU · 2015 to 2018
$1.4M
Decision Support for Evaluation of the Febrile InfantK24HD047249 · NICHD · UNIVERSITY OF UTAH · PI BYINGTON, CARRIE L. · 2005 to 2009
$617k
NCATS NIH HHS UL1 TR001067NCI NIH HHS U54 CA209978NHLBI NIH HHS R01 HL125520NIAID NIH HHS R01 AI125642NIAID NIH HHS U01 AI082482NICHD NIH HHS K24 HD047249
6 · The paper itself

Abstract

backgroundCommon cold viruses create significant health and financial burdens, and understanding key loci of transmission would help focus control strategies. This study (1) examines factors that influence when individuals transition from a negative to positive test (acquisition) or a positive to negative test (loss) of rhinovirus (HRV) and other respiratory tract viruses in 26 households followed weekly for one year, (2) investigates evidence for intrahousehold and interhousehold transmission and the characteristics of individuals implicated in transmission, and (3) builds data-based simulation models to identify factors that most strongly affect patterns of prevalence.

methodsWe detected HRV, coronavirus, paramyxovirus, influenza and bocavirus with the FilmArray polymerase chain reaction (PCR) platform (BioFire Diagnostics, LLC). We used logistic regression to find covariates affecting acquisition or loss of HRV including demographic characteristics of individuals, their household, their current infection status, and prevalence within their household and across the population. We apply generalized linear mixed models to test robustness of results.

resultsAcquisition of HRV was less probable in older individuals and those infected with a coronavirus, and higher with a higher proportion of other household members infected. Loss of HRV is reduced with a higher proportion of other household members infected. Within households, only children and symptomatic individuals show evidence for transmission, while between households only a higher number of infected older children (ages 5-19) increases the probability of acquisition. Coronaviruses, paramyxoviruses and bocavirus also show evidence of intrahousehold transmission. Simulations show that age-dependent susceptibility and transmission have the largest effects on mean HRV prevalence.

conclusionsChildren are most likely to acquire and most likely to transmit HRV both within and between households, with infectiousness concentrated in symptomatic children. Simulations predict that the spread of HRV and other respiratory tract viruses can be reduced but not eliminated by practices within the home.

Indexed as

Family CharacteristicsRhinovirusAdolescentAdultAge FactorsChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedOdds RatioPicornaviridae InfectionsRegression Analysis

Identifiers

PMID30044794
PMCPMC6059387
OpenAlexW2884262587

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.