Evidence map›Paper›PMID 26460003›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Cross-immunity between strains explains the dynamical pattern of paramyxoviruses.

Samit Bhattacharyya, Per H Gesteland, Kent Korgenski, Ottar N Bjørnstad, Frederick R Adler

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

42 citing papers in PubMed, 88 citations in OpenAlex.

  1. Twenty-five years of human metapneumovirus research.Clinical microbiology reviews · 2026
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  17. Intra-hostMicrobiology spectrum · 2023
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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

5 authors at 3 institutions in 1 country.

Samit BhattacharyyaCenter for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA 16802; Department of Biology, University of Utah, Salt Lake City, UT 84112; szb16@psu.edu.
Per H GestelandDepartment of Pediatrics, School of Medicine, University of Utah, Salt Lake City, UT 84112; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112;
Kent KorgenskiDepartment of Pediatrics, School of Medicine, University of Utah, Salt Lake City, UT 84112; Pediatric Clinical Program, Intermountain Healthcare, Salt Lake City, UT 84111;
Ottar N BjørnstadCenter for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA 16802; Fogarty International Center, National Institutes of Health, Bethesda, MD 20892;
Frederick R AdlerDepartment of Biology, University of Utah, Salt Lake City, UT 84112; Department of Mathematics, University of Utah, Salt Lake City, UT 84112.
University of Utah · USCenter for Disease Dynamics, Economics & Policy · USNational Institutes of Health · US

Funding

Using Health Information Technology to Support Population-Based Clinical PracticeK08HS018538 · AHRQ · UNIVERSITY OF UTAH · PI GESTELAND, PER HANS · 2009 to 2013
$795k
AHRQ HHS K08 HS018538
6 · The paper itself

Abstract

Viral respiratory tract diseases pose serious public health problems. Our ability to predict and thus, be able to prepare for outbreaks is strained by the complex factors driving the prevalence and severity of these diseases. The abundance of diseases and transmission dynamics of strains are not only affected by external factors, such as weather, but also driven by interactions among viruses mediated by human behavior and immunity. To untangle the complex out-of-phase annual and biennial pattern of three common paramyxoviruses, Respiratory Syncytial Virus (RSV), Human Parainfluenza Virus (HPIV), and Human Metapneumovirus (hMPV), we adopt a theoretical approach that integrates ecological and immunological mechanisms of disease interactions. By estimating parameters from multiyear time series of laboratory-confirmed cases from the intermountain west region of the United States and using statistical inference, we show that models of immune-mediated interactions better explain the data than those based on ecological competition by convalescence. The strength of cross-protective immunity among viruses is correlated with their genetic distance in the phylogenetic tree of the paramyxovirus family.

Indexed as

Models, ImmunologicalCross ProtectionDisease OutbreaksHumansMetapneumovirusParamyxoviridae InfectionsPrevalenceRespiratory Syncytial VirusesRespirovirusSeasonsSpecies Specificitycross-immunityhuman parainfluenzaparamyxovirusespathogen interactionsrespiratory syncytial viruses

Identifiers

PMID26460003
PMCPMC4629340
OpenAlexW1690745086

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.