Evidence map›Paper›PMID 26858436›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Respiratory virus transmission dynamics determine timing of asthma exacerbation peaks: Evidence from a population-level model.

Rosalind M Eggo, James G Scott, Alison P Galvani, Lauren Ancel Meyers

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  5. Review
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  8. Real-time pandemic surveillance using hospital admissions and mobility data.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Use of Weather Variables in SARS-CoV-2 Transmission Studies.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    Review
  14. Special Disaster Issue.Journal of emergency nursing · 2020
    Article
  15. Socioeconomic bias in influenza surveillance.PLoS computational biology · 2020
    Article
  16. [Levels of airway inflammatory mediators in peripheral blood in infants and young children with wheezing].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2019
    Article
  17. Article
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  19. Article
  20. 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

4 authors at 4 institutions in 2 countries.

Rosalind M EggoDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78712; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom; r.eggo@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-0362-6717
James G ScottDepartment of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX 78712; McCombs School of Business, The University of Texas at Austin, Austin, TX 78712;
Alison P GalvaniCenter for Infectious Disease Modeling, Yale School of Public Health, New Haven, CT 06520;
Lauren Ancel MeyersDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78712; Santa Fe Institute, Santa Fe, NM 87501.
London School of Hygiene & Tropical Medicine · GBSanta Fe Institute · USThe University of Texas at Austin · USYale University · US

Funding

Impacts of Individual and Social Behavior on Influenza Dynamics and ControlU01GM087719 · NIGMS · YALE UNIVERSITY · PI GALVANI, ALISON P, MEYERS, LAUREN ANCEL · 2009 to 2018
$6.3M
NIGMS NIH HHS U01 GM087719NIGMS NIH HHS U01GM087719
6 · The paper itself

Abstract

Asthma exacerbations exhibit a consistent annual pattern, closely mirroring the school calendar. Although respiratory viruses--the "common cold" viruses--are implicated as a principal cause, there is little evidence to link viral prevalence to seasonal differences in risk. We jointly fit a common cold transmission model and a model of biological and environmental exacerbation triggers to estimate effects on hospitalization risk. Asthma hospitalization rate, influenza prevalence, and air quality measures are available, but common cold circulation is not; therefore, we generate estimates of viral prevalence using a transmission model. Our deterministic multivirus transmission model includes transmission rates that vary when school is closed. We jointly fit the two models to 7 y of daily asthma hospitalizations in adults and children (66,000 events) in eight metropolitan areas. For children, we find that daily viral prevalence is the strongest predictor of asthma hospitalizations, with transmission reduced by 45% (95% credible interval =41-49%) during school closures. We detect a transient period of nonspecific immunity between infections lasting 19 (17-21) d. For adults, hospitalizations are more variable, with influenza driving wintertime peaks. Neither particulate matter nor ozone was an important predictor, perhaps because of the large geographic area of the populations. The school calendar clearly and predictably drives seasonal variation in common cold prevalence, which results in the "back-to-school" asthma exacerbation pattern seen in children and indirectly contributes to exacerbation risk in adults. This study provides a framework for anticipating the seasonal dynamics of common colds and the associated risks for asthmatics.

Indexed as

AdolescentAdultAsthmaChildChild, PreschoolCommon ColdFemaleHospitalizationHumansMaleMiddle AgedModels, BiologicalModels, StatisticalPrevalenceRespiratory Tract InfectionsSeasonsasthmaBayesian inferencecommon coldmathematical modeltransmission

Identifiers

PMID26858436
PMCPMC4776522
OpenAlexW2258085700

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.