Evidence map›Paper›PMID 29228134›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2018

Genotype-Specific Measles Transmissibility: A Branching Process Analysis.

Sarah F Ackley, Jill K Hacker, Wayne T A Enanoria, Lee Worden, Seth Blumberg, Travis C Porco, Jennifer Zipprich

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. What's going on with measles?Journal of virology · 2024
    Review
  6. Unwelcome return: analyzing the recent rise of measles cases in the United States.Proceedings (Baylor University. Medical Center) · 2024
    Review
  7. Article
  8. SARS-CoV-2 Transmission and Prevention in the Era of the Delta Variant.Infectious disease clinics of North America · 2022
    Review
  9. Dynamical Modeling as a Tool for Inferring Causation.American journal of epidemiology · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Measles vaccine immune escape: Should we be concerned?European journal of epidemiology · 2019
    Article
  14. Measles, the need for a paradigm shift.European journal of epidemiology · 2019
    Review
  15. Measles outbreak in Gothenburg urban area, Sweden, 2017 to 2018: low viral load in breakthrough infections.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    Article
  16. 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

7 authors.

Sarah F AckleyFrancis I. Proctor Foundation, University of California, San Francisco.
Jill K HackerCalifornia Department of Public Health, Richmond.
Wayne T A EnanoriaDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Lee WordenFrancis I. Proctor Foundation, University of California, San Francisco.
Seth BlumbergFrancis I. Proctor Foundation, University of California, San Francisco.
Travis C PorcoFrancis I. Proctor Foundation, University of California, San Francisco.
Jennifer ZipprichCalifornia Department of Public Health, Richmond.

Funding

"Modeling contact investigation and rapid response"U01GM087728 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PORCO, TRAVIS CHRISTIAN · 2011 to 2015
$2.2M
Application of Branching Processes to Measles in CaliforniaF31GM120985 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ACKLEY, SARAH · 2016 to 2017
$77k
NIGMS NIH HHS F31 GM120985NIGMS NIH HHS U01 GM087728
6 · The paper itself

Abstract

Background: Substantial heterogeneity in measles outbreak sizes may be due to genotype-specific transmissibility. Using a branching process analysis, we characterize differences in measles transmission by estimating the association between genotype and the reproduction number R among postelimination California measles cases during 2000-2015 (400 cases, 165 outbreaks). Methods: Assuming a negative binomial secondary case distribution, we fit a branching process model to the distribution of outbreak sizes using maximum likelihood and estimated the reproduction number R for a multigenotype model. Results: Genotype B3 is found to be significantly more transmissible than other genotypes (P = .01) with an R of 0.64 (95% confidence interval [CI], .48-.71), while the R for all other genotypes combined is 0.43 (95% CI, .28-.54). This result is robust to excluding the 2014-2015 outbreak linked to Disneyland theme parks (referred to as "outbreak A" for conciseness and clarity) (P = .04) and modeling genotype as a random effect (P = .004 including outbreak A and P = .02 excluding outbreak A). This result was not accounted for by season of introduction, age of index case, or vaccination of the index case. The R for outbreaks with a school-aged index case is 0.69 (95% CI, .52-.78), while the R for outbreaks with a non-school-aged index case is 0.28 (95% CI, .19-.35), but this cannot account for differences between genotypes. Conclusions: Variability in measles transmissibility may have important implications for measles control; the vaccination threshold required for elimination may not be the same for all genotypes or age groups.

Indexed as

Disease OutbreaksModels, TheoreticalVaccinationAdolescentBinomial DistributionCaliforniaChildDisease EradicationGenotypeHumansLikelihood FunctionsMeaslesMeasles VaccineMeasles virusSpecies SpecificityMeasles Vaccine

Identifiers

PMID29228134
PMCPMC5889020

What OpenQuestion holds

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Registered trials

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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.