Evidence map›Paper›PMID 31073065›Full record

ArticleScience (New York, N.Y.)2019

Measles and the canonical path to elimination.

Matthew Graham, Amy K Winter, Matthew Ferrari, Bryan Grenfell, William J Moss, Andrew S Azman, C Jessica E Metcalf, Justin Lessler

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Infectious disease in an era of global change.Nature reviews. Microbiology · 2022
    Review
  14. Review
  15. Article
  16. Article
  17. Socioeconomic deprivation is inversely associated with measles incidence: a longitudinal small-area analysis, Germany, 2001 to 2017.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
    Article
  18. Article
  19. Article
  20. 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

8 authors.

Matthew GrahamDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-1966-3029
Amy K WinterDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0003-2737-7003
Matthew FerrariDepartment of Biology, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-5251-8168
Bryan GrenfellDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
William J MossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Andrew S AzmanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0001-8662-9077
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.ORCID 0000-0003-3166-7521
Justin LesslerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. justin@jhu.edu.ORCID 0000-0002-9741-8109

Funding

Forecasting tipping points in emerging and re-emerging infectious diseasesU01GM110744 · NIGMS · UNIVERSITY OF GEORGIA · PI DRAKE, JOHN M, EPUREANU, BOGDAN · 2014 to 2018
$3.2M
NIGMS NIH HHS U01 GM110744
6 · The paper itself

Abstract

All World Health Organization regions have set measles elimination goals. We find that as countries progress toward these goals, they undergo predictable changes in the size and frequency of measles outbreaks. A country's position on this "canonical path" is driven by both measles control activities and demographic factors, which combine to change the effective size of the measles-susceptible population, thereby driving the country through theoretically established dynamic regimes. Further, position on the path to elimination provides critical information for guiding vaccination efforts, such as the age profile of susceptibility, that could only otherwise be obtained through costly field studies or sophisticated analysis. Equipped with this information, countries can gain insight into their current and future measles epidemiology and select appropriate strategies to more quickly achieve elimination goals.

Indexed as

ChildDemographyDisease EradicationDisease SusceptibilityGlobal HealthHumansMeaslesMeasles VaccineVaccinationWorld Health OrganizationMeasles Vaccine

Identifiers

PMID31073065
PMCPMC7745123

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.