Evidence map›Paper›PMID 30838129›Full record

ArticleVirus evolution2019

Incorporating sampling uncertainty in the geospatial assignment of taxa for virus phylogeography.

Matthew Scotch, Tasnia Tahsin, Davy Weissenbacher, Karen O'Connor, Arjun Magge, Matteo Vaiente, Marc A Suchard, Graciela Gonzalez-Hernandez

Abstract read
In one paragraph

Article in Virus evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Dynamics and Dispersal of Local Human Immunodeficiency Virus Epidemics Within San Diego and Across the San Diego-Tijuana Border.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Going back to the roots: Evaluating Bayesian phylogeographic models with discrete trait uncertainty.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Article
  13. Article
  14. 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 ScotchCollege of Health Solutions, Arizona State University, 550 N. 3rd St., Phoenix, AZ, USA.ORCID 0000-0001-5100-9724
Tasnia TahsinCollege of Health Solutions, Arizona State University, 550 N. 3rd St., Phoenix, AZ, USA.
Davy WeissenbacherDepartment of Biostatistics, Epidemiology, and Informatics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 423 Guardian Drive, Philadelphia, PA, USA.
Karen O'ConnorDepartment of Biostatistics, Epidemiology, and Informatics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 423 Guardian Drive, Philadelphia, PA, USA.
Arjun MaggeCollege of Health Solutions, Arizona State University, 550 N. 3rd St., Phoenix, AZ, USA.
Matteo VaienteCollege of Health Solutions, Arizona State University, 550 N. 3rd St., Phoenix, AZ, USA.
Marc A SuchardDepartment of Biomathematics, David Geffen School of Medicine, University of California, Los Angeles, 621 Charles E. Young Dr. South, Los Angeles, CA, USA.ORCID 0000-0001-9818-479X
Graciela Gonzalez-HernandezDepartment of Biostatistics, Epidemiology, and Informatics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 423 Guardian Drive, Philadelphia, PA, USA.

Funding

Tracking Evolution and Spread of Viral Genomes by Geospatial Observation ErrorR01AI117011 · NIAID · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI GONZALEZ HERNANDEZ, GRACIELA, SCOTCH, MATTHEW · 2016 to 2019
$1.9M
NIAID NIH HHS R01 AI117011
6 · The paper itself

Abstract

Discrete phylogeography using software such as BEAST considers the sampling location of each taxon as fixed; often to a single location without uncertainty. When studying viruses, this implies that there is no possibility that the location of the infected host for that taxa is somewhere else. Here, we relaxed this strong assumption and allowed for analytic integration of uncertainty for discrete virus phylogeography. We used automatic language processing methods to find and assign uncertainty to alternative potential locations. We considered two influenza case studies: H5N1 in Egypt; H1N1 pdm09 in North America. For each, we implemented scenarios in which 25 per cent of the taxa had different amounts of sampling uncertainty including 10, 30, and 50 per cent uncertainty and varied how it was distributed for each taxon. This includes scenarios that: (i) placed a specific amount of uncertainty on one location while uniformly distributing the remaining amount across all other candidate locations (correspondingly labeled

Indexed as

geographyinfluenza A virusphylogeography

Identifiers

PMID30838129
PMCPMC6395475

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.