Evidence map›Paper›PMID 22440846›Full record

ReviewCurrent opinion in virology2011

Toward a quantitative understanding of viral phylogeography.

Nuno Rodrigues Faria, Marc A Suchard, Andrew Rambaut, Philippe Lemey

Abstract readReview
In one paragraph

Review in Current opinion in virology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. Article
  2. Article
  3. Rapid evolution reveals long-range spread of SARS-CoV-2.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. When Everything Becomes Bigger: Big Data for Big Poultry Production.Animals : an open access journal from MDPI · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

6 more citing papers are in PubMed but not listed here.

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.

Nuno Rodrigues FariaDepartment of Microbiology and Immunology, Katholieke Universiteit Leuven, Leuven, Belgium.
Marc A Suchard
Andrew Rambaut
Philippe Lemey

Funding

Viral evolution in peropheral macrophages and brain during progression to AIDSR01NS063897 · NINDS · UNIVERSITY OF FLORIDA · PI SALEMI, MARCO · 2009 to 2021
$7.0M
Genomics, GPUs, and Next Generation Computational StatisticsR01HG006139 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOBEL, ERIC · 2011 to 2023
$5.1M
Bayesian Joint Estimation of Alignment and PhylogenyR01GM086887 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUCHARD, MARC A. · 2008 to 2012
$1.5M
European Research Council 260864NHGRI NIH HHS R01 HG006139NIGMS NIH HHS R01 GM086887NINDS NIH HHS NS063897NINDS NIH HHS R01 NS063897Wellcome Trust 095831
6 · The paper itself

Abstract

Phylogeographic approaches help uncover the imprint that spatial epidemiological processes leave in the genomes of fast evolving viruses. Recent Bayesian inference methods that consider phylogenetic diffusion of discretely and continuously distributed traits offer a unique opportunity to explore genotypic and phenotypic evolution in greater detail. To provide a taste of the recent advances in viral diffusion approaches, we highlight key findings arising at the intrahost, local and global epidemiological scales. We also outline future areas of research and discuss how these may contribute to a quantitative understanding of the phylodynamics of RNA viruses.

Indexed as

PhylogeographyAnimalsHumansPhylogenyRNA VirusesVirus Diseases

Identifiers

PMID22440846
PMCPMC3312803

What OpenQuestion holds

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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.