Evidence map›Paper›PMID 23555203›Full record

ReviewPLoS computational biology2013

Viral phylodynamics.

Erik M Volz, Katia Koelle, Trevor Bedford

Abstract readReview
In one paragraph

Review in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 258 papers.

0numbers the graph read from it
0cells of the map it votes in
258citing 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

258 citing papers in PubMed.

  1. Trial
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  11. Review
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  19. Review
  20. Article

198 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

3 authors.

Erik M VolzDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America. erikvolz@umich.edu
Katia Koelle
Trevor Bedford

Funding

Estimation of HIV Transmission Dynamics Using Genetic Sequences of VirusK01AI091440 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VOLZ, ERIK MCCULLOUGH · 2010 to 2013
$521k
Medical Research Council MR/K010174/1NIAID NIH HHS 5-K01-AI-091440-03NIAID NIH HHS K01 AI091440
6 · The paper itself

Abstract

Viral phylodynamics is defined as the study of how epidemiological, immunological, and evolutionary processes act and potentially interact to shape viralphylogenies. Since the coining of the term in 2004, research on viral phylodynamics has focused on transmission dynamics in an effort to shed light on how these dynamics impact viral genetic variation. Transmission dynamics can be considered at the level of cells within an infected host, individual hosts within a population, or entire populations of hosts. Many viruses, especially RNA viruses, rapidly accumulate genetic variation because of short generation times and high mutation rates. Patterns of viral genetic variation are therefore heavily influenced by how quickly transmission occurs and by which entities transmit to one another. Patterns of viral genetic variation will also be affected by selection acting on viral phenotypes. Although viruses can differ with respect to many phenotypes, phylodynamic studies have to date tended to focus on a limited number of viral phenotypes. These include virulence phenotypes, phenotypes associated with viral transmissibility, cell or tissue tropism phenotypes, and antigenic phenotypes that can facilitate escape from host immunity. Due to the impact that transmission dynamics and selection can have on viral genetic variation, viral phylogenies can therefore be used to investigate important epidemiological, immunological, and evolutionary processes, such as epidemic spread[2], spatio-temporal dynamics including metapopulation dynamics[3], zoonotic transmission, tissue tropism[4], and antigenic drift[5]. The quantitative investigation of these processes through the consideration of viral phylogenies is the central aim of viral phylodynamics.

Indexed as

Evolution, MolecularVirus Physiological PhenomenaAdaptation, BiologicalComputational BiologyHumansModels, BiologicalPhylogenyVirus DiseasesViruses

Identifiers

PMID23555203
PMCPMC3605911

What OpenQuestion holds

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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.