Evidence map›Paper›PMID 30151241›Full record

ArticleVirus evolution2018

On the importance of negative controls in viral landscape phylogeography.

Simon Dellicour, Bram Vrancken, Nídia S Trovão, Denis Fargette, Philippe Lemey

Abstract read
In one paragraph

Article in Virus evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Comparative performance of viral landscape phylogeography approaches.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Modeling the velocity of evolving lineages and predicting dispersal patterns.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Phylogeographic reconstruction of the emergence and spread of Powassan virus in the northeastern United States.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Article
  12. 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
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

5 authors.

Simon DellicourLaboratory for Clinical and Epidemiological Virology, Rega Institute, KU Leuven, Leuven, Belgium.ORCID 0000-0001-9558-1052
Bram VranckenLaboratory for Clinical and Epidemiological Virology, Rega Institute, KU Leuven, Leuven, Belgium.ORCID 0000-0001-6547-5283
Nídia S TrovãoLaboratory for Clinical and Epidemiological Virology, Rega Institute, KU Leuven, Leuven, Belgium.ORCID 0000-0002-2106-1166
Denis FargetteInstitut de Recherche pour le Développement (IRD), UMR IPME (IRD, CIRAD, Université de Montpellier), BP 64051 34394 Montpellier cedex 5, France.
Philippe LemeyLaboratory for Clinical and Epidemiological Virology, Rega Institute, KU Leuven, Leuven, Belgium.ORCID 0000-0003-2826-5353

Funding

Wellcome Trust
6 · The paper itself

Abstract

Phylogeographic reconstructions are becoming an established procedure to evaluate the factors that could impact virus spread. While a discrete phylogeographic approach can be used to test predictors of transition rates among discrete locations, alternative continuous phylogeographic reconstructions can also be exploited to investigate the impact of underlying environmental layers on the dispersal velocity of a virus. The two approaches are complementary tools for studying pathogens' spread, but in both cases, care must be taken to avoid misinterpretations. Here, we analyse rice yellow mottle virus (RYMV) sequence data from West and East Africa to illustrate how both approaches can be used to study the impact of environmental factors on the virus' dispersal frequency and velocity. While it was previously reported that host connectivity was a major determinant of RYMV spread, we show that this was a false positive result due to the lack of appropriate negative controls. We also discuss and compare the phylodynamic tools currently available for investigating the impact of environmental factors on virus spread.

Indexed as

landscape phylogeographymolecular epidemiologyRYMVviral phylogeography

Identifiers

PMID30151241
PMCPMC6101606

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.