Evidence map›Paper›PMID 27375595›Full record

ArticleFrontiers in microbiology2016

DGV: Dengue Genographic Viewer.

Akifumi Yamashita, Tetsuya Sakamoto, Tsuyoshi Sekizuka, Kengo Kato, Tomohiko Takasaki, Makoto Kuroda

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Understanding dengue virus evolution to support epidemic surveillance and counter-measure development.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Review
  14. Article
  15. Differential replicative fitness of the four dengue virus serotypes circulating in Colombia in human liver Huh7 cells.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

6 authors.

Akifumi YamashitaPathogen Genomics Center, National Institute of Infectious Diseases Tokyo, Japan.
Tetsuya SakamotoPathogen Genomics Center, National Institute of Infectious DiseasesTokyo, Japan; Remote Operations Services Department, CTC System Management CorporationTokyo, Japan.
Tsuyoshi SekizukaPathogen Genomics Center, National Institute of Infectious Diseases Tokyo, Japan.
Kengo KatoPathogen Genomics Center, National Institute of Infectious Diseases Tokyo, Japan.
Tomohiko TakasakiDepartment of Virology I, National Institute of Infectious Diseases Tokyo, Japan.
Makoto KurodaPathogen Genomics Center, National Institute of Infectious Diseases Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue viruses (DENVs) and their vectors are widely distributed throughout the tropical and subtropical regions of the world. An autochthonous case of DENV was reported in Tokyo, Japan, in 2014, for the first time in 70 years. A comprehensive database of DENV sequences containing both serotype and genotype data and epidemiological data is crucial to trace DENV outbreak isolates and promptly respond to outbreaks. We constructed a DENV database containing the serotype, genotype, year and country/region of collection by collecting all publically available DENV sequence information from the National Center for Biotechnology Information (NCBI) and assigning genotype information. We also implemented the web service Dengue Genographic Viewer (DGV), which shows the geographical distribution of each DENV genotype in a user-specified time span. DGV also assigns the serotype and genotype to a user-specified sequence by performing a homology search against the curated DENV database, and shows its homologous sequences with the geographical position and year of collection. DGV also shows the distribution of DENV-infected entrants to Japan by plotting epidemiological data from the Infectious Agents Surveillance Report (IASR), Japan. This overview of the DENV genotype distribution may aid in planning for the control of DENV infections. DGV is freely available online at: (https://gph.niid.go.jp/geograph/dengue/content/genomemap).

Indexed as

dengue virusgenographgenotypingNGSweb service

Identifiers

PMID27375595
PMCPMC4894901

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.