Evidence map›Paper›PMID 37293986›Full record

ArticleEpidemiology and infection2023

Global and local evolutionary dynamics of Dengue virus serotypes 1, 3, and 4.

Arshi Islam, Farah Deeba, Bansidhar Tarai, Ekta Gupta, Irshad H Naqvi, Mohd Abdullah, Ravins Dohare, Anwar Ahmed, Fahad N Almajhdi, Tajamul Hussain and 1 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

11 authors.

Arshi IslamCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Farah DeebaCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Bansidhar TaraiDepartment of Microbiology and Infection Control, Max Superspeciality Hospital, New Delhi, India.
Ekta GuptaDepartment of Clinical Virology, Institute of Liver and Biliary Sciences, New Delhi, India.ORCID 0000-0002-5237-216X
Irshad H NaqviDr. M.A. Ansari Health Centre, Jamia Millia Islamia, New Delhi, India.
Mohd AbdullahDr. M.A. Ansari Health Centre, Jamia Millia Islamia, New Delhi, India.
Ravins DohareCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Anwar AhmedCentre of Excellence in Biotechnology Research, College of Science, King Saud University, Riyadh, Saudi Arabia.
Fahad N AlmajhdiCentre of Excellence in Biotechnology Research, College of Science, King Saud University, Riyadh, Saudi Arabia.
Tajamul HussainCentre of Excellence in Biotechnology Research, College of Science, King Saud University, Riyadh, Saudi Arabia.
Shama ParveenCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.ORCID 0000-0002-6359-0760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary studies on Dengue virus (DENV) in endemic regions are necessary since naturally occurring mutations may lead to genotypic variations or shifts in serotypes, which may lead to future outbreaks. Our study comprehends the evolutionary dynamics of DENV, using phylogenetic, molecular clock, skyline plots, network, selection pressure, and entropy analyses based on partial CprM gene sequences. We have collected 250 samples, 161 in 2017 and 89 in 2018. Details for the 2017 samples were published in our previous article and that of 2018 are presented in this study. Further evolutionary analysis was carried out using 800 sequences, which incorporate the study and global sequences from GenBank: DENV-1 (

Indexed as

DengueDengue VirusBayes TheoremGenotypeHumansPhylogenySerogroupBayesian analysisDengue virusgenotypephylogenetic analysisserotype

Identifiers

PMID37293986
PMCPMC10540175

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.