Evidence map›Paper›PMID 37515097›Full record

ArticleViruses2023

Genomic Surveillance of Recent Dengue Outbreaks in Colombo, Sri Lanka.

Sachith Maduranga, Braulio Mark Valencia, Chathurani Sigera, Thiruni Adikari, Praveen Weeratunga, Deepika Fernando, Senaka Rajapakse, Andrew R Lloyd, Rowena A Bull, Chaturaka Rodrigo

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 2 institutions in 2 countries.

Sachith MadurangaSchool of Biomedical Sciences, UNSW Sydney, Sydney, NSW 2052, Australia.ORCID 0000-0003-1511-883X
Braulio Mark ValenciaKirby Institute, UNSW Sydney, Sydney, NSW 2052, Australia.ORCID 0000-0001-6741-3908
Chathurani SigeraFaculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka.
Thiruni AdikariSchool of Biomedical Sciences, UNSW Sydney, Sydney, NSW 2052, Australia.
Praveen WeeratungaFaculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka.
Deepika FernandoFaculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka.ORCID 0000-0002-2535-9031
Senaka RajapakseFaculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka.
Andrew R LloydKirby Institute, UNSW Sydney, Sydney, NSW 2052, Australia.ORCID 0000-0001-6277-8887
Rowena A BullSchool of Biomedical Sciences, UNSW Sydney, Sydney, NSW 2052, Australia.ORCID 0000-0002-9844-3744
Chaturaka RodrigoSchool of Biomedical Sciences, UNSW Sydney, Sydney, NSW 2052, Australia.ORCID 0000-0003-2189-9177
UNSW Sydney · AUUniversity of Colombo · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

All four serotypes of the dengue virus (DENV1-4) cause a phenotypically similar illness, but serial infections from different serotypes increase the risk of severe disease. Thus, genomic surveillance of circulating viruses is important to detect serotype switches that precede community outbreaks of disproportionate magnitude. A phylogenetic analysis was conducted on near full length DENV genomes sequenced from serum collected from a prospective cohort study from the Colombo district, Sri Lanka during a 28-month period using Oxford nanopore technology, and the consensus sequences were analyzed using maximum likelihood and Bayesian evolutionary analysis. From 523 patients, 328 DENV sequences were successfully generated (DENV1: 43, DENV2: 219, DENV3:66). Most circulating sequences originated from a common ancestor that was estimated to have existed from around 2010 for DENV2 and around 2015/2016 for DENV1 and DENV3. Four distinct outbreaks coinciding with monsoon rain seasons were identified during the observation period mostly driven by DENV2 cosmopolitan genotype, except for a large outbreak in 2019 contributed by DENV3 genotype I. This serotype switch did not result in a more clinically severe illness. Phylogeographic analyses showed that all outbreaks started within Colombo city and then spread to the rest of the district. In 2019, DENV3 genotype I, previously, rarely reported in Sri Lanka, is likely to have contributed to a disease outbreak. However, this did not result in more severe disease in those infected, probably due to pre-existing DENV3 immunity in the community. Targeted vector control within Colombo city before anticipated seasonal outbreaks may help to limit the geographic spread of outbreaks.

Indexed as

DengueDengue VirusBayes TheoremDisease OutbreaksGenomicsHumansPhylogenyProspective StudiesSerogroupSri LankadengueepidemiologygenotypephylogeneticsphylogeographyserotypeSri Lanka

Identifiers

PMID37515097
PMCPMC10384240
OpenAlexW4381618059

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.