Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Application of a VP4/VP2-inferred transmission clusters in estimating the impact of interventions on rhinovirus transmission.

Virology journal - 4 Mar 2022

Ng Kim Tien, Ng Liang Jie, Oong Xiang Yong, Chook Jack Bee, Chan Kok Gan, Takebe Yutaka, Kamarulzaman Adeeba, Tee Kok Keng

Abstract excerpt

BACKGROUND: Despite the clinical burden attributable to rhinovirus (RV) infections, the RV transmission dynamics and the impact of interventions on viral transmission remain elusive. METHODS: A total of 3,935 nasopharyngeal specimens were examined, from which the VP4/VP2 gene was sequenced and genotyped. RV transmission clusters were reconstructed using the genetic threshold of 0.005 substitutions/site, estimated...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Enterovirus Infections
Share to Genotype

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Nasopharynx

Share to Phylogeny

Share to Picornaviridae Infections

Share to Respiratory Tract Infections

Share to Rhinovirus

Source

Open in PubMed Open full text

Identifiers

PMID: 35246187
DOI: 10.1186/s12985-022-01762-w
PMCID: PMC8894564

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Application of a VP4/VP2-inferred transmission clusters in estimating the impact of interventions on rhinovirus transmission.PMID 35246187Read ↗

Viral Load and Sequence Analysis Reveal the Symptom Severity, Diversity, and Transmission Clusters of Rhinovirus Infections.Semantic proximity Read ↗

Genomic epidemiology and evolution of rhinovirus in western Washington State, 2021-22Semantic proximity Read ↗

Genomic Epidemiology and Evolution of Rhinovirus in Western Washington State, 2021–2022Semantic proximity Read ↗

Transmission Networks and Intervention Effects From SARS-CoV-2 Genomic and Social Network Data in DenmarkSemantic proximity Read ↗

Differing impacts of global and regional responses on SARS-CoV-2 transmission cluster dynamicsSemantic proximity Read ↗

Spatio-temporal distribution of rhinovirus types in Kenya: a retrospective analysis, 2014.Semantic proximity Read ↗

Spatio-temporal distribution of rhinovirus types in Kenya: A retrospective analysis, 2014Semantic proximity Read ↗

The role of connectivity on COVID-19 preventive approachesSemantic proximity Read ↗

Phylogenetic-informed graph deep learning to classify dynamic transmission clusters in infectious disease epidemicsSemantic proximity Read ↗

Assessing the impact of SARS-CoV-2 prevention measures in Austrian schools by means of agent-based simulations calibrated to cluster tracing dataSemantic proximity Read ↗

The required size of cluster randomized trials of non-pharmaceutical interventions in epidemic settingsSemantic proximity Read ↗

Networks and Epidemics: Designing network-based intervention strategies from edge-based infection probabilitySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.