Evidence map›Paper›PMID 20706026›Full record

ArticleJournal of veterinary science2010

Prevalence of tick-borne encephalitis virus in ticks from southern Korea.

Sungjin Ko, Jun Gu Kang, Su Yeon Kim, Heung Chul Kim, Terry A Klein, Sung Tae Chong, William J Sames, Seok Min Yun, Young Ran Ju, Joon Seok Chae

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary science, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.8field-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

28 citing papers in PubMed, 80 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 5 institutions in 2 countries.

Sungjin KoVeterinary Internal Medicine, Research Institute and BK21 Program for Veterinary Science and College of Veterinary Medicine, Seoul National University, Seoul 151-742, Korea.
Jun Gu Kang
Su Yeon Kim
Heung Chul Kim
Terry A Klein
Sung Tae Chong
William J Sames
Seok Min Yun
Young Ran Ju
Joon Seok Chae
Korea National Institute of Health · KRSeoul National University · KR59th Medical Wing · USDefense Logistics Agency · USSeoul Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of tick-borne encephalitis virus (TBEV) in southern Korea was determined by collecting ticks using tick drags. A total of 4,077 of 6,788 ticks collected were pooled (649 pools) according to collection site, species, and developmental stage and assayed for TBEV. The TBEV protein E and NS5 gene fragments were detected using RT-nested PCR in six pools of nymphs collected from Jeju Island (2,491 ticks). The minimum field detection rates for TBEV were 0.17% and 0.14% for Haemaphysalis longicornis and Haemayphysalis. flava nymphs, respectively. The 252 bp NS5 and 477 bp protein E gene amplicons were sequenced. Phylogenetic analysis showed that the NS5 and protein E genes of the Jeju strain were clustered with Western subtype (98.0% and 99.4% identity, respectively). The Western subtype of TBEV is endemic in Korea, including Jeju Island. The study of vector and zoonotic host susceptibility to TBEV is required to better understand its potential impact on public health.

Indexed as

PhylogenyAnimalsArachnid VectorsBase SequenceDNA PrimersEncephalitis, Tick-BorneEncephalitis Viruses, Tick-BorneMolecular Sequence DataPrevalenceRepublic of KoreaReverse Transcriptase Polymerase Chain ReactionSequence Analysis, DNATicksViral Envelope ProteinsDNA PrimersViral Envelope Proteins

Identifiers

PMID20706026
PMCPMC2924480
OpenAlexW2007427015

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.