Evidence map›Paper›PMID 33023633›Full record

ArticleParasites & vectors2020

Vectors, molecular epidemiology and phylogeny of TBEV in Kazakhstan and central Asia.

Karlygash Abdiyeva, Nurkeldi Turebekov, Ravilya Yegemberdiyeva, Andrey Dmitrovskiy, Lyazzat Yeraliyeva, Zhanna Shapiyeva, Talgat Nurmakhanov, Yerlan Sansyzbayev, Guenter Froeschl, Michael Hoelscher and 3 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Transfusion-transmittedJournal of clinical microbiology · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. 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

13 authors.

Karlygash AbdiyevaCenter for International Health, Ludwig-Maximilians-Universität, Munich, Germany.
Nurkeldi TurebekovCenter for International Health, Ludwig-Maximilians-Universität, Munich, Germany.
Ravilya YegemberdiyevaKazakh National Medical University, Almaty, Kazakhstan.
Andrey DmitrovskiyKazakh National Medical University, Almaty, Kazakhstan.
Lyazzat YeraliyevaScientific Center for Phthisiopulmonology, Almaty, Kazakhstan.
Zhanna ShapiyevaScientific Practical Center of Sanitary Epidemiological Expertise and Monitoring, Almaty, Kazakhstan.
Talgat NurmakhanovNational Scientific Center for Highly Dangerous Infections, Almaty, Kazakhstan.
Yerlan SansyzbayevNational Scientific Center for Highly Dangerous Infections, Almaty, Kazakhstan.
Guenter FroeschlCenter for International Health, Ludwig-Maximilians-Universität, Munich, Germany.
Michael HoelscherDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany.
Josua ZinnerInstitute of Microbiology, Munich, Germany.
Sandra EssbauerInstitute of Microbiology, Munich, Germany. sandraessbauer@bundeswehr.org.
Stefan FreyInstitute of Microbiology, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the South of Kazakhstan, Almaty Oblast' (region) is endemic for tick-borne encephalitis, with 0.16-0.32 cases/100,000 population between 2016-2018. The purpose of this study was to determine the prevalence and circulating subtypes of tick-borne encephalitis virus (TBEV) in Almaty Oblast' and Kyzylorda Oblast'.

methodsIn 2015 we investigated 2341 ticks from 7 sampling sites for the presence of TBEV. Ticks were pooled in 501 pools and isolated RNA was tested for the presence of TBEV by RT-qPCR. For the positive samples, the E gene was amplified, sequenced and a phylogenetic analysis was carried out.

resultsA total of 48 pools were TBEV-positive by the RT-qPCR. TBEV-positive ticks were only detected in three districts of Almaty Oblast' and not in Kyzylorda Oblast'. The positive TBEV pools were found within Ixodes persulcatus, Haemaphysalis punctata and Dermacentor marginatus. These tick species prevailed only in Almaty Oblast' whereas in Kyzylorda Oblast' Hyalomma asiaticum and D. marginatus are endemic. The minimum infection rates (MIR) in the sampling sites were 4.4% in Talgar, 2.8% in Tekeli and 1.1% in Yenbekshikazakh, respectively. The phylogenetic analysis of the generated sequences indicates that TBEV strains found in Almaty Oblast' clusters in the Siberian subtype within two different clades.

conclusionsWe provided new data about the TBEV MIR in ticks in Almaty Oblast' and showed that TBEV clusters in the Siberian Subtype in two different clusters at the nucleotide level. These results indicate that there are different influences on the circulating TBEV strains in south-eastern Kazakhstan. These influences might be caused by different routes of the virus spread in ticks which might bring different genetic TBEV lineages to Kazakhstan. The new data about the virus distribution and vectors provided here will contribute to an improvement of monitoring of tick-borne infections and timely anti-epidemic measures in Kazakhstan.

Indexed as

Encephalitis Viruses, Tick-BorneAnimalsArachnid VectorsEncephalitis, Tick-BorneGenes, ViralHumansIxodesIxodidaeKazakhstanMolecular EpidemiologyNymphPathology, MolecularPhylogenyReal-Time Polymerase Chain ReactionDermacentor marginatusHaemaphysalis punctataIxodes persulcatusKazakhstanSiberian subtypeTBEVTickTick-borne encephalitis

Identifiers

PMID33023633
PMCPMC7539389

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.