Evidence map›Paper›PMID 26887639›Full record

ArticleScientific reports2016

Temporal dynamics of Puumala hantavirus infection in cyclic populations of bank voles.

Liina Voutilainen, Eva R Kallio, Jukka Niemimaa, Olli Vapalahti, Heikki Henttonen

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
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  6. Review
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  8. Article
  9. Article
  10. Review
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  13. Article
  14. The Invasive Bank Vole (Animals : an open access journal from MDPI · 2021
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Genetic Diversity ofViruses · 2021
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Liina VoutilainenNatural Resources Institute Finland, Vantaa, Finland.
Eva R KallioUniversity of Jyvaskyla, Department of Biological and Environmental Science, Finland.
Jukka NiemimaaNatural Resources Institute Finland, Vantaa, Finland.
Olli VapalahtiUniversity of Helsinki, Department of Virology, Finland.
Heikki HenttonenNatural Resources Institute Finland, Vantaa, Finland.
Natural Resources Institute Finland · FIUniversity of Helsinki · FIUniversity of Jyväskylä · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the dynamics of zoonotic pathogens in their reservoir host populations is a prerequisite for predicting and preventing human disease epidemics. The human infection risk of Puumala hantavirus (PUUV) is highest in northern Europe, where populations of the rodent host (bank vole, Myodes glareolus) undergo cyclic fluctuations. We conducted a 7-year capture-mark-recapture study to monitor seasonal and multiannual patterns of the PUUV infection rate in bank vole populations exhibiting a 3-year density cycle. Infected bank voles were most abundant in mid-winter months during years of increasing or peak host density. Prevalence of PUUV infection in bank voles exhibited a regular, seasonal pattern reflecting the annual population turnover and accumulation of infections within each year cohort. In autumn, the PUUV transmission rate tracked increasing host abundance, suggesting a density-dependent transmission. However, prevalence of PUUV infection was similar during the increase and peak years of the density cycle despite a twofold difference in host density. This may result from the high proportion of individuals carrying maternal antibodies constraining transmission during the cycle peak years. Our exceptionally intensive and long-term dataset provides a solid basis on which to develop models to predict the dynamic public health threat posed by PUUV in northern Europe.

Indexed as

Puumala virusSeasonsAnimalsArvicolinaeEuropeHemorrhagic Fever with Renal SyndromeHumansPopulation Dynamics

Identifiers

PMID26887639
PMCPMC4758042
OpenAlexW2293649375

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.