Evidence map›Paper›PMID 25341661›Full record

ArticleViruses2014

Identification of factors influencing the Puumala virus seroprevalence within its reservoir in aMontane Forest Environment.

Bryan R Thoma, Jörg Müller, Claus Bässler, Enrico Georgi, Anja Osterberg, Susanne Schex, Christian Bottomley, Sandra S Essbauer

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

8 authors at 5 institutions in 2 countries.

Bryan R ThomaBundeswehr Institute of Microbiology, Neuherbergstr. 11, 80937 Munich, Germany. bryanthoma@bundeswehr.org.
Jörg MüllerBavarian Forest National Park, Freyunger Str. 2, 94481 Grafenau, Germany. joerg.mueller@npv-bw.bayern.de.
Claus BässlerBavarian Forest National Park, Freyunger Str. 2, 94481 Grafenau, Germany. claus.baessler@npv-bw.bayern.de.
Enrico GeorgiBundeswehr Institute of Microbiology, Neuherbergstr. 11, 80937 Munich, Germany. enrico1georgi@bundeswehr.org.
Anja OsterbergBundeswehr Institute of Microbiology, Neuherbergstr. 11, 80937 Munich, Germany. anja.osterberg@web.de.
Susanne SchexBundeswehr Institute of Microbiology, Neuherbergstr. 11, 80937 Munich, Germany. susanneschex@yahoo.com.au.
Christian BottomleyMRC Tropical Epidemiology Group, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, UK. christian.bottomley@lshtm.ac.uk.
Sandra S EssbauerBundeswehr Institute of Microbiology, Neuherbergstr. 11, 80937 Munich, Germany. sandraessbauer@bundeswehr.org.
Universität der Bundeswehr München · DEInstitut für Mikrobiologie der BundeswehrBavarian Forest National Park · DELondon School of Hygiene & Tropical Medicine · GBTechnical University of Munich · DE

Funding

Medical Research Council MR/K012126/1
6 · The paper itself

Abstract

Puumala virus (PUUV) is a major cause of mild to moderate haemorrhagic fever with renal syndrome and is transmitted by the bank vole (Myodes glareolus). There has been a high cumulative incidence of recorded human cases in South-eastern Germany since 2004 when the region was first recognized as being endemic for PUUV. As the area is well known for outdoor recreation and the Bavarian Forest National Park (BFNP) is located in the region, the increasing numbers of recorded cases are of concern. To understand the population and environmental effects on the seroprevalence of PUUV in bank voles we trapped small mammals at 23 sites along an elevation gradient from 317 to 1420m above sea level. Generalized linear mixed effects models(GLMEM) were used to explore associations between the seroprevalence of PUUV in bank voles and climate and biotic factors. We found that the seroprevalence of PUUV was low (6%-7%) in 2008 and 2009, and reached 29% in 2010. PUUV seroprevalence was positively associated with the local species diversity and deadwood layer, and negatively associated with mean annual temperature, mean annual solar radiation, and herb layer. Based on these findings, an illustrative risk map for PUUV seroprevalence prediction in bank voles was created for an area of the national park. The map will help when planning infrastructure in the national park (e.g., huts, shelters, and trails).

Indexed as

AnimalsAntibodies, ViralArvicolinaeClimateDisease ReservoirsEnvironmentForestsGeographyGermanyHemorrhagic Fever with Renal SyndromeHumansIncidencePopulation DensityPuumala virusRodent DiseasesSeroepidemiologic StudiesAntibodies, Viral

Identifiers

PMID25341661
PMCPMC4213572
OpenAlexW2096903197

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.