Evidence map›Paper›PMID 29404206›Full record

ArticlePeerJ2018

Spatial and temporal patterns of human Puumala virus (PUUV) infections in Germany.

Sarah Cunze, Judith Kochmann, Thomas Kuhn, Raphael Frank, Dorian D Dörge, Sven Klimpel

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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  7. Analysis ofTropical medicine and infectious disease · 2022
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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

6 authors at 3 institutions in 1 country.

Sarah CunzeGoethe University Frankfurt, Institute of Ecology, Diversity and Evolution, Frankfurt am Main, Germany.
Judith KochmannGoethe University Frankfurt, Institute of Ecology, Diversity and Evolution, Frankfurt am Main, Germany.
Thomas KuhnGoethe University Frankfurt, Institute of Ecology, Diversity and Evolution, Frankfurt am Main, Germany.
Raphael FrankInstitute of Medical Microbiology and Hospital Hygiene, Heinrich-Heine Universität Düsseldorf, Düsseldorf, Germany.
Dorian D DörgeGoethe University Frankfurt, Institute of Ecology, Diversity and Evolution, Frankfurt am Main, Germany.
Sven KlimpelGoethe University Frankfurt, Institute of Ecology, Diversity and Evolution, Frankfurt am Main, Germany.
Senckenberg Biodiversity and Climate Research Centre · DEGoethe University Frankfurt · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorldwide, the number of recorded human hantavirus infections as well as the number of affected countries is on the rise. In Europe, most human hantavirus infections are caused by the Puumala virus (PUUV), with bank voles (

methodsIn the present study, dynamics of human PUUV infections between 2001 and 2015 were explored using ArcGIS in order to identify spatio-temporal patterns.

resultsPercentage cover of forest area was identified as an important factor for the spatial pattern, whereas beech mast was found explaining temporal patterns of human PUUV infections in Germany. High numbers of infections were recorded in 2007, 2010 and 2012 and areas with highest records were located in Baden-Wuerttemberg (southwest Germany) and North Rhine-Westphalia (western Germany).

conclusionMore reliable data on reservoir host distribution, pathogen verification as well as an increased awareness of physicians are some of the factors that should improve future human infection risk assessments in Germany.

Indexed as

HantavirusPuumala virusRodent-associated infectionsSpatio-temporal patterns

Identifiers

PMID29404206
PMCPMC5797684
OpenAlexW2786360661

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.