Evidence map›Paper›PMID 31411134›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2019

Molecular and epidemiological characteristics of human Puumala and Dobrava-Belgrade hantavirus infections, Germany, 2001 to 2017.

Mirko Faber, Detlev H Krüger, Brita Auste, Klaus Stark, Jörg Hofmann, Sabrina Weiss

Open access · diamondAbstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.5field-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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  16. [The unusual mimicker of a polymyositis].Zeitschrift fur Rheumatologie · 2022
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  18. Fatal cases of hemorrhagic fever with renal syndrome in Udmurtia, Russia, 2010 to 2019.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 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.

Mirko FaberDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Detlev H KrügerCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Virology, Berlin, Germany.
Brita AusteCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Virology, Berlin, Germany.
Klaus StarkDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Jörg HofmannCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Virology, Berlin, Germany.
Sabrina WeissCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Virology, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEHumboldt-Universität zu Berlin · DERobert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionTwo hantavirus species, Puumala (PUUV) and Dobrava-Belgrade (DOBV) virus (genotype Kurkino), are endemic in Germany. Recent PUUV outbreaks raised questions concerning increasing frequency of outbreaks and expansion of PUUV endemic areas.AimsTo describe the epidemiology of human PUUV and DOBV infections in Germany.MethodsWe conducted an observational retrospective study analysing national hantavirus surveillance data notified to the national public health institute and hantavirus nucleotide sequences from patients collected at the national consultation laboratory between 2001 and 2017. Matching molecular sequences with surveillance data, we conducted epidemiological, phylogenetic and phylogeographic analyses.ResultsIn total, 12,148 cases of symptomatic hantavirus infection were notified 2001-17 (mean annual incidence: 0.87/100,000; range: 0.09-3.51). PUUV infections showed a highly variable space-time disease incidence pattern, causing large outbreaks every 2-3 years with peaks in early summer and up to 3,000 annually reported cases. Sex-specific differences in disease presentation were observed. Of 202 PUUV nucleotide sequences obtained from cases, 189 (93.6%) fall into well-supported phylogenetic clusters corresponding to different endemic areas in Germany. DOBV infections caused few, mostly sporadic cases in autumn and winter in the north and east of Germany.ConclusionsThe frequency of PUUV outbreaks increased between 2001 and 2017 but our data does not support the suggested expansion of endemic areas. The epidemiology of PUUV and DOBV-Kurkino infections differs in several aspects. Moreover, the latter are relatively rare and combining efforts and data of several countries to identify risk factors and develop specific recommendations for prevention could be worthwhile.

Indexed as

AdolescentAdultAgedAged, 80 and overAntibodies, ViralChildChild, PreschoolDisease NotificationDisease OutbreaksFemaleGenotypeGermanyHantavirus InfectionsHemorrhagic Fever with Renal SyndromeHumansInfantAntibodies, ViralRNA, ViralCentral EuropeDisease NotificationDobrava-belgrade virusEnvironmental ExposureGermanyHantavirusHFRSHumansMolecular epidemiologyOutbreakPhylogeographyPuumala virusZoonoses

Identifiers

PMID31411134
PMCPMC6693291
OpenAlexW2964906549

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.