Evidence map›Paper›PMID 28567209›Full record

ArticleInfection ecology & epidemiology2017

Modelling human Puumala hantavirus infection in relation to bank vole abundance and masting intensity in the Netherlands.

Arno Swart, Dick L Bekker, Miriam Maas, Ankje de Vries, Roan Pijnacker, Chantal B E M Reusken, Joke W B van der Giessen

Open access · goldAbstract read
In one paragraph

Article in Infection ecology & epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Small rodents, huge impact: A scoping review of EuropeanOne health (Amsterdam, Netherlands) · 2026
    Review
  2. Climate-driven host ecology as a framework for zoonotic disease risk: Understanding transferability across arenavirus systems.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Understanding mast seeding for conservation and land management.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  8. Article
  9. Article
  10. Molecular and epidemiological characteristics of human Puumala and Dobrava-Belgrade hantavirus infections, Germany, 2001 to 2017.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    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

7 authors at 2 institutions in 1 country.

Arno SwartCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Dick L BekkerDutch Mammal Society, Nijmegen, the Netherlands.
Miriam MaasCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Ankje de VriesCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Roan PijnackerCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Chantal B E M ReuskenDepartment of Viroscience, Erasmus University Medical Centre, Rotterdam, the Netherlands.
Joke W B van der GiessenCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
National Institute for Public Health and the Environment · NLErasmus University Rotterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper deals with modelling the relationship between human Puumala hantavirus (PUUV) infection, the abundance and prevalence of infection of the host (the bank vole), mast, and temperature. These data were used to build and parametrise generalised regression models, and parametrise them using datasets on these factors pertaining to the Netherlands. The performance of the models was assessed by considering their predictive power. Models including mast and monthly temperature performed well, and showed that mast intensity influences vole abundance and hence human exposure for the following year. Thus, the model can aid in forecasting of human illness cases, since (1) mast intensity influences the vole abundance and hence human exposure for the following year and (2) monitoring of mast is much more feasible than determining bank vole abundance.

Indexed as

climateenvironmenthuman casespredictionPuumala

Identifiers

PMID28567209
PMCPMC5443058
OpenAlexW2601401293

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.