Evidence map›Paper›PMID 32726948›Full record

ReviewInternational journal of environmental research and public health2020

A Mini-Review of

Bob E H van Oort, Grete K Hovelsrud, Camilla Risvoll, Christian W Mohr, Solveig Jore

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.6field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Sixty years of climate impact on Ixodes ricinus (Ixodidae).Experimental & applied acarology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. One health in the Arctic - connections and actions.International journal of circumpolar health · 2024
    Article
  9. Powassan Virus Encephalitis: A Tertiary Center Experience.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. 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

5 authors at 4 institutions in 1 country.

Bob E H van OortCICERO Center for International Climate Research, P.O. Box 1129, Blindern, 0318 Oslo, Norway.
Grete K HovelsrudNord University and Nordland Research Institute, P.O. Box 1490, 8049 Bodø, Norway.
Camilla RisvollNordland Research Institute, P.O. Box 1490, 8049 Bodø, Norway.
Christian W MohrThe Norwegian Institute of Bioeconomy Research, P.O. Box 115, 1431 Ås, Norway.
Solveig JoreNorwegian Public Health Institute, P.O. Box 222 Skøyen, 0213 Oslo, Norway.
Nordland Research Institute · NOCICERO Center for International Climate Research · NONorwegian Institute of Bioeconomy Research · NONorwegian Institute of Public Health · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change in the Nordic countries is projected to lead to both wetter and warmer seasons. This, in combination with associated vegetation changes and increased animal migration, increases the potential incidence of tick-borne diseases (TBD) where already occurring, and emergence in new places. At the same time, vegetation and animal management influence tick habitat and transmission risks. In this paper, we review the literature on

Indexed as

IxodesTick-Borne DiseasesAnimalsClimate ChangeEcosystemPopulation DynamicsRiskScandinavian and Nordic Countriesclimate changeclimate-sensitive infections (CSIs)Ixodes ricinusNordictick-borne diseases (TBD)

Identifiers

PMID32726948
PMCPMC7432026
OpenAlexW3045176839

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.