Evidence map›Paper›PMID 33234080›Full record

ArticleProceedings. Biological sciences2020

Active responses to outbreaks of infectious wildlife diseases: objectives, strategies and constraints determine feasibility and success.

Claudio Bozzuto, Benedikt R Schmidt, Stefano Canessa

Open access · greenAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

  1. Quantitative support for the benefits of proactive management for wildlife disease control.Conservation biology : the journal of the Society for Conservation Biology · 2025
    Article
  2. The effectiveness of harvest for limiting wildlife disease: Insights from 20 years of chronic wasting disease in Wyoming.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Journal of fungi (Basel, Switzerland) · 2021
    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

3 authors at 2 institutions in 2 countries.

Claudio BozzutoWildlife Analysis GmbH, Oetlisbergstrasse 38, 8053 Zurich, Switzerland.
Benedikt R SchmidtInstitut für Evolutionsbiologie und Umweltwissenschaften, Universität Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland.
Stefano CanessaWildlife Health Ghent, Department of Pathology, Bacteriology and Avian Diseases, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium.
Ghent University · BEUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging wildlife diseases are taking a heavy toll on animal and plant species worldwide. Mitigation, particularly in the initial epidemic phase, is hindered by uncertainty about the epidemiology and management of emerging diseases, but also by vague or poorly defined objectives. Here, we use a quantitative analysis to assess how the decision context of mitigation objectives, available strategies and practical constraints influences the decision of whether and how to respond to epidemics in wildlife. To illustrate our approach, we parametrized the model for European fire salamanders affected by

Indexed as

Animal DiseasesAnimalsAnimals, WildCommunicable DiseasesConservation of Natural ResourcesDisease OutbreaksFeasibility StudiesHumansUncertaintyconservationdecision-makingepizooticoutbreak containmentremoval modelspillover risksurveillance

Identifiers

PMID33234080
PMCPMC7739498
OpenAlexW3109609122

What OpenQuestion holds

Textmetadata
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.