Evidence map›Paper›PMID 24403336›Full record

ReviewProceedings. Biological sciences2014

Infectious disease agents mediate interaction in food webs and ecosystems.

Sanja Selakovic, Peter C de Ruiter, Hans Heesterbeek

Abstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
  2. Regional Variability of Chestnut (Plants (Basel, Switzerland) · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Quantifying the dilution effect for models in ecological epidemiology.Journal of the Royal Society, Interface · 2018
    Article
  9. The epidemiological models of Karl-Peter Hadeler.Infectious Disease Modelling · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. 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.

Sanja SelakovicFaculty of Veterinary Medicine, University of Utrecht, , Yalelaan 7, Utrecht 3584, The Netherlands, Biometris, Wageningen University, , PO Box 100, Wageningen 6700, The Netherlands.
Peter C de Ruiter
Hans Heesterbeek

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious agents are part of food webs and ecosystems via the relationship with their host species that, in turn, interact with both hosts and non-hosts. Through these interactions, infectious agents influence food webs in terms of structure, functioning and stability. The present literature shows a broad range of impacts of infectious agents on food webs, and by cataloguing that range, we worked towards defining the various mechanisms and their specific effects. To explore the impact, a direct approach is to study changes in food-web properties with infectious agents as separate species in the web, acting as additional nodes, with links to their host species. An indirect approach concentrates not on adding new nodes and links, but on the ways that infectious agents affect the existing links across host and non-host nodes, by influencing the 'quality' of consumer-resource interaction as it depends on the epidemiological state host involved. Both approaches are natural from an ecological point of view, but the indirect approach may connect more straightforwardly to commonly used tools in infectious disease dynamics.

Indexed as

Food ChainHost-Pathogen InteractionsSymbiosisHost-Parasite InteractionsModels, Biologicalecosystemenergy flowfood websinfection dynamicsinfectious agentsinteraction strengths

Identifiers

PMID24403336
PMCPMC3896020

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.