Evidence map›Paper›PMID 18474121›Full record

ArticleParasitology2008

Parasite interactions in natural populations: insights from longitudinal data.

S Telfer, R Birtles, M Bennett, X Lambin, S Paterson, M Begon

Abstract read
In one paragraph

Article in Parasitology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Article
  3. Simultaneous and Sequential Coexposures ofmicroPublication biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Zoonotic Microparasites in Invasive Black Rats (Animals : an open access journal from MDPI · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. An eco-epidemiological modeling approach to investigate dilution effect in two different tick-borne pathosystems.Ecological applications : a publication of the Ecological Society of America · 2022
    Article
  12. Article
  13. Determinants ofParasitology · 2021
    Article
  14. Article
  15. Article
  16. Frontiers in cellular and infection microbiology · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

S TelferSchool of Biological Sciences, University of Liverpool, Biosciences Building, Liverpool L69 7LB, UK. stelfer@liv.ac.uk
R Birtles
M Bennett
X Lambin
S Paterson
M Begon

Funding

Wellcome Trust 070675/Z/03/ZWellcome Trust 075202Wellcome Trust 075202/Z/04/ZWellcome Trust 081705
6 · The paper itself

Abstract

The physiological and immunological state of an animal can be influenced by current infections and infection history. Consequently, both ongoing and previous infections can affect host susceptibility to another parasite, the biology of the subsequent infection (e.g. infection length) and the impact of infection on host morbidity (pathology). In natural populations, most animals will be infected by a succession of different parasites throughout the course of their lives, with probably frequent concomitant infections. The relative timing of different infections experienced by a host (i.e. the sequence of infection events), and the effects on factors such as host susceptibility and host survival, can only be derived from longitudinal data on individual hosts. Here we review some of the evidence for the impact of co-infection on host susceptibility, infection biology and pathology focusing on insights obtained from both longitudinal studies in humans and experiments that explicitly consider the sequence of infection. We then consider the challenges posed by longitudinal infection data collected from natural populations of animals. We illustrate their usefulness using our data of microparasite infections associated with field vole (Microtus agrestis) populations to examine impacts on susceptibility and infection length. Our primary aim is to describe an analytical approach that can be used on such data to identify interactions among the parasites. The preliminary analyses presented here indicate both synergistic and antagonistic interactions between microparasites within this community and emphasise that such interactions could have significant impacts on host-parasite fitness and dynamics.

Indexed as

AnaplasmosisAnimalsArvicolinaeBabesiosisBartonella InfectionsCowpoxDisease SusceptibilityEcosystemFemaleGenetic Predisposition to DiseaseHost-Parasite InteractionsMaleModels, BiologicalParasitesParasitic DiseasesPopulation Density

Identifiers

PMID18474121
PMCPMC2952918

What OpenQuestion holds

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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.