Evidence map›Paper›PMID 38032549›Full record

ArticleEcology2024

Parasite transmission in size-structured populations.

Kelsey E Shaw, Rebecca E Cloud, Raeyan Syed, David J Civitello

Abstract read
In one paragraph

Article in Ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Host heterogeneity and unpredictability in parasite outbreaks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

4 authors.

Kelsey E ShawDepartment of Biology, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-1297-8367
Rebecca E CloudSchool of Integrative Biology, University of Illinois, Urbana-Champaign, Illinois, USA.
Raeyan SyedDepartment of Biology, Emory University, Atlanta, Georgia, USA.
David J CivitelloDepartment of Biology, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0001-8394-6288

Funding

Infectious Diseases Across Scales Training ProgramT32AI138952 · NIAID · EMORY UNIVERSITY · PI Jacobus de Roode · 2019 to 2026
$1.8M
Resource competition drives natural and rebound dynamics of snails and schistosomesR01AI150774 · NIAID · EMORY UNIVERSITY · PI CIVITELLO, DAVID JAMES · 2020 to 2025
$1.7M
Predicting the success of biological control for snail vectors of human schistosomiaisisF31AI147611 · NIAID · EMORY UNIVERSITY · PI SHAW, KELSEY ERIN · 2020 to 2022
$143k
NIAID NIH HHS F31 AI147611NIAID NIH HHS R01 AI150774NIAID NIH HHS T32 AI138952
6 · The paper itself

Abstract

Host heterogeneity can affect parasite transmission, but determining underlying traits and incorporating them into transmission models remains challenging. Body size is easily measured and affects numerous ecological interactions, including transmission. In the snail-schistosome system, larger snails have a higher exposure to parasites but lower susceptibility to infection per parasite. We quantified the effect of size-based heterogeneity on population-level transmission by conducting transmission trials in differently size-structured snail populations and competing size-dependent transmission models. Populations with greater proportions of large snails had lower prevalence, and small snails were shielded from infection by co-occurring large conspecifics. Furthermore, a fully dependent transmission model that incorporated body size in both exposure and susceptibility outperformed other candidate models considered. Incorporating traits such as body size, which are affected by and directly affect host ecology, into transmission models could yield insights into natural dynamics and disease mitigation in many systems.

Indexed as

ParasitesAnimalsHost-Parasite InteractionsSchistosomaSnailsbody sizeheterogeneityhost traitsparasite transmissionschistosomiasistransmission interference

Identifiers

PMID38032549
PMCPMC10842837

What OpenQuestion holds

Textmetadata
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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.