ArticleProceedings. Biological sciences2019
Genotypic variation in parasite avoidance behaviour and other mechanistic, nonlinear components of transmission.
Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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.
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Who cites it
12 citing papers in PubMed.
- Delayed transcriptional response of Daphnia pulex to thermal stress.G3 (Bethesda, Md.) · 2026Article
- Article
- Temperature and Resources Interact to Affect Transmission via Host Foraging Rate and Susceptibility.Ecology letters · 2025Article
- Genetic variation in parasite avoidance, yet no evidence for constitutive fitness costs.Evolution; international journal of organic evolution · 2024Article
- Parasite transmission in size-structured populations.Ecology · 2024Article
- Natural variation in host feeding behaviors impacts host disease and pathogen transmission potential.Ecology and evolution · 2023Article
- Partitioning variance in immune traits in a zooplankton host-Fungal parasite system.Ecology and evolution · 2022Article
- Evolution and Ecology of Parasite Avoidance.Annual review of ecology, evolution, and systematics · 2022Article
- Circadian rhythms mediate infection risk inEcology and evolution · 2022Article
- Timescale reverses the relationship between host density and infection risk.Proceedings. Biological sciences · 2022Article
- A high-throughput method to quantify feeding rates in aquatic organisms: A case study withEcology and evolution · 2020Article
- Genotypic variation in parasite avoidance behaviour and other mechanistic, nonlinear components of transmission.Proceedings. Biological sciences · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional epidemiological models assume that transmission increases proportionally to the density of parasites. However, empirical data frequently contradict this assumption. General yet mechanistic models can explain why transmission depends nonlinearly on parasite density and thereby identify potential defensive strategies of hosts. For example, hosts could decrease their exposure rates at higher parasite densities (via behavioural avoidance)
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Registered trials
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.