ArticleMethods in ecology and evolution2018
Using multi-response models to investigate pathogen coinfections across scales: insights from emerging diseases of amphibians.
Article in Methods in ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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.
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Who cites it
22 citing papers in PubMed, 54 citations in OpenAlex.
- Spillover dynamics and asynchronous temporal fluctuations in host density and competence drive fungal parasite persistence in multi-host, seasonal communities.The Journal of animal ecology · 2026Article
- Carcass-Based Surveillance of Amphibian Herpesviruses, Ranaviruses andPathogens (Basel, Switzerland) · 2026Article
- Double-edged effects of aquatic environmental biofilms onISME communications · 2025Article
- A systematic review and guide for using multi-response statistical models in co-infection research.Royal Society open science · 2024Article
- Article
- Opposing life history strategies allow grass shrimp parasites to avoid a conflict of interest.Oecologia · 2024Article
- Coinfection with chytrid genotypes drives divergent infection dynamics reflecting regional distribution patterns.Communications biology · 2023Article
- The adaptive microbiome hypothesis and immune interactions in amphibian mucus.Developmental and comparative immunology · 2023Review
- Ontogeny of immunity and potential implications for co-infection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Longitudinal dynamics of co-infecting gastrointestinal parasites in a wild sheep population.Parasitology · 2022Article
- Resilience level and its relationship with hypochondriasis in nurses working in COVID-19 reference hospitals.BMC nursing · 2021Article
- Environmental, anthropogenic, and spatial factors affecting species composition and species associations in helminth communities of water frogs (Pelophylax esculentus complex) in Latvia.Parasitology research · 2021Article
- Host-multiparasite interactions in amphibians: a review.Parasites & vectors · 2021Review
- Freshwater snails and the green algaeFreshwater biology · 2021Article
- Disease hotspots or hot species? Infection dynamics in multi-host metacommunities controlled by species identity, not source location.Ecology letters · 2020Article
- Evolutionary principles guiding amphibian conservation.Evolutionary applications · 2020Review
- Chiggers (Acariformes: Trombiculoidea) do not increase rates of infection byInternational journal for parasitology. Parasites and wildlife · 2020Article
- Guidance for Developing Amphibian Population Models for Ecological Risk Assessment.Integrated environmental assessment and management · 2020Article
- Amphibian Host and Skin Microbiota Response to a Common Agricultural Antimicrobial and Internal Parasite.Microbial ecology · 2020Article
- Endemic infection can shape exposure to novel pathogens: Pathogen co-occurrence networks in the Serengeti lions.Ecology letters · 2019Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
Abstract
Associations among parasites affect many aspects of host-parasite dynamics, but a lack of analytical tools has limited investigations of parasite correlations in observational data that are often nested across spatial and biological scales.Here we illustrate how hierarchical, multiresponse modeling can characterize parasite associations by allowing for hierarchical structuring, offering estimates of uncertainty, and incorporating correlational model structures. After introducing the general approach, we apply this framework to investigate coinfections among four amphibian parasites (the trematodes
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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.