ArticleEcology and evolution2019
Disease-structured
Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Playing it safe at early life stages: Balancing energy allocations to maximize fitness under seasonal pathogen dynamics.The Journal of animal ecology · 2026Article
- Integrated distribution modeling resolves asynchrony between bat population impacts and occupancy trends through latent abundance.Communications biology · 2025Article
- Article
- Under-reporting of COVID-19 in the Northern Health Authority region of British Columbia.The Canadian journal of statistics = Revue canadienne de statistique · 2021Article
- SARS-CoV-2: Cross-scale Insights from Ecology and Evolution.Trends in microbiology · 2021Review
- New technologies in the mix: Assessing N-mixture models for abundance estimation using automated detection data from drone surveys.Ecology and evolution · 2020Article
- Assessing amphibian disease risk across tropical streams while accounting for imperfect pathogen detection.Oecologia · 2020Article
- Disease-structuredEcology and evolution · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obtaining inferences on disease dynamics (e.g., host population size, pathogen prevalence, transmission rate, host survival probability) typically requires marking and tracking individuals over time. While multistate mark-recapture models can produce high-quality inference, these techniques are difficult to employ at large spatial and long temporal scales or in small remnant host populations decimated by virulent pathogens, where low recapture rates may preclude the use of mark-recapture techniques. Recently developed
Indexed as
Identifiers
What OpenQuestion holds
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.