ArticleEcology letters2017
Inferring infection hazard in wildlife populations by linking data across individual and population scales.
Article in Ecology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 70 citations in OpenAlex.
- Serological and transcriptomic response of African fruit bats to immune challenge with recombinant vaccines expressing Ebola or Nipah virus antigens.Royal Society open science · 2026Article
- Article
- Proteomic Signatures of SARS-CoV-2 Susceptibility in Mexican Free-tailed Bats and Their Application to Viral Surveillance.Integrative and comparative biology · 2025Article
- A Practical Framework to Design Immunization Studies Based on the Beta Distribution.Statistics in medicine · 2025Article
- serojump: A Bayesian tool for inferring infection timing and antibody kinetics from longitudinal serological data.PLoS computational biology · 2025Article
- Expanding National-Scale Wildlife Disease Surveillance Systems With Research Networks.Ecology and evolution · 2025Article
- Dynamics of influenza transmission in vampire bats revealed by longitudinal monitoring and a large-scale anthropogenic perturbation.Science advances · 2025Article
- Serological Evidence of Highly Pathogenic Avian Influenza (H5N1) in Invasive Wild Pigs in Western Canada.Transboundary and emerging diseases · 2025Article
- Serodynamics: A primer and synthetic review of methods for epidemiological inference using serological data.Epidemics · 2024Review
- Rapid loss of maternal immunity and increase in environmentally mediated antibody generation in urban gulls.Scientific reports · 2024Article
- serosim: An R package for simulating serological data arising from vaccination, epidemiological and antibody kinetics processes.PLoS computational biology · 2023Article
- Inferring the disruption of rabies circulation in vampire bat populations using a betaherpesvirus-vectored transmissible vaccine.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Spatial aggregation choice in the era of digital and administrative surveillance data.PLOS digital health · 2022Article
- Optimal immune specificity at the intersection of host life history and parasite epidemiology.PLoS computational biology · 2021Article
- Model-based assessment of Chikungunya and O'nyong-nyong virus circulation in Mali in a serological cross-reactivity context.Nature communications · 2021Article
- Plague Exposure in Mammalian Wildlife Across the Western United States.Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2021Article
- Estimating epidemiologic dynamics from cross-sectional viral load distributions.Science (New York, N.Y.) · 2021Article
- SARS-CoV-2: Cross-scale Insights from Ecology and Evolution.Trends in microbiology · 2021Review
- A framework for surveillance of emerging pathogens at the human-animal interface: Pigs and coronaviruses as a case study.Preventive veterinary medicine · 2021Article
- Estimating epidemiologic dynamics from cross-sectional viral load distributions.medRxiv : the preprint server for health sciences · 2021Article
Corrections and comments
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Authors and funding
15 authors at 9 institutions in 2 countries.
Funding
Abstract
Our ability to infer unobservable disease-dynamic processes such as force of infection (infection hazard for susceptible hosts) has transformed our understanding of disease transmission mechanisms and capacity to predict disease dynamics. Conventional methods for inferring FOI estimate a time-averaged value and are based on population-level processes. Because many pathogens exhibit epidemic cycling and FOI is the result of processes acting across the scales of individuals and populations, a flexible framework that extends to epidemic dynamics and links within-host processes to FOI is needed. Specifically, within-host antibody kinetics in wildlife hosts can be short-lived and produce patterns that are repeatable across individuals, suggesting individual-level antibody concentrations could be used to infer time since infection and hence FOI. Using simulations and case studies (influenza A in lesser snow geese and Yersinia pestis in coyotes), we argue that with careful experimental and surveillance design, the population-level FOI signal can be recovered from individual-level antibody kinetics, despite substantial individual-level variation. In addition to improving inference, the cross-scale quantitative antibody approach we describe can reveal insights into drivers of individual-based variation in disease response, and the role of poorly understood processes such as secondary infections, in population-level dynamics of disease.
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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.