ReviewPreventive veterinary medicine2014
Using quantitative disease dynamics as a tool for guiding response to avian influenza in poultry in the United States of America.
Review in Preventive veterinary medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 29 citations in OpenAlex.
- Biosensor Technologies for Avian Influenza Detection: A New Frontier in Rapid Diagnostics for HPAI.Biosensors · 2026Review
- Use of mental models to identify one health priorities for wildlife health management in California.One health (Amsterdam, Netherlands) · 2025Article
- Spatiotemporal Overlap of Mallards With Poultry Farms Is Associated With Greater Risk of Avian Influenza Wild Bird Spillover Events.Ecology and evolution · 2025Article
- A Mini-Review on Multi-Hurdle Control ofAnimals : an open access journal from MDPI · 2025Review
- Identifying an Understudied Interface: Preliminary Evaluation of the Use of Retention Ponds on Commercial Poultry Farms by Wild Waterfowl.Transboundary and emerging diseases · 2024Article
- Adaptive risk-based targeted surveillance for foreign animal diseases at the wildlife-livestock interface.Transboundary and emerging diseases · 2022Article
- Hemagglutinin Subtype Specificity and Mechanisms of Highly Pathogenic Avian Influenza Virus Genesis.Viruses · 2022Review
- Continental-scale dynamics of avian influenza in U.S. waterfowl are driven by demography, migration, and temperature.Ecological applications : a publication of the Ecological Society of America · 2021Article
- Mammalian pathogenicity and transmissibility of low pathogenic avian influenza H7N1 and H7N3 viruses isolated from North America in 2018.Emerging microbes & infections · 2020Article
- Waterfowl occurrence and residence time as indicators of H5 and H7 avian influenza in North American Poultry.Scientific reports · 2020Article
- Movement Restriction and Increased Surveillance as Efficient Measures to Control the Spread of Highly Pathogenic Avian Influenza in Backyard Productive Systems in Central Chile.Frontiers in veterinary science · 2020Article
- Confronting models with data: the challenges of estimating disease spillover.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
- BOARD INVITED REVIEW: Prospects for improving management of animal disease introductions using disease-dynamic models.Journal of animal science · 2019Review
- The persistence of multiple strains of avian influenza in live bird markets.Proceedings. Biological sciences · 2017Article
- Article
- Surveillance of low pathogenic novel H7N9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time.BMC infectious diseases · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 8 institutions in 2 countries.
Funding
Abstract
Wild birds are the primary source of genetic diversity for influenza A viruses that eventually emerge in poultry and humans. Much progress has been made in the descriptive ecology of avian influenza viruses (AIVs), but contributions are less evident from quantitative studies (e.g., those including disease dynamic models). Transmission between host species, individuals and flocks has not been measured with sufficient accuracy to allow robust quantitative evaluation of alternate control protocols. We focused on the United States of America (USA) as a case study for determining the state of our quantitative knowledge of potential AIV emergence processes from wild hosts to poultry. We identified priorities for quantitative research that would build on existing tools for responding to AIV in poultry and concluded that the following knowledge gaps can be addressed with current empirical data: (1) quantification of the spatio-temporal relationships between AIV prevalence in wild hosts and poultry populations, (2) understanding how the structure of different poultry sectors impacts within-flock transmission, (3) determining mechanisms and rates of between-farm spread, and (4) validating current policy-decision tools with data. The modeling studies we recommend will improve our mechanistic understanding of potential AIV transmission patterns in USA poultry, leading to improved measures of accuracy and reduced uncertainty when evaluating alternative control strategies.
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.