ArticleFrontiers in veterinary science2020
A Practical Introduction to Mechanistic Modeling of Disease Transmission in Veterinary Science.
Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- A systematic review of mechanistic models used to study avian influenza virus transmission and control.Veterinary research · 2023Pooled it
- Synthesis estimators for transportability with positivity violations by a continuous covariate.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025Article
- Foot-and-Mouth Disease in Bolivia: Simulation-Based Assessment of Control Strategies and Vaccination Requirements.Transboundary and emerging diseases · 2025Article
- Impact of infectious diseases on wild bovidae populations in Thailand: insights from population modelling and disease dynamics.Journal of the Royal Society, Interface · 2024Article
- Modeling foot-and-mouth disease dissemination in Rio Grande do Sul, Brazil and evaluating the effectiveness of control measures.Frontiers in veterinary science · 2024Article
- Coupling Plant Growth Models and Pest and Disease Models: An Interaction Structure Proposal, MIMIC.Plant phenomics (Washington, D.C.) · 2023Article
- A review of estimated transmission parameters for the spread of avian influenza viruses.Transboundary and emerging diseases · 2022Review
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computer-based disease spread models are frequently used in veterinary science to simulate disease spread. They are used to predict the impacts of the disease, plan and assess surveillance, or control strategies, and provide insights about disease causation by comparing model outputs with real life data. There are many types of disease spread models, and here we present and describe the implementation of a particular type: individual-based models. Our aim is to provide a practical introduction to building individual-based disease spread models. We also introduce code examples with the goal to make these techniques more accessible to those who are new to the field. We describe the important steps in building such models before, during and after the programming stage, including model verification (to ensure that the model does what was intended), validation (to investigate whether the model results reflect the modeled system), and convergence analysis (to ensure models of endemic diseases are stable before outputs are collected). We also describe how sensitivity analysis can be used to assess the potential impact of uncertainty about model parameters. Finally, we provide an overview of some interesting recent developments in the field of disease spread models.
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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.