Subtopic Deep Dive

Rabies Transmission Modeling
Research Guide

What is Rabies Transmission Modeling?

Rabies Transmission Modeling develops mathematical and phylodynamic models to simulate rabies virus spread in dog and wildlife populations under varying vaccination and control scenarios.

These models integrate spatial data, host demography, and genetic sequences to predict elimination thresholds (Lemey et al., 2009; 1861 citations). Phylogeographic approaches reveal human-mediated dispersal patterns of dog rabies (Talbi et al., 2010; 162 citations). Over 10 key papers since 2008 address dynamics in free-roaming dogs and carnivores (Velasco-Villa et al., 2008; 157 citations).

Curated Papers

Key Challenges

Why It Matters

Models inform WHO's Zero by 30 rabies elimination goal by predicting vaccination coverage needs in dynamic dog populations (Morters et al., 2014). They guide cost-efficient strategies like mass dog vaccination over post-exposure prophylaxis in endemic areas (Mindekem et al., 2017). Phylodynamic analyses trace multi-host shifts, aiding wildlife reemergence prevention (Troupin et al., 2016; Velasco-Villa et al., 2008).

Key Research Challenges

Dynamic Dog Population Data

Free-roaming dog demography varies widely, complicating model parameterization for rabies control (Morters et al., 2014). High birth rates and migration challenge achieving 70% vaccination coverage (Conan et al., 2015). Accurate census data remains scarce in endemic regions.

Multi-Host Phylodynamics

Rabies shifts between dogs and wildlife require integrating phylogenomic data across carnivores (Troupin et al., 2016). Bayesian methods infer dispersal but struggle with sparse sampling (Lemey et al., 2009). Human-mediated jumps add uncertainty to transmission trees.

Spatial Elimination Thresholds

Models must incorporate geography to predict local extinction under partial vaccination (Talbi et al., 2010). Wildlife reservoirs enable reemergence post-dog elimination (Velasco-Villa et al., 2008). Validation against real-world campaigns is limited.

Essential Papers

Bayesian Phylogeography Finds Its Roots

Philippe Lemey, Andrew Rambaut, Alexei J. Drummond et al. · 2009 · PLoS Computational Biology · 1.9K citations

As a key factor in endemic and epidemic dynamics, the geographical distribution of viruses has been frequently interpreted in the light of their genetic histories. Unfortunately, inference of histo...

Large-Scale Phylogenomic Analysis Reveals the Complex Evolutionary History of Rabies Virus in Multiple Carnivore Hosts

Cécile Troupin, Laurent Dacheux, Marion Tanguy et al. · 2016 · PLoS Pathogens · 227 citations

The natural evolution of rabies virus (RABV) provides a potent example of multiple host shifts and an important opportunity to determine the mechanisms that underpin viral emergence. Using 321 geno...

Diversity of susceptible hosts in canine distemper virus infection: a systematic review and data synthesis

Marlén Martínez‐Gutierrez, Julián Ruíz-Saenz · 2016 · BMC Veterinary Research · 215 citations

The results of this systematic review demonstrate that CDV is able to infect a very wide range of host species from many different Orders and emphasizes the potential threat of infection for endang...

Phylodynamics and Human-Mediated Dispersal of a Zoonotic Virus

Chiraz Talbi, Philippe Lemey, Marc A. Suchard et al. · 2010 · PLoS Pathogens · 162 citations

Understanding the role of humans in the dispersal of predominantly animal pathogens is essential for their control. We used newly developed Bayesian phylogeographic methods to unravel the dynamics ...

Enzootic Rabies Elimination from Dogs and Reemergence in Wild Terrestrial Carnivores, United States

Andrés Velasco-Villa, Serena A. Reeder, Lillian A. Orciari et al. · 2008 · Emerging infectious diseases · 157 citations

To provide molecular and virologic evidence that domestic dog rabies is no longer enzootic to the United States and to identify putative relatives of dog-related rabies viruses (RVs) circulating in...

Lyssaviruses and rabies: current conundrums, concerns, contradictions and controversies

Charles E. Rupprecht, Ivan V. Kuzmin, F. X. Meslin · 2017 · F1000Research · 154 citations

<ns4:p>Lyssaviruses are bullet-shaped, single-stranded, negative-sense RNA viruses and the causative agents of the ancient zoonosis rabies. Africa is the likely home to the ancestors of taxa residi...

The demography of free‐roaming dog populations and applications to disease and population control

Michelle Morters, Trevelyan J. McKinley, Olivier Restif et al. · 2014 · Journal of Applied Ecology · 145 citations

Summary Understanding the demography of domestic dog populations is essential for effective disease control, particularly of canine‐mediated rabies. Demographic data are also needed to plan effecti...

Reading Guide

Foundational Papers

Start with Lemey et al. (2009) for Bayesian phylogeography methods; Talbi et al. (2010) applies to dog rabies dispersal; Morters et al. (2014) provides demography data essential for parameterization.

Recent Advances

Troupin et al. (2016) analyzes carnivore host shifts; Mindekem et al. (2017) evaluates vaccination costs; Conan et al. (2015) models dynamic populations for 70% coverage targets.

Core Methods

Bayesian phylogeography (BEAST software, Lemey et al., 2009); compartmental SIR/SEIR models with spatial diffusion (Morters et al., 2014); phylogenomic reconstruction (Troupin et al., 2016).

How PapersFlow Helps You Research Rabies Transmission Modeling

Discover & Search

Research Agent uses searchPapers and exaSearch to find phylodynamic rabies models, then citationGraph on Lemey et al. (2009) reveals 1861 citing papers including Talbi et al. (2010) and Troupin et al. (2016). findSimilarPapers expands to dog demography studies like Morters et al. (2014).

Analyze & Verify

Analysis Agent applies readPaperContent to extract Bayesian inference details from Lemey et al. (2009), then verifyResponse with CoVe checks model assumptions against Velasco-Villa et al. (2008). runPythonAnalysis simulates SIR dynamics from Morters et al. (2014) parameters with GRADE scoring for evidence strength; statistical verification tests elimination thresholds via bootstrapping.

Synthesize & Write

Synthesis Agent detects gaps in multi-host modeling between Troupin et al. (2016) and Conan et al. (2015), flagging contradictions in dispersal rates. Writing Agent uses latexEditText for model equations, latexSyncCitations for 10+ references, and latexCompile for publication-ready reports; exportMermaid visualizes transmission networks from Talbi et al. (2010).

Use Cases

"Simulate rabies R0 in free-roaming dogs with 70% vaccination using Python."

Research Agent → searchPapers(Morters 2014, Conan 2015) → Analysis Agent → runPythonAnalysis(SIR model with NumPy/pandas, output: R0=0.8 plot and GRADE B verification).

"Write LaTeX section on phylogeographic rabies models with citations."

Research Agent → citationGraph(Lemey 2009) → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations(Talbi 2010, Troupin 2016) → latexCompile (output: formatted PDF with phylodynamic equations).

"Find GitHub code for Bayesian rabies phylogeography models."

Research Agent → paperExtractUrls(Lemey 2009) → Code Discovery → paperFindGithubRepo → githubRepoInspect (output: BEAST2 scripts adapted for dog rabies from Talbi et al. 2010 phylogenies).

Automated Workflows

Deep Research workflow conducts systematic review of 50+ rabies papers, chaining searchPapers → citationGraph → readPaperContent for structured report on transmission thresholds (Lemey et al., 2009). DeepScan applies 7-step analysis with CoVe checkpoints to verify model outputs from Morters et al. (2014) against empirical data. Theorizer generates hypotheses on wildlife spillover risks from Troupin et al. (2016) phylodynamics.

Try Doxa for Rabies Transmission Modeling Research

Frequently Asked Questions

What is rabies transmission modeling?

It uses mathematical and phylodynamic models to simulate rabies spread in dogs and wildlife under control interventions (Lemey et al., 2009).

What methods dominate rabies transmission models?

Bayesian phylogeography infers dispersal from genetic data (Lemey et al., 2009; Talbi et al., 2010); SIR models incorporate dog demography (Morters et al., 2014).

What are key papers in this subtopic?

Lemey et al. (2009; 1861 citations) foundational for phylogeography; Troupin et al. (2016; 227 citations) on multi-host evolution; Morters et al. (2014; 145 citations) on dog populations.

What open problems exist?

Integrating real-time dog demography with spatial phylodynamics; predicting wildlife reemergence post-dog elimination (Velasco-Villa et al., 2008; Conan et al., 2015).