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Dynamic survival analysis for non-Markovian epidemic models

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Stochastic Epidemic Models and Their Statistical Analysis
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Asymptotic behaviour of some interacting particle systems; McKean-Vlasov and Boltzmann models
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Strong approximation theorems for density dependent Markov chains
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Estimating epidemic exponential growth rate and basic reproduction number
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Slow and fast scales for superprocess limits of age-structured populations
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Unifying evolutionary dynamics: From individual stochastic processes to macroscopic models
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The foot and mouth disease (FMD) epidemic in the United Kingdom 2001
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A functional central limit theorem for SI processes on configuration model graphs
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Analysis of individual-level data from 2018–2020 Ebola outbreak in Democratic Republic of the Congo
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Stochastic and deterministic models for age-structured populations with genetically variable traits
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Large population limit and time behaviour of a stochastic particle model describing an age-structured population
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Markovian approaches to modeling intracellular reaction processes with molecular memory
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A criterion of convergence of measure‐valued processes: application to measure branching processes
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The large graph limit of a stochastic epidemic model on a dynamic multilayer network
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Incorporating age and delay into models for biophysical systems
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Transmission Potential of Smallpox: Estimates Based on Detailed Data from an Outbreak
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Contact intervals, survival analysis of epidemic data, and estimation of R0
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The reproductive number of the Delta variant of SARS-CoV-2 is far higher compared to the ancestral SARS-CoV-2 virus
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Quantifying the Population-Level Effect of the COVID-19 Mass Vaccination Campaign in Israel: A Modeling Study
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Survival dynamical systems: individual-level survival analysis from population-level epidemic models
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Effects of the infectious period distribution on predicted transitions in childhood disease dynamics
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A contribution to the mathematical theory of epidemics
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Motif-based mean-field approximation of interacting particles on clustered networks
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Non-Markovian Infection Spread Dramatically Alters the Susceptible-Infected-Susceptible Epidemic Threshold in Networks
inferredcites →https://doi.org/10.1103/physrevlett.118.128301openalex-snapshot
Equivalence between Non-Markovian and Markovian Dynamics in Epidemic Spreading Processes
inferredcites →https://doi.org/10.1103/physrevlett.44.55openalex-snapshot
Derivation of the Continuous-Time Random-Walk Equation
inferredcites →https://doi.org/10.1126/science.1061020openalex-snapshot
The Foot-and-Mouth Epidemic in Great Britain: Pattern of Spread and Impact of Interventions
inferredcites →https://doi.org/10.1136/bmjopen-2020-039856openalex-snapshot
Inferred duration of infectious period of SARS-CoV-2: rapid scoping review and analysis of available evidence for asymptomatic and symptomatic COVID-19 cases
inferredcites →https://doi.org/10.1137/1.9781611973051openalex-snapshot
Semi-Lagrangian Approximation Schemes for Linear and Hamilton—Jacobi Equations
inferredcites →https://doi.org/10.1137/15m1011299openalex-snapshot
Generalized Continuous Time Random Walks, Master Equations, and Fractional Fokker--Planck Equations
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Semi-Lagrangian Integration Schemes for Atmospheric Models—A Review
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Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons
inferredcites →https://doi.org/10.1214/105051604000000882openalex-snapshot
A microscopic probabilistic description of a locally regulated population and macroscopic approximations
inferredcites →https://doi.org/10.1371/journal.pmed.0020174openalex-snapshot
Appropriate Models for the Management of Infectious Diseases
inferredcites →https://doi.org/10.1371/journal.pone.0244474openalex-snapshot
Tracking R of COVID-19: A new real-time estimation using the Kalman filter
inferredcites →https://doi.org/10.1590/s0103-97331998000200003openalex-snapshot
Remarks on Non-Markov Processes
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Weak convergence of sequences of semimartingales with applications to multitype branching processes
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Markov Processes, Characterization and Convergence.
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Solutions of ordinary differential equations as limits of pure jump markov processes
inferredcites →https://doi.org/10.2307/3213811openalex-snapshot
On the asymptotic distribution of the size of a stochastic epidemic
inferredcites →https://doi.org/10.3389/fpubh.2023.1087698openalex-snapshot
COVID-19 dynamics in an Ohio prison
inferredcites →https://doi.org/10.3389/fvets.2019.00263openalex-snapshot
Parameterization of the Durations of Phases of Foot-And-Mouth Disease in Cattle
inferredcites →https://doi.org/10.48550/arxiv.1703.06328openalex-snapshot
Functional Central Limit Theorem For Susceptible-Infected Process On Configuration Model Graphs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Dynamical Survival Analysis for Epidemic Modeling
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Survival Models and Statistical Inference
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Necessary and sufficient conditions for exact closures of epidemic equations on configuration model networks
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Model-based clustering of time-dependent observations with common structural changes
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Towards Inferring Network Properties from Epidemic Data
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Poisson network SIR epidemic model
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Functional law of large numbers for an epidemic model with random effects
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Projecting COVID-19 cases and hospital burden in Ohio
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How to correctly fit an SIR model to data from an SEIR model?
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Quantifying the relationship between sub-population wastewater samples and community-wide SARS-CoV-2 seroprevalence
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Compartmental Models Driven by Renewal Processes: Survival Analysis and Applications to SVIS Epidemic Models
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Asymptotic autonomy in renewal-driven non-autonomous systems: theory and SVIS epidemic applications
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Inferring contact network characteristics from epidemic data via compact mean-field models
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A Non-Markovian Model to Assess Contact Tracing for the Containment of COVID-19
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Individual Molecules Dynamics in Reaction Network Models
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Non-Markovian dynamics and effective reproduction number in COVID-19: Evidence from Cyprus contact tracing data
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Advancing infection profiling under data uncertainty through contagion potential
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ВЛИЯНИЕ СОЦИАЛЬНЫХ КОНТАКТОВ НА ФОРМИРОВАНИЕ ЭНДЕМИЧЕСКОГО РАВНОВЕСИЯ В SEIS МОДЕЛИ
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Poisson Network SIR Epidemic Model
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Mathematical and statistical modeling of infection and transmission dynamics of viral diseases
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COVID-19 dynamics in an Ohio prison
inferred← citeshttps://doi.org/10.3389/fpubh.2025.1566854openalex-snapshot
Dynamic contagion potential framework for optimizing infection control in healthcare
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Likelihood-Free Dynamical Survival Analysis applied to the COVID-19 epidemic in Ohio
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