ArticleSIAM journal on control and optimization2022
IDENTIFIABILITY OF INFECTION MODEL PARAMETERS EARLY IN AN EPIDEMIC.
Article in SIAM journal on control and optimization, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Determining disease attributes from epidemic trajectories.Infectious Disease Modelling · 2026Article
- Quantifying phage infectivity from characteristics of bacterial population dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Structural and Practical Identifiability of Phenomenological Growth Models for Epidemic Forecasting.Viruses · 2025Article
- Transmission matrix parameter estimation of COVID-19 evolution with age compartments using ensemble-based data assimilation.PloS one · 2025Article
- A data-driven analysis on the mediation effect of compartment models between control measures and COVID-19 epidemics.Heliyon · 2024Article
- Ideal adaptive control in biological systems: an analysis ofBMC bioinformatics · 2024Article
- System identifiability in a time-evolving agent-based model.PloS one · 2024Article
- A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile.Journal of biological dynamics · 2023Article
- The Structural Identifiability of a Humidity-Driven Epidemiological Model of Influenza Transmission.Viruses · 2022Article
- A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Application to COVID-19.Viruses · 2022Article
- Limits of epidemic prediction using SIR models.Journal of mathematical biology · 2022Article
- Assessing the potential impact of transmission during prolonged viral shedding on the effect of lockdown relaxation on COVID-19.PLoS computational biology · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
It is known that the parameters in the deterministic and stochastic SEIR epidemic models are structurally identifiable. For example, from knowledge of the infected population time series
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Registered trials
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