ArticlePhysica D. Nonlinear phenomena2020
Inversion of a SIR-based model: A critical analysis about the application to COVID-19 epidemic.
Article in Physica D. Nonlinear phenomena, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Determining disease attributes from epidemic trajectories.Infectious Disease Modelling · 2026Article
- A tight fit of the SIR dynamic epidemic model to daily cases of COVID-19 reported during the 2021-2022 Omicron surge in New York City: A novel approach.Statistical methods in medical research · 2024Article
- Analysis of the COVID-19 pandemic using a compartmental model with time-varying parameters fitted by a genetic algorithm.Expert systems with applications · 2023Article
- Prediction of COVID-19 Using a WOA-BILSTM Model.Bioengineering (Basel, Switzerland) · 2023Article
- A multistate model and its standalone tool to predict hospital and ICU occupancy by patients with COVID-19.Heliyon · 2023Article
- Analysis and prediction of improved SEIR transmission dynamics model: taking the second outbreak of COVID-19 in Italy as an example.Frontiers in public health · 2023Article
- Application of a time-delay SIR model with vaccination in COVID-19 prediction and its optimal control strategy.Nonlinear dynamics · 2023Article
- A discrete model for the evaluation of public policies: The case of Colombia during the COVID-19 pandemic.PloS one · 2023Article
- Comparing the dynamics of COVID-19 infection and mortality in the United States, India, and Brazil.Physica D. Nonlinear phenomena · 2022Article
- Article
- Calibrating COVID-19 susceptible-exposed-infected-removed models with time-varying effectivecontact rates.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022Article
- Differential evolution and particle swarm optimization against COVID-19.Artificial intelligence review · 2022Article
- A mathematical model of COVID-19 transmission.Materials today. Proceedings · 2022Article
- Estimating a continuously varying offset between multivariate time series with application to COVID-19 in the United States.The European physical journal. Special topics · 2022Article
- Genetic algorithm with cross-validation-based epidemic model and application to the early diffusion of COVID-19 in Algeria.Scientific African · 2021Article
- Trends in COVID-19 prevalence and mortality: A year in review.Physica D. Nonlinear phenomena · 2021Article
- Nonlinear science against the COVID-19 pandemic.Physica D. Nonlinear phenomena · 2021Article
- Verification of the accuracy of the SIR model in forecasting based on the improved SIR model with a constant ratio of recovery to infection rate by comparing with monitored second wave data.Royal Society open science · 2021Article
- An improved SIR model describing the epidemic dynamics of the COVID-19 in China.Results in physics · 2021Article
- Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19.Physica A · 2021Article
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3 authors.
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Abstract
Calibration of a SIR (Susceptibles-Infected-Recovered) model with official international data for the COVID-19 pandemics provides a good example of the difficulties inherent in the solution of inverse problems. Inverse modeling is set up in a framework of discrete inverse problems, which explicitly considers the role and the relevance of data. Together with a physical vision of the model, the present work addresses numerically the issue of parameters calibration in SIR models, it discusses the uncertainties in the data provided by international authorities, how they influence the reliability of calibrated model parameters and, ultimately, of model predictions.
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