ArticleNonlinear dynamics2020
SEIR modeling of the COVID-19 and its dynamics.
Article in Nonlinear dynamics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 219 papers, 1 of them a synthesis that pooled it.
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Who cites it
219 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Modelling the impact of behavioural interventions during pandemics: A systematic review.PloS one · 2025Pooled it
- Decoding Viral Transmission Dynamics in Structured Populations Using a Microfluidic Herd-Immunity-on-a-Chip Platform.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Pre-training Epidemic Time Series Forecasters with Compartmental Prototypes.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2026Article
- Epidemic Threshold Analysis of an SEIMQR Model Incorporating Healthcare Resource Constraints.China CDC weekly · 2026Article
- Epidemiological characteristics and transmission dynamics of COVID-19 outbreaks in China: a four-year retrospective analysis using extended SEIR models.BMC public health · 2026Article
- Dynamic demand forecasting and capacity assessment for emergency care system: a hybrid time series and machine learning approach with evidence from Beijing.BMC health services research · 2026Article
- Infection risk assessment for socially structured population using stochastic microexposure model.Journal of exposure science & environmental epidemiology · 2026Article
- Real-time dynamic prediction of HFMD transmission using SEIRQ-ARIMA hybrid model optimized by multi-stage ABC-GWO algorithm.Scientific reports · 2026Article
- Flexible school attendance strategies for epidemic outbreaks: simulation-based decision support.BMC public health · 2025Article
- Combining data assimilation of states and parameters for more precise infectious disease prediction.One health (Amsterdam, Netherlands) · 2025Article
- Improving outbreak forecasts through model augmentation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Traffic-driven spatio-temporal prediction for fine-scale epidemic outbreaks in China.BMC infectious diseases · 2025Article
- Multiple change point analysis and time series forecast of brucellosis reports in Xinjiang, China from 2010 to 2024.BMC public health · 2025Article
- Coupling wastewater-based epidemiology with data-driven machine learning for managing public health risks.Risk analysis : an official publication of the Society for Risk Analysis · 2025Article
- A history-dependent approach for accurate initial condition estimation in epidemic models.PLoS computational biology · 2025Article
- Modeling and analysis of a delayed fractional order COVID-19 SEIHRM model with media coverage in Malaysia.Scientific reports · 2025Article
- Systematic Comparison of Different Compartmental Models for Predicting COVID-19 Progression.Epidemiologia (Basel, Switzerland) · 2025Article
- A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks.Scientific reports · 2025Article
- Incorporating Additional Evidence as Prior Information to Resolve Non-Identifiability in Bayesian Disease Model Calibration: A Tutorial.Statistics in medicine · 2025Article
- Impact of vaccination on Omicron's escape variants: Insights from fine-scale modelling of waning immunity in Hong Kong.Infectious Disease Modelling · 2025Article
159 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, a SEIR epidemic model for the COVID-19 is built according to some general control strategies, such as hospital, quarantine and external input. Based on the data of Hubei province, the particle swarm optimization (PSO) algorithm is applied to estimate the parameters of the system. We found that the parameters of the proposed SEIR model are different for different scenarios. Then, the model is employed to show the evolution of the epidemic in Hubei province, which shows that it can be used to forecast COVID-19 epidemic situation. Moreover, by introducing the seasonality and stochastic infection the parameters, nonlinear dynamics including chaos are found in the system. Finally, we discussed the control strategies of the COVID-19 based on the structure and parameters of the proposed model.
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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.