ArticleAnnual reviews in control2021
On an interval prediction of COVID-19 development based on a SEIR epidemic model.
Article in Annual reviews in control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed.
- A quantum mechanics-based framework for infectious disease modeling.Scientific reports · 2025Article
- Analysis on effectiveness of subway epidemic prevention measures considering subway passenger flow.Frontiers in public health · 2025Article
- Integrating socio-psychological factors in the SEIR model optimized by a genetic algorithm for COVID-19 trend analysis.Scientific reports · 2024Article
- Enhancing vaccination strategies for epidemic control through effective lockdown measures.Heliyon · 2024Article
- A data-driven combined prediction method for the demand for intensive care unit healthcare resources in public health emergencies.BMC health services research · 2024Article
- MPSTAN: Metapopulation-Based Spatio-Temporal Attention Network for Epidemic Forecasting.Entropy (Basel, Switzerland) · 2024Article
- Article
- Prevention and control of infectious disease transmission in subways: an improved susceptible-exposed-infected-recovered model.Frontiers in public health · 2024Article
- On-site airborne pathogen detection for infection risk mitigation.Chemical Society reviews · 2023Review
- Article
- Construction and Simulation Analysis of Epidemic Propagation Model Based on COVID-19 Characteristics.International journal of environmental research and public health · 2022Article
- Transmission risk of SARS-CoV-2 in the watershed triggered by domestic wastewater discharge.The Science of the total environment · 2022Article
- Feedback control of social distancing for COVID-19 via elementary formulae.IFAC-PapersOnLine · 2022Article
- A mathematical model for SARS-CoV-2 in variable-order fractional derivative.The European physical journal. Special topics · 2022Article
- A dynamical study of SARS-COV-2: A study of third wave.Results in physics · 2021Article
- Infection vulnerability stratification risk modelling of COVID-19 data: a deterministic SEIR epidemic model analysis.Annals of operations research · 2021Article
- Estimation of undetected symptomatic and asymptomatic cases of COVID-19 infection and prediction of its spread in the USA.Journal of medical virology · 2021Article
- Accessing Covid19 epidemic outbreak in Tamilnadu and the impact of lockdown through epidemiological models and dynamic systems.Measurement : journal of the International Measurement Confederation · 2021Article
- Transmission dynamics of novel coronavirus SARS-CoV-2 among healthcare workers, a case study in Iran.Nonlinear dynamics · 2021Article
- Forecasting COVID-19 cases based on a parameter-varying stochastic SIR model.Annual reviews in control · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, a new version of the well-known epidemic mathematical SEIR model is used to analyze the pandemic course of COVID-19 in eight different countries. One of the proposed model's improvements is to reflect the societal feedback on the disease and confinement features. The SEIR model parameters are allowed to be time-varying, and the ranges of their values are identified by using publicly available data for France, Italy, Spain, Germany, Brazil, Russia, New York State (US), and China. The identified model is then applied to predict the SARS-CoV-2 virus propagation under various conditions of confinement. For this purpose, an interval predictor is designed, allowing variations and uncertainties in the model parameters to be taken into account. The code and the utilized data are available on Github.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.