ArticlePloS one2021
Prediction of the COVID-19 epidemic trends based on SEIR and AI models.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Gauging the Impact of Artificial Intelligence and Mathematical Modeling in Response to the COVID-19 Pandemic: A Systematic Review.BioMed research international · 2022Pooled it
- Modeling healthcare resource dynamics and its application based on interregional population mobility.Frontiers in public health · 2025Article
- Article
- Article
- Early monitoring-to-warning Internet of Things system for emerging infectious diseases via networking of light-triggered point-of-care testing devices.Exploration (Beijing, China) · 2023Article
- Analysis of the COVID-19 pandemic using a compartmental model with time-varying parameters fitted by a genetic algorithm.Expert systems with applications · 2023Article
- Nesting the SIRV model with NAR, LSTM and statistical methods to fit and predict COVID-19 epidemic trend in Africa.BMC public health · 2023Article
- Modeling Consequences of COVID-19 and Assessing Its Epidemiological Parameters: A System Dynamics Approach.Healthcare (Basel, Switzerland) · 2023Article
- A data-driven framework to assess population dynamics during novel coronavirus outbreaks: A case study on Xiamen Island, China.PloS one · 2023Article
- Multi-layer network approach in modeling epidemics in an urban town.The European physical journal. B · 2023Article
- A swarm-optimizer-assisted simulation and prediction model for emerging infectious diseases based on SEIR.Complex & intelligent systems · 2023Article
- Toward informatics-enabled preparedness for natural hazards to minimize health impacts of climate change.Journal of the American Medical Informatics Association : JAMIA · 2022Review
- Review on the COVID-19 pandemic prevention and control system based on AI.Engineering applications of artificial intelligence · 2022Review
- Determinants of coronavirus disease 2019 infection by artificial intelligence technology: A study of 28 countries.PloS one · 2022Article
- A proposed fractional dynamic system and Monte Carlo-based back analysis for simulating the spreading profile of COVID-19.The European physical journal. Special topics · 2022Article
- Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT-Scan Images.Interdisciplinary perspectives on infectious diseases · 2022Article
- Early Warning of Infectious Diseases in Hospitals Based on Multi-Self-Regression Deep Neural Network.Journal of healthcare engineering · 2022Article
- Identification of COVID-19 spread mechanisms based on first-wave data, simulation models, and evolutionary algorithms.PloS one · 2022Article
- Prediction and Analysis of Tourist Management Strategy Based on the SEIR Model during the COVID-19 Period.International journal of environmental research and public health · 2021Article
- Understanding small Chinese cities as COVID-19 hotspots with an urban epidemic hazard index.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In December 2019, the outbreak of a new coronavirus-caused pneumonia (COVID-19) in Wuhan attracted close attention in China and the world. The Chinese government took strong national intervention measures on January 23 to control the spread of the epidemic. We are trying to show the impact of these controls on the spread of the epidemic. We proposed an SEIR(Susceptible-Exposed-Infectious-Removed) model to analyze the epidemic trend in Wuhan and use the AI model to analyze the epidemic trend in non-Wuhan areas. We found that if the closure was lifted, the outbreak in non-Wuhan areas of mainland China would double in size. Our SEIR and AI model was effective in predicting the COVID-19 epidemic peaks and sizes. The epidemic control measures taken by the Chinese government, especially the city closure measures, reduced the scale of the COVID-19 epidemic.
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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.