ArticleScientific reports2021
A new grey quadratic polynomial model and its application in the COVID-19 in China.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- An adaptive non-equidistant grey model with four parameters and its applications in deformation monitoring.Scientific reports · 2025Article
- Evaluating the impact of COVID-19 outbreak on hepatitis B and forecasting the epidemiological trend in mainland China: a causal analysis.BMC public health · 2024Article
- Article
- A novel grey model based on Susceptible Infected Recovered Model: A case study of COVD-19.Physica A · 2022Article
- Forecasting the transmission trends of respiratory infectious diseases with an exposure-risk-based model at the microscopic level.Environmental research · 2022Article
- Prediction and analysis of COVID-19 daily new cases and cumulative cases: times series forecasting and machine learning models.BMC infectious diseases · 2022Article
- Deathdaily: A Python Package Index for predicting the number of daily COVID-19 deaths.Network modeling and analysis in health informatics and bioinformatics · 2022Article
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2 authors.
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Abstract
This paper develops a new grey prediction model with quadratic polynomial term. Analytical expressions of the time response function and the restored values of the new model are derived by using grey model technique and mathematical tools. With observations of the confirmed cases, the death cases and the recovered cases from COVID-19 in China at the early stage, the proposed forecasting model is developed. The computational results demonstrate that the new model has higher precision than the other existing prediction models, which show the grey model has high accuracy in the forecasting of COVID-19.
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