ArticleExpert systems with applications2021
A time series-based statistical approach for outbreak spread forecasting: Application of COVID-19 in Greece.
Article in Expert systems with applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Recent Techniques in Determining the Effects of Climate Change on Depressive Patients: A Systematic Review.Journal of environmental and public health · 2022Pooled it
- Feasibility of short-term hospital mask demand forecasting using a backpropagation neural network under data scarcity.Scientific reports · 2026Article
- Comparative evaluation of several models for forecasting hourly electricity use in a steel plant.Scientific reports · 2026Article
- Article
- Prevention and control of infectious disease transmission in subways: an improved susceptible-exposed-infected-recovered model.Frontiers in public health · 2024Article
- A Machine Learning Framework Based on Extreme Gradient Boosting to Predict the Occurrence and Development of Infectious Diseases in Laying Hen Farms, Taking H9N2 as an Example.Animals : an open access journal from MDPI · 2023Article
- A novel prediction model based on decomposition-integration and error correction for COVID-19 daily confirmed and death cases.Computers in biology and medicine · 2023Article
- Article
- A spatio-temporal statistical model to analyze COVID-19 spread in the USA.Journal of applied statistics · 2023Article
- COVID-19: Data-Driven optimal allocation of ventilator supply under uncertainty and risk.European journal of operational research · 2023Article
- COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain.Expert systems with applications · 2022Article
- Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam.Expert systems with applications · 2022Article
- Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy.The European journal of health economics : HEPAC : health economics in prevention and care · 2022Article
- Modeling the COVID-19 epidemic in Croatia: a comparison of three analytic approaches.Croatian medical journal · 2022Article
- Are CDS spreads predictable during the Covid-19 pandemic? Forecasting based on SVM, GMDH, LSTM and Markov switching autoregression.Expert systems with applications · 2022Article
- Prediction intervals of the COVID-19 cases by HAR models with growth rates and vaccination rates in top eight affected countries: Bootstrap improvement.Chaos, solitons, and fractals · 2022Article
- COVID-19 Pandemic Data Modeling in Pakistan Using Time-Series SIR.Computational and mathematical methods in medicine · 2022Article
- A quantum-clustering optimization method for COVID-19 CT scan image segmentation.Expert systems with applications · 2021Article
- Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: A case study in the capitals of Brazil.Expert systems with applications · 2021Article
- Forecasting of Oxidant/Antioxidant levels of COVID-19 patients by using Expert models with biomarkers used in the Diagnosis/Prognosis of COVID-19.International immunopharmacology · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this paper is the generation of a time-series based statistical data-driven procedure in order to track an outbreak. At first are used univariate time series models in order to predict the evolution of the reported cases. Moreover, are considered combinations of the models in order to provide more accurate and robust results. Additionally, statistical probability distributions are considered in order to generate future scenarios. Final step is the build and use of an epidemiological model (tSIR) and the calculation of an epidemiological ratio (R
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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.