ArticleSN computer science2020
Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art.
Article in SN computer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.
What it found
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Who cites it
92 citing papers in PubMed, 305 citations in OpenAlex.
- Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.Computers in biology and medicine · 2020Trial
- Impact of the first booster vaccine against SARS-CoV-2 in Chile.Infectious Disease Modelling · 2026Article
- Interpreting epidemiological surveillance data: a modelling study based on Pune city.Scientific reports · 2025Article
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- Comparison between simulated scenarios and Swedish COVID-19 cases throughout the pandemic.Scientific reports · 2025Article
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- Robust Human Tracking Using a 3D LiDAR and Point Cloud Projection for Human-Following Robots.Sensors (Basel, Switzerland) · 2025Article
- A Novel Approach for the Early Detection of Medical Resource Demand Surges During Health Care Emergencies: Infodemiology Study of Tweets.JMIR formative research · 2024Article
- Vision-based collective motion: A locust-inspired reductionist model.PLoS computational biology · 2024Article
- Bayesian sequential approach to monitor COVID-19 variants through test positivity rate from wastewater.mSystems · 2023Article
- A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media.Sensors (Basel, Switzerland) · 2023Review
- COVID-19 Diagnosis in Computerized Tomography (CT) and X-ray Scans Using Capsule Neural Network.Diagnostics (Basel, Switzerland) · 2023Article
- On the Implementation of the Artificial Neural Network Approach for Forecasting Different Healthcare Events.Diagnostics (Basel, Switzerland) · 2023Article
- COVID-19 forecasting using shifted Gaussian Mixture Model with similarity-based estimation.Expert systems with applications · 2023Article
- Is It Possible to Predict COVID-19? Stochastic System Dynamic Model of Infection Spread in Kazakhstan.Healthcare (Basel, Switzerland) · 2023Article
- A Review of the Machine Learning Algorithms for Covid-19 Case Analysis.IEEE transactions on artificial intelligence · 2023Article
- Bayesian sequential approach to monitor COVID-19 variants through positivity rate from wastewater.medRxiv : the preprint server for health sciences · 2023Article
- Outbreak prediction of COVID-19 using Recurrent neural network with Gated Recurrent Units.Materials today. Proceedings · 2023Article
- Time series forecasting of COVID-19 transmission in Asia Pacific countries using deep neural networks.Personal and ubiquitous computing · 2023Article
- Exposure notification system activity as a leading indicator for SARS-COV-2 caseload forecasting.PloS one · 2023Article
32 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 is a pandemic that has affected over 170 countries around the world. The number of infected and deceased patients has been increasing at an alarming rate in almost all the affected nations. Forecasting techniques can be inculcated thereby assisting in designing better strategies and in taking productive decisions. These techniques assess the situations of the past thereby enabling better predictions about the situation to occur in the future. These predictions might help to prepare against possible threats and consequences. Forecasting techniques play a very important role in yielding accurate predictions. This study categorizes forecasting techniques into two types, namely, stochastic theory mathematical models and data science/machine learning techniques. Data collected from various platforms also play a vital role in forecasting. In this study, two categories of datasets have been discussed, i.e., big data accessed from World Health Organization/National databases and data from a social media communication. Forecasting of a pandemic can be done based on various parameters such as the impact of environmental factors, incubation period, the impact of quarantine, age, gender and many more. These techniques and parameters used for forecasting are extensively studied in this work. However, forecasting techniques come with their own set of challenges (technical and generic). This study discusses these challenges and also provides a set of recommendations for the people who are currently fighting the global COVID-19 pandemic.
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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.