ArticleComputational and mathematical methods in medicine2021
COVID-19 in Iran: Forecasting Pandemic Using Deep Learning.
Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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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
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine Learning Used in Communicable Disease Control: A Scoping Review.Public health reviews · 2026Pooled it
- Prediction analysis of human brucellosis cases in Ili Kazakh Autonomous Prefecture Xinjiang China based on time series.Scientific reports · 2025Article
- Article
- Deep learning infused SIRVD model for COVID-19 prediction: XGBoost-SIRVD-LSTM approach.Frontiers in medicine · 2024Article
- Mental Healthcare in Pediatrics During the COVID-19 Pandemic: A Call for International Public Health Action.Advances in experimental medicine and biology · 2024Review
- COVID-19 spread control policies based early dynamics forecasting using deep learning algorithm.Chaos, solitons, and fractals · 2023Article
- Time series forecasting of COVID-19 infections and deaths in Alpha and Delta variants using LSTM networks.PloS one · 2023Article
- Deep learning for Covid-19 forecasting: State-of-the-art review.Neurocomputing · 2022Article
- A deep learning approach for Spatio-Temporal forecasting of new cases and new hospital admissions of COVID-19 spread in Reggio Emilia, Northern Italy.Journal of biomedical informatics · 2022Article
- Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks.Journal of cellular and molecular medicine · 2022Article
- A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models.Scientific reports · 2022Article
- Deep Convolutional Neural Network Mechanism Assessment of COVID-19 Severity.BioMed research international · 2022Article
- Computational and Mathematical Methods in Medicine Prediction of COVID-19 in BRICS Countries: An Integrated Deep Learning Model of CEEMDAN-R-ILSTM-Elman.Computational and mathematical methods in medicine · 2022Article
- Predicting COVID-19 Cases in South Korea Using Stringency and Niño Sea Surface Temperature Indices.Frontiers in public health · 2022Article
- How do the smart travel ban policy and intercity travel pattern affect COVID-19 trends? Lessons learned from Iran.PloS one · 2022Article
- Forecasting the Severity of COVID-19 Pandemic Amidst the Emerging SARS-CoV-2 Variants: Adoption of ARIMA Model.Computational and mathematical methods in medicine · 2022Article
- The Syndemic Theory, the COVID-19 Pandemic, and The Epidemics of Non-Communicable Diseases (NCDs).Medical journal of the Islamic Republic of Iran · 2022Article
- From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19.Applied intelligence (Dordrecht, Netherlands) · 2022Article
- Altered immunoemotional regulatory system in COVID-19: From the origins to opportunities.Journal of neuroimmunology · 2021Review
- Asian-Origin Approved COVID-19 Vaccines and Current Status of COVID-19 Vaccination Program in Asia: A Critical Analysis.Vaccines · 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 has led to a pandemic, affecting almost all countries in a few months. In this work, we applied selected deep learning models including multilayer perceptron, random forest, and different versions of long short-term memory (LSTM), using three data sources to train the models, including COVID-19 occurrences, basic information like coded country names, and detailed information like population, and area of different countries.
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.