ArticleChaos, solitons, and fractals2021
Self organizing maps for the parametric analysis of COVID-19 SEIRS delayed model.
Article in Chaos, solitons, and fractals, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- The Psychosocial Resonance of Food Safety Risk: A Space-Time Perspective.Foods (Basel, Switzerland) · 2025Article
- Modeling the crossover behavior of the bacterial infection with the COVID-19 epidemics.Results in physics · 2022Article
- A security-aware service function chain deployment method for load balance and delay optimization.Scientific reports · 2022Article
- COVID-19 Variants and Transfer Learning for the Emerging Stringency Indices.Neural processing letters · 2022Article
- Forecasting of the efficiency of monoclonal therapy in the treatment of CoViD-19 induced by the Omicron variant of SARS-CoV2.Results in physics · 2022Article
- An efficient density peak cluster algorithm for improving policy evaluation performance.Scientific reports · 2022Article
- The impact of vaccination on the spread of COVID-19: Studying by a mathematical model.Physica A · 2022Article
- Piecewise differentiation of the fractional order CAR-T cells-SARS-2 virus model.Results in physics · 2022Article
- A Hemolysis Image Detection Method Based on GAN-CNN-ELM.Computational and mathematical methods in medicine · 2022Article
- Improvement on PDP Evaluation Performance Based on Neural Networks and SGDK-means Algorithm.Soft computing · 2022Article
- Computational model to explore the endocrine response to trastuzumab action in HER-2/neu positive breast cancer.Saudi journal of biological sciences · 2022Article
- Furin and the adaptive mutation of SARS-COV2: a computational framework.Modeling earth systems and environment · 2022Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since 2019, entire world is facing the accelerating threat of Corona Virus, with its third wave on its way, although accompanied with several vaccination strategies made by world health organization. The control on the transmission of the virus is highly desired, even though several key measures have already been made, including masks, sanitizing and disinfecting measures. The ongoing research, though devoted to this pandemic, has certain flaws, due to which no permanent solution has been discovered. Currently different data based studies have emerged but unfortunately, the pandemic fate is still unrevealed. During this research, we have focused on a compartmental model, where delay is taken into account from one compartment to another. The model depicts the dynamics of the disease relative to time and constant delays in time. A deep learning technique called "Self Organizing Map" is used to extract the parametric values from the data repository of COVID-19. The input we used for SOM are the attributes on which, the variables are dependent. Different grouping/clustering of patients were achieved with 2- dimensional visualization of the input data (
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