COVID-19: Modeling, Prediction, and Control
The newly emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, has been recognized as a pandemic by the World Health Organization (WHO) on 11th March 2020. There are many unknowns about this virus to date and no vaccine or conclusive treatment due to the lac...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-05-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/11/3666 |
| _version_ | 1797567008072531968 |
|---|---|
| author | Ahmad Bani Younes Zeaid Hasan |
| author_facet | Ahmad Bani Younes Zeaid Hasan |
| author_sort | Ahmad Bani Younes |
| collection | DOAJ |
| description | The newly emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, has been recognized as a pandemic by the World Health Organization (WHO) on 11th March 2020. There are many unknowns about this virus to date and no vaccine or conclusive treatment due to the lack of understanding of its pathogenesis and proliferation pathways which are unknown and cannot be traced. The prime objective is to stop its spread worldwide. This article aims to provide predictions of its spread using a stochastic Lotka–Volterra model coupled with an extended Kalman Filter (EKF) algorithm to model the COVID-19 dynamics. Our results show the feasibility of utilizing this model for predicting the spread of the virus and the ability of different control measures (e.g., social distancing) on reducing the number of affected people. |
| first_indexed | 2024-03-10T19:35:29Z |
| format | Article |
| id | doaj.art-38d6b84643c04539b76a43bc400a8668 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T19:35:29Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-38d6b84643c04539b76a43bc400a86682023-11-20T01:44:29ZengMDPI AGApplied Sciences2076-34172020-05-011011366610.3390/app10113666COVID-19: Modeling, Prediction, and ControlAhmad Bani Younes0Zeaid Hasan1Assistant Professor, Aerospace Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-1308, USAAdjunct Faculty, National University, San Diego, CA 92123, USAThe newly emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, has been recognized as a pandemic by the World Health Organization (WHO) on 11th March 2020. There are many unknowns about this virus to date and no vaccine or conclusive treatment due to the lack of understanding of its pathogenesis and proliferation pathways which are unknown and cannot be traced. The prime objective is to stop its spread worldwide. This article aims to provide predictions of its spread using a stochastic Lotka–Volterra model coupled with an extended Kalman Filter (EKF) algorithm to model the COVID-19 dynamics. Our results show the feasibility of utilizing this model for predicting the spread of the virus and the ability of different control measures (e.g., social distancing) on reducing the number of affected people.https://www.mdpi.com/2076-3417/10/11/3666coronavirusLotka-VolterraKalman Filtermodelingepidemic |
| spellingShingle | Ahmad Bani Younes Zeaid Hasan COVID-19: Modeling, Prediction, and Control Applied Sciences coronavirus Lotka-Volterra Kalman Filter modeling epidemic |
| title | COVID-19: Modeling, Prediction, and Control |
| title_full | COVID-19: Modeling, Prediction, and Control |
| title_fullStr | COVID-19: Modeling, Prediction, and Control |
| title_full_unstemmed | COVID-19: Modeling, Prediction, and Control |
| title_short | COVID-19: Modeling, Prediction, and Control |
| title_sort | covid 19 modeling prediction and control |
| topic | coronavirus Lotka-Volterra Kalman Filter modeling epidemic |
| url | https://www.mdpi.com/2076-3417/10/11/3666 |
| work_keys_str_mv | AT ahmadbaniyounes covid19modelingpredictionandcontrol AT zeaidhasan covid19modelingpredictionandcontrol |