Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak
Many research studies have been carried out to understand the epidemiological characteristics of the COVID-19 pandemic in its early phase. The current study is yet another contribution to better understand the disease properties by parameter estimation based on mathematical SIR epidemic modeling. Th...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
ITB Journal Publisher
2021-12-01
|
| Series: | Journal of Mathematical and Fundamental Sciences |
| Subjects: | |
| Online Access: | https://journals.itb.ac.id/index.php/jmfs/article/view/13573 |
| _version_ | 1818894409537683456 |
|---|---|
| author | Shirali Kadyrov Alibek Orynbassar Hayot Berk Saydaliev |
| author_facet | Shirali Kadyrov Alibek Orynbassar Hayot Berk Saydaliev |
| author_sort | Shirali Kadyrov |
| collection | DOAJ |
| description | Many research studies have been carried out to understand the epidemiological characteristics of the COVID-19 pandemic in its early phase. The current study is yet another contribution to better understand the disease properties by parameter estimation based on mathematical SIR epidemic modeling. The authors used Johns Hopkins University’s dataset to estimate the basic reproduction number of COVID-19 for five representative countries (Japan, Germany, Italy, France, and the Netherlands) that were selected using cluster analysis. As byproducts, the authors estimated the transmission, recovery, and death rates for each selected country and carried out statistical tests to see if there were any significant differences. |
| first_indexed | 2024-12-19T18:28:02Z |
| format | Article |
| id | doaj.art-edb60b06b14f41ccb95e0a3f66ee1d17 |
| institution | Directory Open Access Journal |
| issn | 2337-5760 2338-5510 |
| language | English |
| last_indexed | 2024-12-19T18:28:02Z |
| publishDate | 2021-12-01 |
| publisher | ITB Journal Publisher |
| record_format | Article |
| series | Journal of Mathematical and Fundamental Sciences |
| spelling | doaj.art-edb60b06b14f41ccb95e0a3f66ee1d172022-12-21T20:10:47ZengITB Journal PublisherJournal of Mathematical and Fundamental Sciences2337-57602338-55102021-12-0153310.5614/j.math.fund.sci.2021.53.3.2Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the OutbreakShirali Kadyrov0Alibek Orynbassar1Hayot Berk Saydaliev2Faculty of Engineering and Natural Sciences, Suleyman Demirel University, Kaskelen, KazakhstanFaculty of Education and Humanities Sciences, Suleyman Demirel University, 7 Kaskelen, KazakhstanBusiness School, Suleyman Demirel University, Kaskelen, KazakhstanMany research studies have been carried out to understand the epidemiological characteristics of the COVID-19 pandemic in its early phase. The current study is yet another contribution to better understand the disease properties by parameter estimation based on mathematical SIR epidemic modeling. The authors used Johns Hopkins University’s dataset to estimate the basic reproduction number of COVID-19 for five representative countries (Japan, Germany, Italy, France, and the Netherlands) that were selected using cluster analysis. As byproducts, the authors estimated the transmission, recovery, and death rates for each selected country and carried out statistical tests to see if there were any significant differences.https://journals.itb.ac.id/index.php/jmfs/article/view/13573basic reproductionclusteringCOVID-19doubling perioddynamical systemsparameter estimation |
| spellingShingle | Shirali Kadyrov Alibek Orynbassar Hayot Berk Saydaliev Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak Journal of Mathematical and Fundamental Sciences basic reproduction clustering COVID-19 doubling period dynamical systems parameter estimation |
| title | Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak |
| title_full | Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak |
| title_fullStr | Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak |
| title_full_unstemmed | Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak |
| title_short | Purely Data-driven Exploration of COVID-19 Pandemic After Three Months of the Outbreak |
| title_sort | purely data driven exploration of covid 19 pandemic after three months of the outbreak |
| topic | basic reproduction clustering COVID-19 doubling period dynamical systems parameter estimation |
| url | https://journals.itb.ac.id/index.php/jmfs/article/view/13573 |
| work_keys_str_mv | AT shiralikadyrov purelydatadrivenexplorationofcovid19pandemicafterthreemonthsoftheoutbreak AT alibekorynbassar purelydatadrivenexplorationofcovid19pandemicafterthreemonthsoftheoutbreak AT hayotberksaydaliev purelydatadrivenexplorationofcovid19pandemicafterthreemonthsoftheoutbreak |