The Analysis of Turkey’s Fight Against the COVID-19 Outbreak Using K-Means Clustering and Curve Fitting
The COVID-19 is a global disease that occurred at the end of 2019 and it has shown its effects all over the world in a very short time. World Health Organization has mobilized all the countries of the world to survive with minimal damage from this outbreak. The situation in some countries was under...
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| Format: | Article |
| Language: | English |
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World Scientific Publishing
2022-02-01
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| Series: | Vietnam Journal of Computer Science |
| Subjects: | |
| Online Access: | https://www.worldscientific.com/doi/10.1142/S2196888822500051 |
| _version_ | 1819121686663921664 |
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| author | Fatih Ahmet Şenel |
| author_facet | Fatih Ahmet Şenel |
| author_sort | Fatih Ahmet Şenel |
| collection | DOAJ |
| description | The COVID-19 is a global disease that occurred at the end of 2019 and it has shown its effects all over the world in a very short time. World Health Organization has mobilized all the countries of the world to survive with minimal damage from this outbreak. The situation in some countries was under control as their health infrastructure is robust enough. On the other hand, many countries suffered significant damage from the outbreak. The countries that have already taken their precautions have suffered less, Turkey is one of the leading countries. Besides taking precautions in advance, countries are guiding each other throughout the outbreak. Therefore, the countries leading the fight against the outbreak should be analyzed and each country should update its precautions to fight the outbreak. In this study, COVID-19 deaths are taken into account and similar countries to Turkey are identified by K-means clustering. Later, by comparing the various characteristics of Turkey with these similar countries, Turkey’s status in fighting the outbreak is revealed. The precautions Turkey took before the outbreak showed that Turkey can fight the COVID-19 outbreak successfully. |
| first_indexed | 2024-12-22T06:40:30Z |
| format | Article |
| id | doaj.art-a03c47f4f4704ae38df3b110e59ad9cf |
| institution | Directory Open Access Journal |
| issn | 2196-8888 2196-8896 |
| language | English |
| last_indexed | 2024-12-22T06:40:30Z |
| publishDate | 2022-02-01 |
| publisher | World Scientific Publishing |
| record_format | Article |
| series | Vietnam Journal of Computer Science |
| spelling | doaj.art-a03c47f4f4704ae38df3b110e59ad9cf2022-12-21T18:35:26ZengWorld Scientific PublishingVietnam Journal of Computer Science2196-88882196-88962022-02-010901193010.1142/S2196888822500051The Analysis of Turkey’s Fight Against the COVID-19 Outbreak Using K-Means Clustering and Curve FittingFatih Ahmet Şenel0Department of Computer Engineering, Süleyman Demirel University, Isparta 32260, TurkeyThe COVID-19 is a global disease that occurred at the end of 2019 and it has shown its effects all over the world in a very short time. World Health Organization has mobilized all the countries of the world to survive with minimal damage from this outbreak. The situation in some countries was under control as their health infrastructure is robust enough. On the other hand, many countries suffered significant damage from the outbreak. The countries that have already taken their precautions have suffered less, Turkey is one of the leading countries. Besides taking precautions in advance, countries are guiding each other throughout the outbreak. Therefore, the countries leading the fight against the outbreak should be analyzed and each country should update its precautions to fight the outbreak. In this study, COVID-19 deaths are taken into account and similar countries to Turkey are identified by K-means clustering. Later, by comparing the various characteristics of Turkey with these similar countries, Turkey’s status in fighting the outbreak is revealed. The precautions Turkey took before the outbreak showed that Turkey can fight the COVID-19 outbreak successfully.https://www.worldscientific.com/doi/10.1142/S2196888822500051COVID-19curve fittingK-meansoutbreakTurkey |
| spellingShingle | Fatih Ahmet Şenel The Analysis of Turkey’s Fight Against the COVID-19 Outbreak Using K-Means Clustering and Curve Fitting Vietnam Journal of Computer Science COVID-19 curve fitting K-means outbreak Turkey |
| title | The Analysis of Turkey’s Fight Against the COVID-19 Outbreak Using K-Means Clustering and Curve Fitting |
| title_full | The Analysis of Turkey’s Fight Against the COVID-19 Outbreak Using K-Means Clustering and Curve Fitting |
| title_fullStr | The Analysis of Turkey’s Fight Against the COVID-19 Outbreak Using K-Means Clustering and Curve Fitting |
| title_full_unstemmed | The Analysis of Turkey’s Fight Against the COVID-19 Outbreak Using K-Means Clustering and Curve Fitting |
| title_short | The Analysis of Turkey’s Fight Against the COVID-19 Outbreak Using K-Means Clustering and Curve Fitting |
| title_sort | analysis of turkey s fight against the covid 19 outbreak using k means clustering and curve fitting |
| topic | COVID-19 curve fitting K-means outbreak Turkey |
| url | https://www.worldscientific.com/doi/10.1142/S2196888822500051 |
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