Quantitative analysis and mathematic modeling of the global outbreak of COVID-19
The coronavirus pandemic is the biggest in the past 100 years, affected over 200 countries and killed over 300 thousand people. To better understand the epidemics in different areas, the progress percentage was generated in this study by dividing everyday total confirmed case number by the up-to-da...
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| Format: | Article |
| Language: | English |
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The Journal of Infection in Developing Countries
2020-10-01
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| Series: | Journal of Infection in Developing Countries |
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| Online Access: | https://jidc.org/index.php/journal/article/view/13150 |
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| author | Yanyan Jiang Xuefeng Jiang Wenjun Tong Jingming Zhou |
| author_facet | Yanyan Jiang Xuefeng Jiang Wenjun Tong Jingming Zhou |
| author_sort | Yanyan Jiang |
| collection | DOAJ |
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The coronavirus pandemic is the biggest in the past 100 years, affected over 200 countries and killed over 300 thousand people. To better understand the epidemics in different areas, the progress percentage was generated in this study by dividing everyday total confirmed case number by the up-to-date total case number, so data obtained from different countries and territories can be put together and compared directly regardless of the large difference in the magnitude of numbers. The global outbreak data were analyzed and categorized into 4 groups based on different epidemic curve stages. The grouping pattern suggests that the geographical position may not play a critical role in the progress of COVID-19 epidemic. In this report, we also used a mathematic model to predict the progress of COVID-19 outbreak in UK, USA and Canada in Group 3, providing valuable information for assessing the risk in these countries and the timing of reopening business.
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| format | Article |
| id | doaj-art-d92bd628b4da48068d49256a0b62681d |
| institution | OA Journals |
| issn | 1972-2680 |
| language | English |
| publishDate | 2020-10-01 |
| publisher | The Journal of Infection in Developing Countries |
| record_format | Article |
| series | Journal of Infection in Developing Countries |
| spelling | doaj-art-d92bd628b4da48068d49256a0b62681d2025-08-20T02:14:16ZengThe Journal of Infection in Developing CountriesJournal of Infection in Developing Countries1972-26802020-10-01141010.3855/jidc.13150Quantitative analysis and mathematic modeling of the global outbreak of COVID-19Yanyan Jiang0Xuefeng Jiang1Wenjun Tong2Jingming Zhou3Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of Biomedical Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, ChinaJiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of Biomedical Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, ChinaJiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of Biomedical Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, ChinaJingling High School Hexi Campus, Nanjing, China The coronavirus pandemic is the biggest in the past 100 years, affected over 200 countries and killed over 300 thousand people. To better understand the epidemics in different areas, the progress percentage was generated in this study by dividing everyday total confirmed case number by the up-to-date total case number, so data obtained from different countries and territories can be put together and compared directly regardless of the large difference in the magnitude of numbers. The global outbreak data were analyzed and categorized into 4 groups based on different epidemic curve stages. The grouping pattern suggests that the geographical position may not play a critical role in the progress of COVID-19 epidemic. In this report, we also used a mathematic model to predict the progress of COVID-19 outbreak in UK, USA and Canada in Group 3, providing valuable information for assessing the risk in these countries and the timing of reopening business. https://jidc.org/index.php/journal/article/view/13150COVID-19epidemicoutbreakprogress percentageprojection |
| spellingShingle | Yanyan Jiang Xuefeng Jiang Wenjun Tong Jingming Zhou Quantitative analysis and mathematic modeling of the global outbreak of COVID-19 Journal of Infection in Developing Countries COVID-19 epidemic outbreak progress percentage projection |
| title | Quantitative analysis and mathematic modeling of the global outbreak of COVID-19 |
| title_full | Quantitative analysis and mathematic modeling of the global outbreak of COVID-19 |
| title_fullStr | Quantitative analysis and mathematic modeling of the global outbreak of COVID-19 |
| title_full_unstemmed | Quantitative analysis and mathematic modeling of the global outbreak of COVID-19 |
| title_short | Quantitative analysis and mathematic modeling of the global outbreak of COVID-19 |
| title_sort | quantitative analysis and mathematic modeling of the global outbreak of covid 19 |
| topic | COVID-19 epidemic outbreak progress percentage projection |
| url | https://jidc.org/index.php/journal/article/view/13150 |
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