tetano
Editor, Senior Moderator
J Infect Dev Ctries
. 2020 Oct 31;14(10):1106-1110.
doi: 10.3855/jidc.13150.
Quantitative analysis and mathematic modeling of the global outbreak of COVID-19
Yanyan Jiang[SUP] 1 [/SUP], Xuefeng Jiang[SUP] 2 [/SUP], Wenjun Tong[SUP] 3 [/SUP], Jingming Zhou[SUP] 4 [/SUP]
Affiliations
Abstract
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.
Keywords: COVID-19; epidemic; outbreak; progress percentage; projection.
. 2020 Oct 31;14(10):1106-1110.
doi: 10.3855/jidc.13150.
Quantitative analysis and mathematic modeling of the global outbreak of COVID-19
Yanyan Jiang[SUP] 1 [/SUP], Xuefeng Jiang[SUP] 2 [/SUP], Wenjun Tong[SUP] 3 [/SUP], Jingming Zhou[SUP] 4 [/SUP]
Affiliations
- PMID: 33175703
- DOI: 10.3855/jidc.13150
Abstract
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.
Keywords: COVID-19; epidemic; outbreak; progress percentage; projection.