Mathematic modeling of COVID-19 in the United States

被引：33

作者：

Tang, Yuanji ^{[1
]}

Wang, Shixia ^{[2
]}

机构：

[1] Appl NanoFemto Technol LLC, Lowell, MA 01851 USA

[2] Univ Massachusetts, Sch Med, Dept Med, Worcester, MA USA

来源：

EMERGING MICROBES & INFECTIONS | 2020年 / 9卷 / 01期

关键词：

COVID-19; SARS-CoV-2; modeling; United States; epidemiology;

D O I：

10.1080/22221751.2020.1760146

中图分类号：

R392 [医学免疫学]; Q939.91 [免疫学];

学科分类号：

100102 ;

摘要：

COVID-19, the worst pandemic in 100 years, has rapidly spread to the entire world in 2 months since its early report in January 2020. Based on the publicly available data sources, we developed a simple mathematic modeling approach to track the outbreaks of COVID-19 in the US and three selected states: New York, Michigan and California. The same approach is applicable to other regions or countries. We hope our work can stimulate more effort in understanding how an outbreak is developing and how big a scope it can be and in what kind of time framework. Such information is critical for outbreak control, resource utilization and re-opening of the normal daily life to citizens in the affected community.

引用

页码：827 / 829

页数：3

共 3 条

[1] Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan [J].