Mathematical modeling the epicenters of coronavirus disease-2019 (COVID-19) pandemic

8Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

Abstract

In epidemiology, the modeling of epicenters is important both conceptually and mathematically. This paper is an attempt to model epicenters mathematically. We present an algorithm to find new epicenters. Applying our model for the data related to COVID-19 pandemic, we obtain epicenters in China, South Korea, Iran, Italy, France, Germany, Spain, the USA, and Switzerland, on the days 1, 35, 42, 42, 49, 50, 50, 50, and 56, respectively. Although the number of these epicenters is less than 5% of all contaminated countries across the globe, as of March 22, 2020, they make up 74% of new cases and over 80% of total confirmed cases. Finally, we conclude that we expect to face three new epicenters between March 22 and April 1, 2020.

Cite

CITATION STYLE

APA

Jamshidi, B., Rezaei, M., Zargaran, S. J., & Najafi, F. (2020). Mathematical modeling the epicenters of coronavirus disease-2019 (COVID-19) pandemic. Epidemiologic Methods, 9(s1). https://doi.org/10.1515/em-2020-0009

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free