Mathematic modeling of COVID-19 in the United States
Yuanji Tang, Shixia Wang
Abstract
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.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)OutbreakPandemicScope (computer science)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)GeographyEconomic growthComputer scienceVirologyMedicineEconomicsInfectious disease (medical specialty)DiseaseProgramming languagePathologyCOVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies