OpenAlex | An SEIARD epidemic model for COVID-19 in Mexico: Mathematical analysis and state-level forecast

An SEIARD epidemic model for COVID-19 in Mexico: Mathematical analysis and state-level forecast

Work

Year: 2020

Type: article

Source: Chaos Solitons & Fractals

Authors Ugo Avila-Ponce de León, Ángel Pérez, Eric Ávila-Vales

Institutions Universidad Nacional Autónoma de México, Autonomous University of Yucatán

Cites: 23

Cited by: 77

Related to: 10

FWCI: 2.12

Citation percentile (by year/subfield): 77.36

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

Sustainable Development Goal Good health and well-being

Open Access status: bronze