Evaluating the impacts of relaxation and mutation in the SARS-CoV-2 on the COVID-19 epidemic based on a mathematical model: a case study of São Paulo state (Brazil)

DOI10.1007/S40314-021-01661-WzbMath1476.92050OpenAlexW3205574335MaRDI QIDQ2052320

Ariana Campos Yang, Fabio Fernandes Morato Castro, Luis Pedro Lombardi Junior, Hyung Mo Yang

Publication date: 25 November 2021

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-021-01661-w

zbMATH Keywords

mathematical modelepidemiological scenariosmutation and vaccinationquarantine and relaxationSARS-CoV-2 and COVID-19

Mathematics Subject Classification ID

Epidemiology (92D30)

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A novel SEIAHR compartment model for accessing the impact of vaccination, intervention policies, and quarantine on the COVID-19 pandemic: a case study of most affected countries Brazil, India, Italy, and USA

Cites Work

• Proof of conjecture in: The basic reproduction number obtained from Jacobian and next generation matrices -- a case study of dengue transmission modelling
• Modeling directly transmitted infections in a routinely vaccinated population -- the force of infection described by a Volterra integral equation
• Modeling the transmission of the new coronavirus in São Paulo State, Brazil—assessing the epidemiological impacts of isolating young and elder persons
• ARE THE BEGINNING AND ENDING PHASES OF EPIDEMICS CHARACTERIZED BY THE NEXT GENERATION MATRICES? – A CASE STUDY OF DRUG-SENSITIVE AND RESISTANT TUBERCULOSIS MODEL

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