Modeling the Dynamics of the Coronavirus SARS-CoV-2 Pandemic and the Role of Vaccination in Stopping its Spread

Anne Ginzburg; Leela Rakesh

Modeling the Dynamics of the Coronavirus SARS-CoV-2 Pandemic and the Role of Vaccination in Stopping its Spread

Mathematics

Research output: Other contribution

Abstract

New Analysis of Covid-19 modeling and simulation: Comparison between Mean-Field Mechanistic and Stochastic Model with Spatially in-homogeneous Model

Original language	English
State	Published - Apr 23 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Modeling the Dynamics of the Coronavirus SARS-CoV-2 Pandemic and the Role of Vaccination in Stopping its Spread",

abstract = "New Analysis of Covid-19 modeling and simulation: Comparison between Mean-Field Mechanistic and Stochastic Model with Spatially in-homogeneous Model",

author = "Anne Ginzburg and Leela Rakesh",

year = "2021",

month = apr,

day = "23",

language = "English",

type = "Other",

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T1 - Modeling the Dynamics of the Coronavirus SARS-CoV-2 Pandemic and the Role of Vaccination in Stopping its Spread

AU - Ginzburg, Anne

AU - Rakesh, Leela

PY - 2021/4/23

Y1 - 2021/4/23

N2 - New Analysis of Covid-19 modeling and simulation: Comparison between Mean-Field Mechanistic and Stochastic Model with Spatially in-homogeneous Model

AB - New Analysis of Covid-19 modeling and simulation: Comparison between Mean-Field Mechanistic and Stochastic Model with Spatially in-homogeneous Model

M3 - Other contribution

ER -

Modeling the Dynamics of the Coronavirus SARS-CoV-2 Pandemic and the Role of Vaccination in Stopping its Spread

Abstract

UN SDGs

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