Mathematical Approaches to Analysing the COVID-19 Pandemic and Preventive Measures

Abstract: One of the most effective techniques for exploring the wide range of intervention tactics, working out the basic rate of reproduction, and predicting the spread of disease is mathematical modelling. This work analyses the mathematical models used to study the dynamics of coronavirus disease 2019 (COVID-19) transmission. We searched four internet databases for studies that employed a mathematical modelling approach based on compartmental models to assess the COVID-19 transmission kinetics. Eligible for inclusion was research that used compartmental models to describe COVID-19 transmission that was published in English in preprints and peer-reviewed publications between December 30, 2019, and May 25, 2020. This time frame was selected for the constraint because it coincided with the onset and peak of the epidemic in numerous nations around the globe.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-10
DOI
https://doi.org/10.5281/zenodo.13622553
Primary Topic
COVID-19 epidemiological studies
Type
article
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article

Mathematical Approaches to Analysing the COVID-19 Pandemic and Preventive Measures

Zenodo (CERN European Organization for Nuclear Research)
COVID-19 epidemiological studies
article

Mathematical Approaches to Analysing the COVID-19 Pandemic and Preventive Measures

article en

Abstract

Abstract: One of the most effective techniques for exploring the wide range of intervention tactics, working out the basic rate of reproduction, and predicting the spread of disease is mathematical modelling. This work analyses the mathematical models used to study the dynamics of coronavirus disease 2019 (COVID-19) transmission. We searched four internet databases for studies that employed a mathematical modelling approach based on compartmental models to assess the COVID-19 transmission kinetics. Eligible for inclusion was research that used compartmental models to describe COVID-19 transmission that was published in English in preprints and peer-reviewed publications between December 30, 2019, and May 25, 2020. This time frame was selected for the constraint because it coincided with the onset and peak of the epidemic in numerous nations around the globe.

Zenodo (CERN European Organization for Nuclear Research)
Pravara Institute of Medical Sciences (IN)
Good health and well-being
Openalex Percentile: Top 69%
COVID-19 epidemiological studies
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Mathematical Approaches to Analysing the COVID-19 Pandemic and Preventive Measures · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS