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Dynamics of COVID-19 Transmission: Compartmental-based Mathematical Modeling


Article Information

Title: Dynamics of COVID-19 Transmission: Compartmental-based Mathematical Modeling

Authors: Amna Ishtiaq

Journal: Life and Science

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30

Publisher: National University of Medical Sciences, Rawalpindi

Country: Pakistan

Year: 2020

Volume: 1

Issue: Supplementary

Language: en

DOI: 10.37185/LnS.1.1.134

Keywords: COVID-19Compartmental-Based ModelsEmerging Infectious DiseaseTransmission Dynamics

Categories

Abstract




The current pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-Cov2) demands scientists all over the world to make their possible contributions in whatever way possible to control this disease. In such health emergency, mathematical epidemiologists are playing a pivotal role by constructing different mathematical and statistical models for predicting different future scenario and their impact on different intervention strategies to policy makers and health legislators. Compartmental-based models (CBM), are a type of transmission dynamic framework, which are one of the most studied models during this pandemic. This communication highlights the role CBM models play for the understanding of COVID-19 transmission dynamics.



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