A Novel Compartmental Approach to Modeling COVID-19 Disease Dynamics and Analyzing the Effect of Common Preventative Measures
Caden Lin

TL;DR
This paper introduces a new compartmental model for COVID-19 that incorporates various interventions and analyzes their effectiveness, highlighting quarantine and social distancing as the most impactful measures.
Contribution
The study develops a novel, detailed compartmental model for COVID-19 that includes multiple intervention compartments and provides insights into the relative effectiveness of preventative measures.
Findings
Quarantine and social distancing are most effective in reducing infection rates.
Vaccination and testing also contribute but to a lesser extent.
High asymptomatic rate and long incubation period drive rapid COVID-19 spread.
Abstract
As of December 2020, the COVID-19 pandemic has infected over 75 million people, making it the deadliest pandemic in modern history. This study develops a novel compartmental epidemiological model specific to the SARS-CoV-2 virus and analyzes the effect of common preventative measures such as testing, quarantine, social distancing, and vaccination. By accounting for the most prevalent interventions that have been enacted to minimize the spread of the virus, the model establishes a paramount foundation for future mathematical modeling of COVID-19 and other modern pandemics. Specifically, the model expands on the classic SIR model and introduces separate compartments for individuals who are in the incubation period, asymptomatic, tested-positive, quarantined, vaccinated, or deceased. It also accounts for variable infection, testing, and death rates. I first analyze the outbreak in Santa…
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Taxonomy
TopicsCOVID-19 epidemiological studies
