This analysis compares the epidemiology and pathogenesis of SARS and COVID-19, highlighting transmission and global impact.
This study compares SARS-CoV-1 (SARS) with SARS-CoV-2 (COVID-19) epidemiology, pathophysiology, and worldwide effects. It examines the biological causes and widespread impacts of SARS-CoV-1 and SARS-CoV-2. The study examines transmission, immunological responses, and global expansion of these two diseases. Researchers have used various modelling methods to assess the pandemic's global and local effects. These methods include deterministic, data-driven, stochastic, agent-based, and their combinations. These models predict the epidemic's trajectory and evaluate non-pharmaceutical therapies' worldwide impact. Deterministic models like SIR and SEIR are used in infectious disease research. These models are applied to SARS-CoV-1 and SARS-CoV-2, highlighting their importance in public health measures. This article identifies crisis techniques like the pandemic to help modellers prepare for future outbreaks.
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Ke Cao (2025) studied this question.
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