A modified age-structured SIR model for COVID-19 type viruses

We present a modified age-structured SIR model based on known patterns of social contact and distancing measures within Washington, USA. We find that population age-distribution has a significant effect on disease spread and mortality rate, and contribute to the efficacy of age-specific contact and treatment measures. We consider the effect of relaxing restrictions across less vulnerable age-brackets, comparing results across selected groups of varying population parameters. Moreover, we analyze the mitigating effects of vaccinations and examine the effectiveness of age-targeted distributions. Lastly, we explore how our model can applied to other states to reflect social-distancing policy based on different parameters and metrics.

Automated summary

The study shows that population age distribution has a significant impact on disease spread and mortality rate, and age-specific measures play a crucial role in disease control. By relaxing restrictions and comparing results across different population parameters, the efficacy of disease control can be better understood. Additionally, the study analyzes the effects of vaccinations and age-targeted distributions.