Abstract
SEIR models are typically conjured for populations in open environments; however, there seems to be a lack of these types of models that deal with infection rates amongst enclosed spaces. We have also seen certain age groups struggle to deal with COVID-19 more than others, and to this end, we have constructed an age-structured SEIR model that incorporates the Gammaitoni–Nucci model, which is used for infective material in an enclosed space with ventilation. We apply some sensitivity analysis to better understand which parameters have the biggest impact on overall infection rates, as well as create a realistic scenario in which we apply our model to see the comparison in sickness rates amongst four different age groups with different ventilation filtration systems (UVGI, HEPA) and differing quanta production rates.
Highlights
As we enter another phase of what, as of 22 February 2021, was already one of the top ten deadliest diseases in human history [1], it is imperative humanity has all the tools necessary to prevent its most vulnerable, the suffering that many have already had to endure
Model), it is of great importance to briefly examine the governing equation that lead to the success of their model
Since we are discussing COVID-19, we will make appropriate assumptions on some of the parameters used in the model that will be static throughout all of the trials
Summary
As we enter another phase of what, as of 22 February 2021, was already one of the top ten deadliest diseases in human history [1], it is imperative humanity has all the tools necessary to prevent its most vulnerable, the suffering that many have already had to endure. There are so many of these marginalized groups that there is no way to analyze them all in the scope of this study. This leads us to look for which group might be the most vulnerable, which brought us to Figure A2 [3]. We can see that deaths resulting from COVID-19 are heavily skewed towards the elderly and that those aged 65 and older account for 79.3% of the COVID-19 deaths in the USA [7], while only accounting for 16.5% of the population [8]. When compared to the death proportion overall (including COVID-19) of 73.9% for the 65+ group, there is reason to believe that the elderly are more adversely affected than other age groups
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
