Epidemic on a changing network: College outbreaks and vaccination

Madhavan Iyengar, Varun Nimmagadda and Evgeniy Khain
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Madhavan Iyengar: Troy High School, Troy, MI 48098, USA2Department of Physics, Oakland University, Rochester, MI 48309, USA
Varun Nimmagadda: Novi High School, Novi, MI 48375, USA4College of Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Evgeniy Khain: Department of Physics, Oakland University, Rochester, MI 48309, USA

International Journal of Modern Physics C (IJMPC), 2022, vol. 33, issue 07, 1-17

Abstract: In this paper, we consider the spread of an epidemic on a changing network, specifically focusing on two phenomena. The first part of the paper investigates a possible mechanism of disease outbreaks on college campuses. We present a toy model, dividing students into extroverts (high-degree nodes with a large number of contacts) and introverts (low-degree nodes with a small number of contacts). In our model, the average degree of extroverts is evolving with time, and its dynamics is coupled with the current epidemic situation: extroverts tend to increase their number of contacts for low level of epidemic, but as more and more students get infected, they start decreasing their average degree. Another phenomenon analyzed in the paper is vaccination: how should the vaccine be allocated to best benefit the population? We consider two possible vaccination strategies: (1) vaccinating people starting from high risk groups (older people with a higher risk of mortality) or (2) prioritizing vaccination of people with a higher number of contacts (such as college students) to decrease the epidemic outbreak. Both phenomena show the importance of diversity in the number of contacts.

Keywords: Dynamic network; epidemic; adaptation; collective behavior (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0129183122500978

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