Networks of Necessity: Simulating COVID-19 Mitigation Strategies for Disabled People and Their Caregivers
Thomas E. Valles, Hannah Shoenhard, Joseph Zinski, Sarah Trick, Mason, A. Porter, and Michael R. Lindstrom

TL;DR
This study models COVID-19 transmission among disabled people and caregivers, highlighting effective interventions like mask-wearing, contact-limiting, and strategic vaccination to reduce infections in vulnerable groups.
Contribution
It introduces a network-based simulation incorporating heterogeneity and dynamic measures to identify key interventions for protecting disabled individuals and caregivers.
Findings
Caregivers are the most likely to spread COVID-19.
Mask-wearing and contact-limiting significantly reduce infections.
Vaccinating caregivers offers the best protection for disabled people.
Abstract
A major strategy to prevent the spread of COVID-19 is the limiting of in-person contacts. However, this is impractical or impossible for the many disabled people who do not live in care facilities, but still require caregivers. We seek to determine which interventions can prevent infections among disabled people and their caregivers. We simulate transmission with a model that includes susceptible, exposed, asymptomatic, symptomatically ill, hospitalized, and removed individuals. The networks on which we simulate disease spread incorporate heterogeneity in the risks of different types of interactions, time-dependent lockdown and reopening measures, and contact distributions for four different groups (caregivers, disabled people, essential workers, and the general population). We find the probability of becoming infected is largest for caregivers and second largest for disabled people.…
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Taxonomy
TopicsCOVID-19 epidemiological studies
