Agent-based simulations for protecting nursing homes with prevention and vaccination strategies
Jana Lasser, Johannes Zuber, Johannes Sorger, Elma Dervic and, Katharina Ledebur, Simon David Lindner, Elisabeth Klager, Maria, Klete\v{c}ka-Pulker, Harald Willschke, Katrin Stangl, Sarah, Stadtmann, Christian Haslinger, Peter Klimek, Thomas Wochele-Thoma

TL;DR
This study develops an agent-based model to evaluate COVID-19 prevention strategies in nursing homes, highlighting the importance of testing timing, vaccination coverage, and test sensitivity for outbreak control.
Contribution
It introduces a detailed, calibrated agent-based model for SARS-CoV-2 spread in nursing homes, assessing the effectiveness of testing and vaccination strategies.
Findings
Preventive employee testing can control outbreaks without vaccination if tests are sensitive and frequent.
Vaccinating 80% or more of residents can prevent outbreaks even without testing.
Test timing and sensitivity are critical for effective outbreak mitigation.
Abstract
Due to its high lethality amongst the elderly, the safety of nursing homes has been of central importance during the COVID-19 pandemic. With test procedures becoming available at scale, such as antigen or RT-LAMP tests, and increasing availability of vaccinations, nursing homes might be able to safely relax prohibitory measures while controlling the spread of infections (meaning an average of one or less secondary infections per index case). Here, we develop a detailed agent-based epidemiological model for the spread of SARS-CoV-2 in nursing homes to identify optimal prevention strategies. The model is microscopically calibrated to high-resolution data from nursing homes in Austria, including detailed social contact networks and information on past outbreaks. We find that the effectiveness of mitigation testing depends critically on the timespan between test and test result, the…
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Taxonomy
TopicsCOVID-19 epidemiological studies
