Agent-Based Modeling of C. Difficile Spread in Hospitals: Assessing Contribution of High-Touch vs. Low-Touch Surfaces and Inoculations' Containment Impact
CoRR(2024)
摘要
Health issues and pandemics remain paramount concerns in the contemporary
era. Clostridioides Difficile Infection (CDI) stands out as a critical
healthcare-associated infection with global implications. Effectively
understanding the mechanisms of infection dissemination within healthcare units
and hospitals is imperative to implement targeted containment measures. In this
study, we address the limitations of prior research by Sulyok et al., where
they delineated two distinct categories of surfaces as high-touch and low-touch
fomites, and subsequently evaluated the viral spread contribution of each
surface utilizing mathematical modeling and Ordinary Differential Equations
(ODE). Acknowledging the indispensable role of spatial features and
heterogeneity in the modeling of hospital and healthcare settings, we employ
agent-based modeling to capture new insights. By incorporating spatial
considerations and heterogeneous patients, we explore the impact of high-touch
and low-touch surfaces on contamination transmission between patients.
Furthermore, the study encompasses a comprehensive assessment of various
cleaning protocols, with differing intervals and detergent cleaning efficacies,
in order to identify the most optimal cleaning strategy and the most important
factor amidst the array of alternatives. Our results indicate that, among
various factors, the frequency of cleaning intervals is the most critical
element for controlling the spread of CDI in a hospital environment.
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