Spatial-temporal simulation for hospital infection spread and outbreaks of Clostridioides difficile.

ABSTRACT: Validated and curated datasets are essential for studying the spread and control of infectious diseases in hospital settings, requiring clinical information on patients' evolution and their location. The literature shows that approaches based on Artificial Intelligence (AI) in the development of clinical-support systems have benefits that are increasingly recognized. However, there is a lack of available high-volume data, necessary for trusting such AI models. One effective method in this situation involves the simulation of realistic data. Existing simulators primarily focus on implementing compartmental epidemiological models and contact networks to validate epidemiological hypotheses. Nevertheless, other practical aspects such as the hospital building distribution, shifts or safety poli

SUBMITTER: Kim D 

PROVIDER: S-EPMC10654661 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature