Open AccessAn Approach to the Modeling and Simulation of Intra-Hospital Diseases
Author(s) -
Diego Omar Encinas,
Lucas Maccallini,
Fernando Romero
Publication year - 2021
Publication title -
journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 1666-6046
pISSN - 1666-6038
DOI - 10.24215/16666038.21.e14
Subject(s) - computer science , agile software development , modeling and simulation , simulation , theory of computation , simulation modeling , operations research , software engineering , programming language , economics , microeconomics , engineering
This publication presents an approach to a simulator to recreate a large number of scenarios and to make agile decisions in the planning of a real emergency room system. A modeling and simulation focused on the point prevalence of intrahospital infections in an emergency room and how it is affected by different factors related to hospital management. To carry out the simulator modeling, the Agent-based Modeling and Simulation (ABMS) paradigm was used. Thus, different intervening agents in the emergency room environment — patients and doctors, among others— were classified. The user belonging to the health system has different data to configure the simulation, such as the number of patients, the number of available beds, etc.
Based on the tests carried out and the measurements obtained, it is concluded that the disease propagation model relative to the time and contact area of the patients has greater precision than the purely statistical model of the intensive care unit.