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PMID: 40449318 Published · ppublish English Journal Article

A CFD-informed barn-level swine disease dissemination model and its use for ventilation optimization.

Epidemics ·Vol. 51 ·2025-06-00 ·页码 100835

Safari M, Fleming C, Galvis JA, Deka A, Sanchez F, Machado G, Yeh CA

Abstract

The airborne spread of infectious livestock diseases plays a crucial role in the propagation of epidemics, particularly in populations confined to densely populated facilities, such as commercial swine barns. In this study, we present a framework to study airborne disease dissemination within commercial swine barns and facilitate the strategic design of control actions, including optimization of ventilation and placement of sick animals (sick pen). This framework is based on a susceptible-infected-recovered (SIR) model that accounts for the between-pen disease spread within swine barns. A pen-to-pen contact network is used to construct a transmission matrix according to the transport of airborne respiratory pathogens across pens in the barns, via our Reynolds-averaged Navier-Stokes computational fluid dynamics (CFD) solver. By employing this CFD-augmented SIR model, we demonstrated that the location of the sick pen and the barn ventilation configuration played crucial roles in modifying disease dissemination dynamics at the barn level. In addition, we examined the effect of natural ventilation through different curtain adjustments. We observed that curtain adjustments either suppress the disease spread by an average of 64.8% or exacerbate the outbreak potential by an average of 5.8%, compared to the scenario where side curtains are not raised. Furthermore, we optimize the ventilation configuration via the selection and placement of ventilation fans through the integration of the CFD-augmented framework with the genetic algorithm to minimize the dissemination of swine disease within barns. Compared to the original barn ventilation settings, our optimized ventilation system significantly reduced disease spread by an average of 20%. Our study demonstrates that the use of the proposed framework provides a detailed understanding of the flow physics and the transport of airborne pathogens, which facilitate the optimization of ventilation systems and strategic management of sick pens within the swine barns.

Keywords
Airflow Computational fluid dynamics Disease spread Genetic algorithm Livestock disease dissemination Preventive actions Swine disease
MeSH 主题词
Animals Swine Ventilation/methods Swine Diseases/transmission,epidemiology,prevention & control Hydrodynamics Housing, Animal Animal Husbandry
作者与单位
共 7 位作者,点击展开单位 / ORCID
Safari Maryam
Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, USA.
Fleming Christian
Department of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
Galvis Jason A
Department of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
Deka Aniruddha
Department of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
Sanchez Felipe
Department of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
Machado Gustavo
Department of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA. Electronic address: [email protected].
Yeh Chi-An
Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, USA.
Article Info
Journal
Epidemics
Abbr.
Epidemics
ISSN
1878-0067
Corresponding email
Published
2025-06-00
电子出版
2025-00-24
页码
100835
Language
English
Country/Region
Netherlands
NLM ID
101484711
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