Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-12647
For citation please use:
Main Title: Deterministic and stochastic effects in spreading dynamics: A case study of bovine viral diarrhea
Author(s): Galler, Markus
Lüdge, Kathy
Humphries, Rory
Mulchrone, Kieran
Hövel, Philipp
Type: Article
URI: https://depositonce.tu-berlin.de/handle/11303/13874
http://dx.doi.org/10.14279/depositonce-12647
License: https://creativecommons.org/licenses/by/4.0/
Abstract: Bovine viral diarrhea (BVD) is a disease in cattle with complex transmission dynamics that causes substantial economic losses and affects animal welfare. The infection can be transient or persistent. The mostly asymptomatic persistently infected hosts are the main source for transmission of the virus. This characteristic makes it difficult to control the spreading of BVD. We develop a deterministic compartmental model for the spreading dynamics of BVD within a herd and derive the basic reproduction number. This epidemiological quantity indicates that identification and removal of persistently infected animals is a successful control strategy if the transmission rate of transiently infected animals is small. Removing persistently infected animals from the herd at birth results in recurrent outbreaks with decreasing peak prevalence. We propose a stochastic version of the compartmental model that includes stochasticity in the transmission parameters. This stochasticity leads to sustained oscillations in cases where the deterministic model predicts oscillations with decreasing amplitude. The results provide useful information for the design of control strategies. Dynamical systems are often described by deterministic mathematical models, where the state of the system is determined by the initial conditions. Many real-world processes, however, include an element of probability or randomness. Even so, deterministic models might still be able to reproduce the main trend as a mean-field approximation but fail to capture the spectrum of possible dynamical scenarios of individual realizations. In addition, stochastic input such as noise can trigger the emergence of hidden dynamical features with surprising effects such as stochastic resonance, coherence resonance, or other noise-induced changes of dynamical behavior. Here, we present the example of a cattle disease that is realized as an extended susceptible-infected-recovered model. To explore the impact of stochasticity on the temporal behavior of the dynamics, we consider a stochastic transmission coefficient and systematically investigate the interplay between parameter noise and the intrinsic time scales of the underlying deterministic system.
Subject(s): mathematical modeling
epidemic threshold
diseases and conditions
stochastic processes
Issue Date: 23-Sep-2021
Date Available: 12-Nov-2021
Language Code: en
DDC Class: 530 Physik
Sponsor/Funder: DFG, 163436311, SFB 910: Kontrolle selbstorganisierender nichtlinearer Systeme: Theoretische Methoden und Anwendungskonzepte
Journal Title: Chaos
Publisher: American Institute of Physics
Volume: 31
Article Number: 093129
Publisher DOI: 10.1063/5.0058688
EISSN: 1089-7682
ISSN: 1054-1500
TU Affiliation(s): Fak. 2 Mathematik und Naturwissenschaften » Inst. Theoretische Physik » AG Nichtlineare Laserdynamik
Appears in Collections:Technische Universität Berlin » Publications

Files in This Item:

Item Export Bar

This item is licensed under a Creative Commons License Creative Commons