Modeling and optimal control analysis of age-structured Brucellosis under environmental transmission with vaccination and culling

Brucellosis is currently recognized as one of the most serious zoonotic infectious diseases, caused by Brucella abortus, and is classified by the World Organization for Animal Health as a Category B zoonotic disease. In this study, we developed a new seven-compartment model of the transmission dynamics brucellosis in sheep, which accounts for the combined effects of vaccination, age structure, culling of infected sheep, and the impact of the contaminated environment. Our analysis demonstrates that the DFE point of the system is globally and asymptotically stable when the basic reproduction number $ R_0 < 1 $. Furthermore, we show that the disease persists when $ R_0 > 1 $, in accordance with the theory of uniform persistence. In the numerical simulation section, we fit data on the number of Brucella infections in sheep in Egypt from 1999 to 2010 and estimate the model's parameters using the least squares method. Based on this, we propose four control strategies to establish the optimal control system. We applied Pontryagin's maximum principle to derive the necessary conditions for optimal control and perform numerical simulations. A cost-benefit analysis was conducted from the perspective of sheep farmers. Our findings suggest that the most cost-effective strategy for reducing brucellosis infection rates in sheep is to uniformly house young sheep and vaccinate them simultaneously.

Authors

Institutions

Publication Details

Journal
Electronic Research Archive
Published
2025-01-01
DOI
https://doi.org/10.3934/era.2025229
Primary Topic
Brucella: diagnosis, epidemiology, treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling and optimal control analysis of age-structured Brucellosis under environmental transmission with vaccination and culling

Qun Dai, Liming Guo
Electronic Research Archive
Brucella: diagnosis, epidemiology, treatment
article

Modeling and optimal control analysis of age-structured Brucellosis under environmental transmission with vaccination and culling

Qun Dai, Liming Guo
article en

Abstract

Brucellosis is currently recognized as one of the most serious zoonotic infectious diseases, caused by Brucella abortus, and is classified by the World Organization for Animal Health as a Category B zoonotic disease. In this study, we developed a new seven-compartment model of the transmission dynamics brucellosis in sheep, which accounts for the combined effects of vaccination, age structure, culling of infected sheep, and the impact of the contaminated environment. Our analysis demonstrates that the DFE point of the system is globally and asymptotically stable when the basic reproduction number $ R_0 < 1 $. Furthermore, we show that the disease persists when $ R_0 > 1 $, in accordance with the theory of uniform persistence. In the numerical simulation section, we fit data on the number of Brucella infections in sheep in Egypt from 1999 to 2010 and estimate the model's parameters using the least squares method. Based on this, we propose four control strategies to establish the optimal control system. We applied Pontryagin's maximum principle to derive the necessary conditions for optimal control and perform numerical simulations. A cost-benefit analysis was conducted from the perspective of sheep farmers. Our findings suggest that the most cost-effective strategy for reducing brucellosis infection rates in sheep is to uniformly house young sheep and vaccinate them simultaneously.

Electronic Research ArchiveVol. 33(8)
Changchun University of Science and Technology (CN)
Zero hunger
Openalex Percentile: Top 75%
Brucella: diagnosis, epidemiology, treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.