Individual-based modelling and control of bovine brucellosis
We present a theoretical approach to control bovine brucellosis. We have used individual-based modelling, which is a network-type alternative to compartmental models. Our model thus considers heterogeneous populations, and spatial aspects such as migration among herds and control actions described a...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
The Royal Society
2018-01-01
|
Series: | Royal Society Open Science |
Subjects: | |
Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180200 |
id |
doaj-8c8d8a09d6a343fda4684171f2004e1c |
---|---|
record_format |
Article |
spelling |
doaj-8c8d8a09d6a343fda4684171f2004e1c2020-11-25T03:57:37ZengThe Royal SocietyRoyal Society Open Science2054-57032018-01-015510.1098/rsos.180200180200Individual-based modelling and control of bovine brucellosisErivelton G. NepomucenoAlípio M. BarbosaMarcos X. SilvaMatjaž PercWe present a theoretical approach to control bovine brucellosis. We have used individual-based modelling, which is a network-type alternative to compartmental models. Our model thus considers heterogeneous populations, and spatial aspects such as migration among herds and control actions described as pulse interventions are also easily implemented. We show that individual-based modelling reproduces the mean field behaviour of an equivalent compartmental model. Details of this process, as well as flowcharts, are provided to facilitate the reproduction of the presented results. We further investigate three numerical examples using real parameters of herds in the São Paulo state of Brazil, in scenarios which explore eradication, continuous and pulsed vaccination and meta-population effects. The obtained results are in good agreement with the expected behaviour of this disease, which ultimately showcases the effectiveness of our theory.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180200bovine brucellosisindividual-based modelmathematical epidemiology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Erivelton G. Nepomuceno Alípio M. Barbosa Marcos X. Silva Matjaž Perc |
spellingShingle |
Erivelton G. Nepomuceno Alípio M. Barbosa Marcos X. Silva Matjaž Perc Individual-based modelling and control of bovine brucellosis Royal Society Open Science bovine brucellosis individual-based model mathematical epidemiology |
author_facet |
Erivelton G. Nepomuceno Alípio M. Barbosa Marcos X. Silva Matjaž Perc |
author_sort |
Erivelton G. Nepomuceno |
title |
Individual-based modelling and control of bovine brucellosis |
title_short |
Individual-based modelling and control of bovine brucellosis |
title_full |
Individual-based modelling and control of bovine brucellosis |
title_fullStr |
Individual-based modelling and control of bovine brucellosis |
title_full_unstemmed |
Individual-based modelling and control of bovine brucellosis |
title_sort |
individual-based modelling and control of bovine brucellosis |
publisher |
The Royal Society |
series |
Royal Society Open Science |
issn |
2054-5703 |
publishDate |
2018-01-01 |
description |
We present a theoretical approach to control bovine brucellosis. We have used individual-based modelling, which is a network-type alternative to compartmental models. Our model thus considers heterogeneous populations, and spatial aspects such as migration among herds and control actions described as pulse interventions are also easily implemented. We show that individual-based modelling reproduces the mean field behaviour of an equivalent compartmental model. Details of this process, as well as flowcharts, are provided to facilitate the reproduction of the presented results. We further investigate three numerical examples using real parameters of herds in the São Paulo state of Brazil, in scenarios which explore eradication, continuous and pulsed vaccination and meta-population effects. The obtained results are in good agreement with the expected behaviour of this disease, which ultimately showcases the effectiveness of our theory. |
topic |
bovine brucellosis individual-based model mathematical epidemiology |
url |
https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180200 |
work_keys_str_mv |
AT eriveltongnepomuceno individualbasedmodellingandcontrolofbovinebrucellosis AT alipiombarbosa individualbasedmodellingandcontrolofbovinebrucellosis AT marcosxsilva individualbasedmodellingandcontrolofbovinebrucellosis AT matjazperc individualbasedmodellingandcontrolofbovinebrucellosis |
_version_ |
1724459722183016448 |