| Title: | Individual-based modelling and control of bovine brucellosis |
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| Authors: | ID Nepomuceno, Erivelton G. (Author)
ID Barbosa, Alípio M. (Author)
ID Silva, Marcos X. (Author)
ID Perc, Matjaž (Author) |
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| Files: |  RAZ_Nepomuceno_Erivelton_G._2018.pdf (716,65 KB)
MD5: 1E0CE2A3CCD90F7DC754442DB5DD046D
 http://dx.doi.org/10.1098/rsos.180200
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FNM - Faculty of Natural Sciences and Mathematics
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| Abstract: | 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. |
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| Keywords: | bovine brucellosis, individual-based model, mathematical epidemiology |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 06.02.2018 |
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| Article acceptance date: | 26.03.2018 |
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| Publication date: | 02.05.2018 |
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| Year of publishing: | 2018 |
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| Number of pages: | str. 1-12 |
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| Numbering: | Letn. 5, št. 5 |
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| PID: | 20.500.12556/DKUM-90123  |
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| UDC: | 51-7 |
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| ISSN on article: | 2054-5703 |
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| COBISS.SI-ID: | 24056072 |
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| DOI: | 10.1098/rsos.180200 |
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| Publication date in DKUM: | 26.02.2025 |
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| Views: | 231 |
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| Downloads: | 12 |
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| Metadata: |    |
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| Categories: | Misc.
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