Identification of a One Health Intervention for Brucellosis in Jordan Using System Dynamics Modelling Article Swipe
Haitham Taha
,
Carl Smith
,
Jo Durham
,
Simon Reid
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/systems11110542
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/systems11110542
Brucellosis occurs because of a complex multisector system involving the interplay between animal production and human behavior. A better understanding of transmission dynamics helps pinpoint the most effective interventions to reduce human and animal cases. Modeling methodologies have not been applied extensively to brucellosis. This study applies system dynamics modeling to identify the interplay between the different sectors that drive disease transmission and identify One Health interventions to control brucellosis. The study applies a quantitative system dynamics modeling methodology based on a qualitative in-depth analysis of the Brucella transmission system in Jordan. The data are analyzed manually to establish causal pathways to develop a stock and flow (SF) model. The structure is examined and reviewed by key informants. Several intervention scenarios to control Brucella transmission is assessed. Brucella transmission among sheep and between farms and markets are the main drivers of human incidence. Farmers’ visits to veterinary clinics are a critical intervention point for control associated with access to vaccination. The vaccination of sheep and health education activities alone might not be an effective strategy. Testing and culling sheep is the most efficient individual control strategy for animal incidence and a combination of public and animal health strategies (One Health) is the most effective strategy to reduce human incidence. The synthesis of current knowledge through the system dynamics model enables better understanding, visualization, and interpretation of the sectors involved in Brucella transmission. There is a strong synergy between sectors; therefore, greater control might be provided by utilizing multi-sectoral relationships embedded in the system.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/systems11110542
- https://www.mdpi.com/2079-8954/11/11/542/pdf?version=1699274172
- OA Status
- gold
- Cited By
- 4
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388408336
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388408336Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/systems11110542Digital Object Identifier
- Title
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Identification of a One Health Intervention for Brucellosis in Jordan Using System Dynamics ModellingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-11-06Full publication date if available
- Authors
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Haitham Taha, Carl Smith, Jo Durham, Simon ReidList of authors in order
- Landing page
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https://doi.org/10.3390/systems11110542Publisher landing page
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https://www.mdpi.com/2079-8954/11/11/542/pdf?version=1699274172Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-8954/11/11/542/pdf?version=1699274172Direct OA link when available
- Concepts
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Psychological intervention, Brucellosis, Culling, System dynamics, Transmission (telecommunications), One Health, Environmental health, Computer science, Medicine, Public health, Risk analysis (engineering), Veterinary medicine, Artificial intelligence, Telecommunications, Nursing, HerdTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
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2025: 2, 2024: 2Per-year citation counts (last 5 years)
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49Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| primary_location.landing_page_url | https://doi.org/10.3390/systems11110542 |
| publication_date | 2023-11-06 |
| publication_year | 2023 |
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