- Title
- Agent-Based Modeling and Simulation for Transmission Dynamics and Surveillance of Dengue: Conceptual and Design Model
- Creator
- Pascoe, Luba, Nyambo, Devotha G, Bradshaw, Karen L, Clemen, Thomas
- Subject
- To be catalogued
- Date
- 2023
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/440200
- Identifier
- vital:73756
- Identifier
- xlink:href="https://doi.org/10.1109/AFRICON55910.2023.10293299"
- Description
- African countries need to strengthen surveillance and control of arboviral diseases such as dengue due to increased outbreaks and spread of arboviruses. Climatic, socio-environment, and ecological variables influence the spread of dengue fever in Sub-Saharan Africa. This paper presents an Agent-Based conceptual and design model for dengue fever developed using the Multi-Agent Research and Simulation (MARS) framework. The study analyzes dengue fever's spatial distribution and identifies the causal relationship between the disease and its climatic and environmental variables. Agent-based modeling (ABM) was used to comprehend the spatial patterns of variation to determine the ecological association between the observed spatio-temporal variations in dengue fever. The domain and design model of an ABM for the surveillance of dengue fever is presented based on the Overview, Design Concepts, and Details (ODD) protocol. Model input parameters and input data for the study area are also presented. The dengue ABM can be adopted and reused for modeling other diseases and other complex problems from different domains while ensuring that their unique characteristics and appropriate modifications are considered to ensure the model's validity and relevance to the new context.
- Format
- computer, online resource, application/pdf, 1 online resource (6 pages), pdf
- Publisher
- IEEE
- Language
- English
- Relation
- IEEE AFRICON, L. Pascoe, D. G. Nyambo, K. Bradshaw and T. Clemen, "Agent-Based Modeling and Simulation for Transmission Dynamics and Surveillance of Dengue: Conceptual and Design Model," 2023 IEEE AFRICON, Nairobi, Kenya, 2023, pp. 1-6, IEEE AFRICON p. 1 2023
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the IEEE Xplore digital library terms of use (https://ieeexplore.ieee.org/Xplorehelp/overview-of-ieee-xplore/terms-of-use)
- Rights
- Closed Access
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- Visitors: 9
- Downloads: 2
Collections
Bradshaw, Karen Lee (Assoc Prof)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details | SOURCE1 | Agent-Based Modeling and Simulation for Transmission Dynamics and Surveillance of Dengue Conceptual and Design Model.pdf | 730 KB | Adobe Acrobat PDF | View Details |