SIM-D: An Agent-Based Simulator for Modeling Contagion in Population
The spread of infectious diseases such as COVID-19, flu influenza, malaria, dengue, mumps, and rubella in a population is a big threat to public health. The infectious diseases spread from one person to another person through close contact. Without proper planning, an infectious disease can become a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/21/7745 |
| _version_ | 1827703031819403264 |
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| author | Muhammad Waleed Tai-Won Um Tariq Kamal Aftab Khan Zaka Ullah Zahid |
| author_facet | Muhammad Waleed Tai-Won Um Tariq Kamal Aftab Khan Zaka Ullah Zahid |
| author_sort | Muhammad Waleed |
| collection | DOAJ |
| description | The spread of infectious diseases such as COVID-19, flu influenza, malaria, dengue, mumps, and rubella in a population is a big threat to public health. The infectious diseases spread from one person to another person through close contact. Without proper planning, an infectious disease can become an epidemic and can result in large human and financial losses. To better respond to the spread of infectious disease and take measures for its control, the public health authorities need models and simulations to study the spread of such diseases. In this paper, an agent-based simulation engine is presented that models the spread of infectious diseases in the population. The simulation takes as an input the human-to-human interactions, population dynamics, disease transmissibility and disease states and shows the spread of disease over time. The simulation engine supports non-pharmaceutical interventions and shows its impact on the disease spread across locations. A unique feature of this tool is that it is generic; therefore, it can simulate a wide variety of infectious disease models (SIR), susceptible-infectious-susceptible (SIS) and susceptible-infectious (SI). The proposed simulation engine will help the policy-makers and public health authorities study the behavior of disease spreading; thus, allowing for better planning. |
| first_indexed | 2024-03-10T15:08:46Z |
| format | Article |
| id | doaj.art-283a5e5c79874b2db7de13f49881fd5e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T15:08:46Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-283a5e5c79874b2db7de13f49881fd5e2023-11-20T19:28:52ZengMDPI AGApplied Sciences2076-34172020-11-011021774510.3390/app10217745SIM-D: An Agent-Based Simulator for Modeling Contagion in PopulationMuhammad Waleed0Tai-Won Um1Tariq Kamal2Aftab Khan3Zaka Ullah Zahid4Department of Information and Communication Engineering, Chosun University, Gwangju 61452, KoreaCollege of Science and Technology, Duksung Women’s University, Seoul 01369, KoreaDepartment of Computer Systems Engineering, University of Engineering and Technology (UET), Peshawar 25120, PakistanDepartment of Computer Systems Engineering, University of Engineering and Technology (UET), Peshawar 25120, PakistanDepartment of Electrical Engineering, Jalozai, University of Engineering and Technology (UET), Peshawar 25120, PakistanThe spread of infectious diseases such as COVID-19, flu influenza, malaria, dengue, mumps, and rubella in a population is a big threat to public health. The infectious diseases spread from one person to another person through close contact. Without proper planning, an infectious disease can become an epidemic and can result in large human and financial losses. To better respond to the spread of infectious disease and take measures for its control, the public health authorities need models and simulations to study the spread of such diseases. In this paper, an agent-based simulation engine is presented that models the spread of infectious diseases in the population. The simulation takes as an input the human-to-human interactions, population dynamics, disease transmissibility and disease states and shows the spread of disease over time. The simulation engine supports non-pharmaceutical interventions and shows its impact on the disease spread across locations. A unique feature of this tool is that it is generic; therefore, it can simulate a wide variety of infectious disease models (SIR), susceptible-infectious-susceptible (SIS) and susceptible-infectious (SI). The proposed simulation engine will help the policy-makers and public health authorities study the behavior of disease spreading; thus, allowing for better planning.https://www.mdpi.com/2076-3417/10/21/7745computational epidemiologymodeling and simulationagent-based approach |
| spellingShingle | Muhammad Waleed Tai-Won Um Tariq Kamal Aftab Khan Zaka Ullah Zahid SIM-D: An Agent-Based Simulator for Modeling Contagion in Population Applied Sciences computational epidemiology modeling and simulation agent-based approach |
| title | SIM-D: An Agent-Based Simulator for Modeling Contagion in Population |
| title_full | SIM-D: An Agent-Based Simulator for Modeling Contagion in Population |
| title_fullStr | SIM-D: An Agent-Based Simulator for Modeling Contagion in Population |
| title_full_unstemmed | SIM-D: An Agent-Based Simulator for Modeling Contagion in Population |
| title_short | SIM-D: An Agent-Based Simulator for Modeling Contagion in Population |
| title_sort | sim d an agent based simulator for modeling contagion in population |
| topic | computational epidemiology modeling and simulation agent-based approach |
| url | https://www.mdpi.com/2076-3417/10/21/7745 |
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