Spatial Agent-Based Simulation Modeling in Public Health

2016 ◽  
Author(s):  
S. M. Niaz Arifin ◽  
Gregory R. Madey ◽  
Frank H. Collins
Keyword(s):  
Public Health ◽  
Simulation Modeling ◽  
Agent Based Simulation ◽  
Agent Based

Business Applications of Social Agent-Based Simulation

2000 ◽  
Vol 03 (01n04) ◽  
pp. 451-461 ◽  
Author(s):  
Eric Bonabeau
Keyword(s):  
Stock Market ◽  
Real World ◽  
Simulation Modeling ◽  
Theme Park ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Social Agent ◽  
Business Applications ◽  
Market Simulation

Agent-based simulation is a powerful simulation modeling technique that has seen a number of applications in the last five years, including applications to real-world business problems. In this chapter I introduce agent-based simulation and review three applications to business problems: a theme park simulation, a stock market simulation, and a bankwide simulation.

Agent-Based Simulation Modeling in Social and Organizational Domains

SIMULATION ◽  
2005 ◽  
Vol 81 (3) ◽  
pp. 173-174 ◽  
Author(s):  
Bruce Edmonds ◽  
Michael Möhring
Keyword(s):  
Simulation Modeling ◽  
Agent Based Simulation ◽  
Agent Based

scholarly journals Genetic incompatibility combined with female-lethality is effective and robust in simulations of Aedes aegypti population control

2018 ◽  
Author(s):  
Maciej Maselko ◽  
Stephen Heinsch ◽  
Siba Das ◽  
Michael J. Smanski
Keyword(s):  
Aedes Aegypti ◽  
Simulation Modeling ◽  
Population Control ◽  
Genetic Resistance ◽  
Effective Strategy ◽  
Agent Based Simulation ◽  
Genetic Incompatibility ◽  
Agent Based ◽  
Gene Drives ◽  
Aegypti Population

Recent reports of CRISPR/Cas9-based suppression gene drives in insects underscore the challenge of overcoming genetic resistance. Here we present results from agent-based simulation modeling of a novel Field-Amplified Male Sterility System (FAMSS) that outperforms suppression gene drives when challenged with genetic resistance. FAMSS combines a recently described synthetic genetic incompatibility approach with previously demonstrated female-lethality constructs. Our results suggest that FAMSS will be an effective strategy for temporally and spatially self-limited suppression of the disease vectoring mosquito, Aedes aegypti.

scholarly journals Relief Aircraft Dispatch Strategies Based on Different Levels of Information Sharing Systems

Aerospace ◽  
2021 ◽  
Vol 8 (10) ◽  
pp. 306
Author(s):  
Qingqi Wang ◽  
Terumitsu Hirata
Keyword(s):  
Dynamic System ◽  
Information Sharing ◽  
Simulation Modeling ◽  
Disaster Relief ◽  
Primary Factor ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Simulation Results ◽  
Aircraft Pilots ◽  
Different Levels

In the wake of a disaster, relief activities are expected to start immediately. To determine a better approach in dispatchment and transportation during relief activities, the primary factor is the communication and information sharing between the various parties such as airports, relief shelters and aircraft pilots. However, the effect of the information-sharing systems on the efficiency of transportation is yet to be clarified, and the differences between transport methods under different information-sharing systems are not yet known. Therefore, in this paper, we proposed different dispatch strategies corresponding to different information sharing levels and utilized the agent-based simulation modeling dynamic system to compare the air relief efficiency of different dispatch strategies. The simulation results demonstrate that the efficiency of relief activities increases as the level of information sharing improves, and different dispatch strategies have an impact on the effect of relief activities.

On the contributions and the validation of an agent-based simulation model of innovation diffusion

2016 ◽  
Vol 50 (3/4) ◽  
pp. 647-657 ◽  
Author(s):  
Mohammad G. Nejad
Keyword(s):  
Simulation Modeling ◽  
Agent Based Modeling ◽  
Test Theory ◽  
Future Research ◽  
Agent Based Simulation ◽  
Content Type ◽  
Agent Based ◽  
Points Of View ◽  
Complex Phenomena ◽  
Specific Paper

Purpose This paper provides an overview of agent-based modeling and simulation (ABMS) and evaluates the questions that have been raised regarding the “assumptions and mechanisms used” by a well-cited paper that has used this methodology. Design/methodology/approach This work provides a review of agent-based simulation modeling and its capabilities to advance and test theory. The commentary then evaluates and addresses the raised questions and reservations. Findings Agent-based modeling offers unique capabilities that can be used to explore complex phenomena in business and marketing. Some of the raised reservations may be considered as directions for future research. However, the criticisms are for most part unsupported by existing research and do not undermine the contributions of the paper that is being discussed. Practical implications Given its relative novelty, reservations regarding agent-based simulation modeling are quite natural. Discussions like this one would bring together different points of view and lead to a better understanding of how using ABMS can benefit academia and industry. Originality/value This commentary is part of an intellectual dialogue that seeks to provide different points of view about agent-based simulation modeling using a specific paper as an example.

scholarly journals Masking significantly reduces, but does not eliminate COVID-19 infection in a spatial agent-based simulation of a University dormitory floor

2021 ◽  
Author(s):  
Roxanne McPeck ◽  
Krisztian Magori
Keyword(s):  
Public Health ◽  
Infectious Agent ◽  
Health Interventions ◽  
Lower Prevalence ◽  
Public Health Interventions ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Airborne Infection ◽  
Significant Difference ◽  
Asymptomatic Infections

COVID-ADAPT is a stochastic, discrete-space, agent-based simulation model of airborne infection and public health interventions, capable of modeling SARS-CoV-2 transmission. Using a map of a real university dormitory floor, the model simulates agents moving about and potentially infecting each other. Health interventions tested are vaccination and masking, including whether the solitary initial infectious agent was masked. Universal masking with N95 masks and 100% vaccination of susceptible people resulted in significantly lower prevalence after 3 weeks compared to all other scenarios, but still led to a substantial number of infections. Increased vaccination levels from 52% to 100% by itself did not result in a significant difference in prevalence due to symptomatic and asymptomatic breakthrough infections. These results suggest that vaccination alone is insufficient to stem outbreaks, and the best way to reduce COVID-19 infections is to ensure that all infectious people are masked. However, because asymptomatic infections are common, the only way to ensure this is universal masking, which also reduces prevalence by protecting susceptible individuals from infection. Universal masking is the best way forward, especially under threat of the Delta variant, to keep facilities open and safe for occupants, while minimizing the number of infections.

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