ArticleInternational journal of environmental research and public health2018
Agent-Based Modeling for Super-Spreading Events: A Case Study of MERS-CoV Transmission Dynamics in the Republic of Korea.
Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- COVID-19 transmission dynamics: age-specific patterns and super spreaders in South Korea.BMC public health · 2026Article
- Stochastic modeling of intra- and inter-hospital transmission in Middle East respiratory syndrome outbreak.PloS one · 2025Article
- A Managerial Approach towards Modeling the Different Strains of the COVID-19 Virus Based on the Spatial GeoCity Model.Viruses · 2023Article
- Positive feedback loops exacerbate the influence of superspreaders in disease transmission.iScience · 2023Article
- Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan.Scientific reports · 2023Article
- Characterization of superspreaders movement in a bidirectional corridor using a social force model.Frontiers in public health · 2023Article
- Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2.PLoS computational biology · 2022Article
- Regional opening strategies with commuter testing and containment of new SARS-CoV-2 variants in Germany.BMC infectious diseases · 2022Article
- Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection.PloS one · 2022Article
- Assessment of effective mitigation and prediction of the spread of SARS-CoV-2 in Germany using demographic information and spatial resolution.Mathematical biosciences · 2021Article
- A chemical engineer's take of COVID-19 epidemiology.AIChE journal. American Institute of Chemical Engineers · 2021Article
- Unfixed Movement Route Model, Non-Overcrowding and Social Distancing Reduce the Spread of COVID-19 in Sporting Facilities.International journal of environmental research and public health · 2021Article
- Time-dependent heterogeneity leads to transient suppression of the COVID-19 epidemic, not herd immunity.Proceedings of the National Academy of Sciences of the United States of America · 2021Review
- Effectiveness of Intervention Strategies on MERS-CoV Transmission Dynamics in South Korea, 2015: Simulations on the Network Based on the Real-World Contact Data.International journal of environmental research and public health · 2021Article
- Inefficiency of SIR models in forecasting COVID-19 epidemic: a case study of Isfahan.Scientific reports · 2021Article
- Are environmental pollution and biodiversity levels associated to the spread and mortality of COVID-19? A four-month global analysis.Environmental pollution (Barking, Essex : 1987) · 2021Article
- Optimizing planning and design of COVID-19 drive-through mass vaccination clinics by simulation.Health and technology · 2021Article
- Impact of mobility restriction in COVID-19 superspreading events using agent-based model.PloS one · 2021Article
- Cost-Effectiveness of Public Health Measures to Control COVID-19 in China: A Microsimulation Modeling Study.Frontiers in public health · 2021Article
- Assessing the Effectiveness of Isolation and Contact-Tracing Interventions for Early Transmission Dynamics of COVID-19 in South Korea.IEEE access : practical innovations, open solutions · 2021Article
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3 authors.
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Abstract
Super-spreading events have been observed in the transmission dynamics of many infectious diseases. The 2015 MERS-CoV outbreak in the Republic of Korea has also shown super-spreading events with a significantly high level of heterogeneity in generating secondary cases. It becomes critical to understand the mechanism for this high level of heterogeneity to develop effective intervention strategies and preventive plans for future emerging infectious diseases. In this regard, agent-based modeling is a useful tool for incorporating individual heterogeneity into the epidemic model. In the present work, a stochastic agent-based framework is developed in order to understand the underlying mechanism of heterogeneity. Clinical (i.e., an infectivity level) and social or environmental (i.e., a contact level) heterogeneity are modeled. These factors are incorporated in the transmission rate functions under assumptions that super-spreaders have stronger transmission and/or higher links. Our agent-based model has employed real MERS-CoV epidemic features based on the 2015 MERS-CoV epidemiological data. Monte Carlo simulations are carried out under various epidemic scenarios. Our findings highlight the roles of super-spreaders in a high level of heterogeneity, underscoring that the number of contacts combined with a higher level of infectivity are the most critical factors for substantial heterogeneity in generating secondary cases of the 2015 MERS-CoV transmission.
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