About: Agent-Based Modeling for Super-Spreading Events: A Case Study of MERS-CoV Transmission Dynamics in the Republic of Korea

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About: Agent-Based Modeling for Super-Spreading Events: A Case Study of MERS-CoV Transmission Dynamics in the Republic of Korea Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Agent-Based Modeling for Super-Spreading Events: A Case Study of MERS-CoV Transmission Dynamics in the Republic of Korea
Creator	Kim, Yunhwan Lee, Sunmi Ryu, Hohyung
Source	Medline; PMC
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.
has issue date	2018-10-26(xsd:dateTime)
bibo:doi	10.3390/ijerph15112369
bibo:pmid	30373151
has license	cc-by
sha1sum (hex)	5408b9cea3b1caf9f6cd026140d5414fab4c6e81
schema:url	https://doi.org/10.3390/ijerph15112369
resource representing a document's title	Agent-Based Modeling for Super-Spreading Events: A Case Study of MERS-CoV Transmission Dynamics in the Republic of Korea
has PubMed Central identifier	PMC6265857
has PubMed identifier	30373151
schema:publication	Int J Environ Res Public Health
resource representing a document's body	covid:5408b9cea3b1caf9f6cd026140d5414fab4c6e81#body_text
is schema:about of	named entity 'HIGHER' named entity 'MONTE CARLO SIMULATIONS' named entity 'TOOL' named entity 'PREVENTIVE' named entity 'IS A' named entity 'VARIOUS' named entity 'HIGH LEVEL' named entity 'REPUBLIC OF KOREA' named entity 'EFFECTIVE' named entity 'PRESENT' named entity 'INDIVIDUAL' named entity 'LEVEL' named entity 'EMPLOYED' named entity 'SOCIAL' named entity 'AGENT' named entity 'UNDERLYING' named entity 'BASED' named entity 'USEFUL' named entity 'REPUBLIC OF KOREA' covid:arg/5408b9cea3b1caf9f6cd026140d5414fab4c6e81 named entity 'INFECTIOUS DISEASES' named entity 'DYNAMICS' named entity 'EPIDEMIOLOGICAL' named entity 'OUTBREAK' named entity 'HAVE' named entity 'WORK' named entity 'OBSERVED' named entity 'DATA' named entity 'NUMBER OF' named entity 'MECHANISM' named entity 'TRANSMISSION' named entity 'ORDER' named entity 'GENERATING' named entity 'CRITICAL' named entity 'FEATURES' named entity 'THESE' named entity 'REGARD' named entity 'ENVIRONMENTAL' named entity 'SPREADING' named entity 'SECONDARY' named entity 'UNDERSTAND' named entity 'SIGNIFICANTLY HIGH' named entity 'EMERGING INFECTIOUS DISEASES' named entity 'SPREADING' named entity 'CASE STUDY' named entity 'DYNAMICS' named entity 'SUPER' named entity 'EVENTS' named entity 'INTERVENTION STRATEGIES' named entity 'FUTURE' named entity 'AGENT-BASED MODEL' named entity 'SPREADERS' named entity 'CARRIED' named entity 'FINDINGS' named entity 'INFECTIVITY' named entity 'STOCHASTIC' named entity 'SUPER' named entity 'CASES' named entity 'AGENT-BASED MODELING' named entity 'CLINICAL' named entity 'EVENTS' named entity 'MODELED' named entity 'EPIDEMIC' named entity 'UNDERSCORING' named entity 'AGENT-BASED MODELING' named entity 'SCENARIOS' named entity 'REAL' named entity 'COMBINED' named entity 'CONTACTS' named entity 'HETEROGENEITY' named entity 'RATE' named entity 'ROLES' named entity 'LINKS' named entity 'MERS-COV' named entity 'FUNCTIONS' named entity 'CONTACT' named entity 'EPIDEMIC MODEL' named entity '28I' named entity 'OUR'

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