About: Investigation of nonlinear epidemiological models for analyzing and controlling the MERS outbreak in Korea

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About: Investigation of nonlinear epidemiological models for analyzing and controlling the MERS outbreak in Korea Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Investigation of nonlinear epidemiological models for analyzing and controlling the MERS outbreak in Korea
Creator	Lee, Eun Ahn, Inkyung Heo, Seongman Ji, Seunghyun Kim, Taehwan Park, Jooyoung Sung, Keehoon Kim, Kyung
topic	covid:a2c4f10b9e13efcf246bca26e5933080a571ba2a#this
Source	Elsevier; Medline; PMC
abstract	Abstract Much concern has arisen regarding serious epidemics due to the Middle East Respiratory Syndrome (MERS) coronavirus. The first MERS case of Korea was reported on 20 May 2015, and since then, the MERS outbreak in Korea has resulted in hundreds of confirmed cases and tens of deaths. Deadly infectious diseases such as MERS have significant direct and indirect social impacts, which include disease-induced mortality and economic losses. Also, a delayed response to the outbreak and underestimating its danger can further aggravate the situation. Hence, an analysis and establishing efficient strategies for preventing the propagation of MERS is a very important and urgent issue. In this paper, we propose a class of nonlinear susceptible-infectious-quarantined (SIQ) models for analyzing and controlling the MERS outbreak in Korea. For the SIQ based ordinary differential equation (ODE) model, we perform the task of parameter estimation, and apply optimal control theory to the controlled SIQ model, with the goal of minimizing the infectious compartment population and the cost of implementing the quarantine and isolation strategies. Simulation results show that the proposed SIQ model can explain the observed data for the confirmed cases and the quarantined cases in the MERS outbreak very well, and the number of the MERS cases can be controlled reasonably well via the optimal control approach.
has issue date	2018-01-21(xsd:dateTime)
bibo:doi	10.1016/j.jtbi.2017.10.004
bibo:pmid	29031518
has license	els-covid
sha1sum (hex)	a2c4f10b9e13efcf246bca26e5933080a571ba2a
schema:url	https://doi.org/10.1016/j.jtbi.2017.10.004
resource representing a document's title	Investigation of nonlinear epidemiological models for analyzing and controlling the MERS outbreak in Korea
has PubMed Central identifier	PMC7094113
has PubMed identifier	29031518
schema:publication	Journal of Theoretical Biology
resource representing a document's body	covid:a2c4f10b9e13efcf246bca26e5933080a571ba2a#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/a2c4f10b9e13efcf246bca26e5933080a571ba2a
is schema:about of	named entity 'OUTBREAK' named entity 'economic' named entity 'Korea' named entity 'MERS' named entity 'losses' named entity 'number' named entity 'Simulation' named entity 'CONTROLLING' named entity 'DANGER' named entity 'EPIDEMICS' named entity 'OUTBREAK' named entity 'A CLASS' named entity 'MODELS' named entity 'DIRECT' named entity 'CONCERN' named entity 'IS A' named entity 'POPULATION' named entity 'SUSCEPTIBLE' named entity 'ISOLATION' named entity 'SIGNIFICANT' named entity 'COMPARTMENT' named entity 'PARAMETER' named entity 'PERFORM' named entity 'DATA' named entity 'ANALYSIS' named entity 'INCLUDE' named entity 'ITS' named entity 'ANALYZING' named entity 'ORDINARY DIFFERENTIAL EQUATION' named entity 'APPROACH' named entity 'BASED' named entity 'EFFICIENT' named entity 'DEATHS' named entity 'RESPONSE TO' named entity 'CASE' named entity '2015' named entity 'GOAL' named entity 'INDIRECT' named entity 'OBSERVED' named entity 'VERY WELL' named entity 'IMPACTS' named entity 'TASK' named entity 'REPORTED' named entity 'CASES' named entity 'INFECTIOUS' named entity 'CONTROL' named entity 'NUMBER OF' named entity 'CONTROLLING' named entity 'PROPAGATION' named entity 'AGGRAVATE' named entity 'HAVE' named entity 'PAPER' named entity 'OPTIMAL' named entity 'SITUATION' named entity 'INDUCED' named entity 'CONTROLLED' named entity 'DUE TO' named entity 'QUARANTINE' named entity 'PREVENTING' named entity 'SIQ' named entity 'SOCIAL' named entity 'COST' named entity 'INVESTIGATION' named entity 'KOREA' named entity 'ANALYZING' named entity 'MODELS' named entity 'NONLINEAR' named entity 'APPLY' named entity 'MORTALITY' named entity 'VERY IMPORTANT' named entity 'MIDDLE EAST RESPIRATORY SYNDROME ' named entity 'DISEASE'

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