About: Modeling the impact of quarantine during an outbreak of Ebola virus disease

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About: Modeling the impact of quarantine during an outbreak of Ebola virus disease 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	Modeling the impact of quarantine during an outbreak of Ebola virus disease
Creator	Enes, Attila Gumel, Abba
Source	PMC
abstract	The quarantine of people suspected of being exposed to an infectious agent is one of the most basic public health measure that has historically been used to combat the spread of communicable diseases in human communities. This study presents a new deterministic model for assessing the population-level impact of the quarantine of individuals suspected of being exposed to disease on the spread of the 2014–2015 outbreaks of Ebola viral disease. It is assumed that quarantine is imperfect (i.e., individuals can acquire infection during quarantine). In the absence of quarantine, the model is shown to exhibit global dynamics with respect to the disease-free and its unique endemic equilibrium when a certain epidemiological threshold (denoted by [Formula: see text]) is either less than or greater than unity. Thus, unlike the full model with imperfect quarantine (which is known to exhibit the phenomenon of backward bifurcation), the version of the model with no quarantine does not undergo a backward bifurcation. Using data relevant to the 2014–2015 Ebola transmission dynamics in the three West African countries (Guinea, Liberia and Sierra Leone), uncertainty analysis of the model show that, although the current level and effectiveness of quarantine can lead to significant reduction in disease burden, they fail to bring the associated quarantine reproduction number ([Formula: see text]) to a value less than unity (which is needed to make effective disease control or elimination feasible). This reduction of [Formula: see text] is, however, very possible with a modest increase in quarantine rate and effectiveness. It is further shown, via sensitivity analysis, that the parameters related to the effectiveness of quarantine (namely the parameter associated with the reduction in infectiousness of infected quarantined individuals and the contact rate during quarantine) are the main drivers of the disease transmission dynamics. Overall, this study shows that the singular implementation of a quarantine intervention strategy can lead to the effective control or elimination of Ebola viral disease in a community if its coverage and effectiveness levels are high enough.
has issue date	2019-02-05(xsd:dateTime)
bibo:doi	10.1016/j.idm.2019.01.003
bibo:pmid	30828672
has license	cc-by-nc-nd
sha1sum (hex)	ab9abbe85c17fc97b9b10fefa729dae44c12c65d
schema:url	https://doi.org/10.1016/j.idm.2019.01.003
resource representing a document's title	Modeling the impact of quarantine during an outbreak of Ebola virus disease
has PubMed Central identifier	PMC6382747
has PubMed identifier	30828672
schema:publication	Infect Dis Model
resource representing a document's body	covid:ab9abbe85c17fc97b9b10fefa729dae44c12c65d#body_text
is schema:about of	named entity 'LEAD' named entity 'DATA' named entity 'GLOBAL' named entity 'CONTACT' named entity 'EBOLA' named entity 'NEEDED' named entity 'UNITY' named entity 'REPRODUCTION NUMBER' named entity 'LIBERIA' named entity 'RELEVANT' named entity 'BURDEN' named entity 'ENOUGH' named entity 'ENDEMIC' named entity 'LESS THAN' named entity 'PHENOMENON' named entity 'ASSUMED' named entity 'KNOWN' named entity 'DISEASE' named entity 'ACQUIRE' named entity 'IMPLEMENTATION' named entity 'WEST AFRICAN' named entity 'EPIDEMIOLOGICAL' named entity 'BEING' named entity 'ASSOCIATED' named entity 'PRESENTS' named entity 'MAIN' named entity 'BACKWARD' named entity 'COUNTRIES' named entity 'CERTAIN' named entity 'COVERAGE' named entity 'STRATEGY' named entity 'INCREASE' named entity 'RATE' named entity 'MEASURE' named entity 'DYNAMICS' named entity 'THRESHOLD' named entity 'denoted' named entity 'human' named entity 'This' named entity 'basic' named entity 'transmission' named entity 'fail' named entity 'quarantine' named entity 'model' named entity 'licenses' named entity 'EXPOSED TO' named entity 'OUTBREAKS' named entity '28I' named entity 'ABSENCE OF' named entity 'SINGULAR' named entity 'MODEL' named entity 'BASIC' named entity 'USING' named entity 'SPREAD' named entity 'POSSIBLE' named entity 'BIFURCATION' named entity 'COMMUNITY' named entity 'DOES NOT' named entity 'INFECTIOUSNESS' named entity 'PEOPLE' named entity 'DISEASE TRANSMISSION' named entity 'ONE OF' named entity 'INDIVIDUALS' named entity 'STUDY' named entity 'PUBLIC HEALTH' named entity 'COMMUNICABLE DISEASES' named entity 'LICENSE' named entity 'EBOLA VIRUS DISEASE' named entity 'QUARANTINE' named entity 'NC-' named entity 'ORG' named entity 'SIERRA LEONE' named entity 'USED' named entity 'HIGH' named entity 'ASSESSING' named entity 'SUSPECTED' named entity 'POPULATION' named entity 'COMMUNITIES' named entity 'VERSION' named entity 'INFECTIOUS AGENT'

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