About: Evaluating Subcriticality during the Ebola Epidemic in West Africa

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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	Evaluating Subcriticality during the Ebola Epidemic in West Africa
Creator	Ackley, Sarah Deiner, Michael Gao, Daozhou Ip, Wui Liu, Fengchen Mwebaze, Ernest Scott, James Worden, Lee Enanoria, Wayne Lietman, Thomas Porco, Travis
Source	PMC
abstract	The 2014–2015 Ebola outbreak is the largest and most widespread to date. In order to estimate ongoing transmission in the affected countries, we estimated the weekly average number of secondary cases caused by one individual infected with Ebola throughout the infectious period for each affected West African country using a stochastic hidden Markov model fitted to case data from the World Health Organization. If the average number of infections caused by one Ebola infection is less than 1.0, the epidemic is subcritical and cannot sustain itself. The epidemics in Liberia and Sierra Leone have approached subcriticality at some point during the epidemic; the epidemic in Guinea is ongoing with no evidence that it is subcritical. Response efforts to control the epidemic should continue in order to eliminate Ebola cases in West Africa.
has issue date	2015-10-20(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0140651
bibo:pmid	26484544
has license	cc-by
sha1sum (hex)	cd67f336a7356dd88e971d3541829bdc290257f4
schema:url	https://doi.org/10.1371/journal.pone.0140651
resource representing a document's title	Evaluating Subcriticality during the Ebola Epidemic in West Africa
has PubMed Central identifier	PMC4618845
has PubMed identifier	26484544
schema:publication	PLoS One
resource representing a document's body	covid:cd67f336a7356dd88e971d3541829bdc290257f4#body_text
is schema:about of	named entity 'sustain' named entity 'Ebola' named entity 'number' named entity 'quantiles' named entity 'outbreak' named entity 'quantiles' named entity 'West Africa' named entity 'WEST AFRICA' covid:arg/cd67f336a7356dd88e971d3541829bdc290257f4 named entity 'CONTINUE' named entity '975' named entity 'DATA' named entity 'POINT' named entity 'WEST AFRICAN COUNTRY' named entity 'BLACK' named entity 'RESPONSE' named entity 'FIG' named entity 'AFFECTED' named entity 'HIDDEN MARKOV MODEL' named entity 'LIBERIA' named entity 'TO CONTROL' named entity 'INFECTED' named entity 'ESTIMATE' named entity 'DID' named entity 'USING' named entity '10%' named entity 'ANALYZED' named entity 'WEEKLY' named entity '0.25' named entity 'DAY' named entity '0.75' named entity 'TIME' named entity 'LINE' named entity 'CALENDAR' named entity 'REPRODUCTION NUMBER' named entity 'WEEKS' named entity 'DISPLAYED' named entity 'STOCHASTIC' named entity 'EPIDEMIC' named entity 'AVERAGE' named entity 'INFECTIONS' named entity 'INDIVIDUAL' named entity 'INFECTION' named entity 'INFECTIOUS PERIOD' named entity 'GUINEA' named entity 'REPORTED' named entity 'INCLUDE' named entity 'WIDESPREAD' named entity 'EVALUATING' named entity 'EBOLA' named entity 'SUSTAIN' named entity 'TRANSMISSION' named entity 'LESS THAN' named entity 'SECONDARY' named entity 'HAVE' named entity 'HORIZONTAL LINE' named entity 'THRESHOLD' named entity 'ENDING' named entity 'WEST AFRICA' named entity '90%' named entity 'ESTIMATED' named entity 'JUNE' named entity 'OUTBREAK' named entity 'WORLD HEALTH ORGANIZATION' named entity '0.025' named entity 'ONGOING' named entity 'COUNTRIES' named entity 'EVIDENCE' named entity 'CAUSED BY' named entity 'ORDER' named entity 'SITUATION'

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