About: Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method

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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	Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method
Creator	Ospina, Juan Afuwape, Anthony Doracelly, Hincapié Gómez, Ruben
Source	PMC
abstract	Epidemic thresholds were deduced and simulated from SIR models of Susceptible – Infected – Recovered individuals, through local stability analysis of the disease free and endemic equilibrium, with an algorithmic method. One and two types of infected individuals were modeled, considering the influence of sub clinical, undiagnosed or unrecognized infected cases in disease transmission.
has issue date	2008-01-01(xsd:dateTime)
bibo:doi	10.1007/978-3-540-89746-0_12
has license	no-cc
sha1sum (hex)	1d2e04d15304accaff742faad8daf1402fc8cd51
schema:url	https://doi.org/10.1007/978-3-540-89746-0_12
resource representing a document's title	Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method
has PubMed Central identifier	PMC7120305
schema:publication	Biosurveillance and Biosecurity
resource representing a document's body	covid:1d2e04d15304accaff742faad8daf1402fc8cd51#body_text
is schema:about of	named entity 'EPIDEMIC' named entity 'INFLUENCE' named entity 'UNRECOGNIZED' named entity 'modeled' named entity 'models' named entity 'disease' named entity 'Models' named entity 'disease transmission' named entity 'endemic' named entity 'infection' named entity 'algorithm' named entity 'epidemic' named entity 'immunization' named entity 'algebraic geometry' named entity 'epidemiology' named entity 'basic reproductive rate' named entity 'virus' named entity 'vaccination' named entity 'epidemic' named entity 'host population' named entity 'rubella' named entity 'influenza' named entity 'epidemic' named entity 'Caribbean' named entity 'Immunization' named entity 'grow exponentially' named entity 'infection rate' named entity 'commutative algebra' named entity 'epidemic' named entity 'sub-clinical' named entity 'rubella' named entity 'infection' named entity 'infection' named entity 'disease-free' named entity 'epidemic' named entity 'endemic equilibrium' named entity 'Immunization' named entity 'SIR model' named entity 'type 2' named entity 'immunization' named entity 'SIR model' named entity 'asymptotically stable' named entity 'differential equations' named entity 'polio' named entity 'symbolic computation' named entity 'newborn children' named entity 'grows exponentially' named entity 'algorithm' named entity 'epidemic' named entity 'endemic' named entity 'grows exponentially' named entity 'epidemic' named entity 'decays exponentially' named entity 'subclinical' named entity 'algorithm' named entity 'numerical simulation' named entity 'basic reproductive rate' named entity 'immunization' named entity 'numerical simulation' named entity 'disease-free' named entity 'SIR models' named entity 'evolution' named entity 'equilibrium point' named entity 'infectivity' named entity 'epidemics' named entity 'infection rate' named entity 'rubella' named entity 'endemic equilibrium' named entity 'Latin America' named entity 'algorithm' named entity 'locally stable' named entity 'endemic equilibrium' named entity 'numerical simulation' named entity 'subclinical' named entity 'infection rate' named entity 'asymptomatic' named entity 'epidemic' named entity 'endemic' named entity 'epidemic' named entity 'sanitation'

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