About: Pulse vaccination of an epidemic model with two parallel infectious stages and time delays

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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	Pulse vaccination of an epidemic model with two parallel infectious stages and time delays
Creator	Min, Zhong Shujing, Gao Shuping, Li Yongzhen, Pei
Source	Elsevier; Medline; PMC
abstract	Abstract An epidemic model with two parallel infectious stages and time delays and pulse vaccination is proposed. We introduce four thresholds and further obtain the conditions that the disease will be extinct or not. Corollaries show that under condition that θ > max { θ ∗ 1 , θ ∗ 2 } the disease will fade out, and if θ < min { θ 1 ∗ , θ 2 ∗ } , the disease will be endemic. Our results indicate that a larger pulse vaccination rate will lead to the eradication of a disease. Furthermore, two thresholds ℜ ∗ 1 and ℜ ∗ 2 show that the diversity of the contagiousness affects the basic properties of these models. In addition, numerical results indicate that the probability for an infected individual to enter different infective compartments greatly affects two infective compartments.
has issue date	2017-12-31(xsd:dateTime)
bibo:doi	10.1016/j.matcom.2017.04.005
bibo:pmid	32288110
has license	els-covid
sha1sum (hex)	5ab5348a892519dc2274322f3dc9900e40f1113e
schema:url	https://doi.org/10.1016/j.matcom.2017.04.005
resource representing a document's title	Pulse vaccination of an epidemic model with two parallel infectious stages and time delays
has PubMed Central identifier	PMC7127426
has PubMed identifier	32288110
schema:publication	Mathematics and Computers in Simulation
resource representing a document's body	covid:5ab5348a892519dc2274322f3dc9900e40f1113e#body_text
is schema:about of	named entity 'introduce' named entity 'delays' named entity 'models' named entity 'infected' named entity 'INFECTIOUS' named entity 'PULSE' named entity 'INFECTIOUS' named entity 'EXTINCT' named entity 'CONDITIONS' named entity 'INFECTED' named entity 'PROPERTIES' named entity 'ENDEMIC' named entity 'CONTAGIOUSNESS' named entity 'DISEASE' named entity 'PARALLEL' named entity 'DIVERSITY' named entity 'STAGES' named entity 'PROPOSED' named entity 'RATE' named entity 'ENTER' named entity 'VACCINATION' named entity 'GREATLY' named entity 'OUR' named entity 'OBTAIN' named entity 'LEAD' named entity 'PARALLEL' named entity 'VACCINATION' named entity 'STAGES' named entity 'THESE' named entity 'DIFFERENT' named entity 'ERADICATION' named entity 'TIME' named entity 'MIN' named entity 'MAX' named entity 'RESULTS' named entity 'ADDITION' named entity 'CONDITION' named entity 'EPIDEMIC MODEL' named entity 'EPIDEMIC MODEL' named entity 'TIME' named entity 'PROBABILITY' named entity 'THRESHOLDS' named entity 'INTRODUCE' named entity 'INDIVIDUAL' named entity 'PULSE' named entity 'FADE' named entity 'BASIC' named entity 'MODELS' named entity 'NUMERICAL' named entity 'COMPARTMENTS' named entity 'LARGER' covid:arg/5ab5348a892519dc2274322f3dc9900e40f1113e named entity 'min' named entity 'rate' named entity 'max' named entity 'basic properties' named entity 'disease-free' named entity 'avian flu' named entity 'infectious disease' named entity 'time series' named entity 'vaccination' named entity 'disease-free' named entity '2.1' named entity 'periodic solution' named entity 'epidemic' named entity 'viruses' named entity 'disease-free' named entity 'infection' named entity 'periodic solution' named entity 'stroboscopic map' named entity 'infection' named entity 'viruses' named entity 'initial condition' named entity 'globally asymptotically stable' named entity 'closed set' named entity 'time series' named entity 'Infectious diseases' named entity 'periodic solution'

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