About: Non-periodic outbreaks of recurrent epidemics and its network modelling

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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	Non-periodic outbreaks of recurrent epidemics and its network modelling
Creator	Zhou, Jie Zou, Yong Zhao, Ming Liu, Zonghua Zheng, Muhua Guan, Shuguang Wang, Chaoqing
Source	Medline; PMC
abstract	The study of recurrent epidemic outbreaks has been attracting great attention for decades, but its underlying mechanism is still under debate. Based on a large number of real data from different cities, we find that besides the seasonal periodic outbreaks of influenza, there are also non-periodic outbreaks, i.e. non-seasonal or non-annual behaviors. To understand how the non-periodicity shows up, we present a network model of SIRS epidemic with both time-dependent infection rate and a small possibility of persistent epidemic seeds, representing the influences from the larger annual variation of environment and the infection generated spontaneously in nature, respectively. Our numerical simulations reveal that the model can reproduce the non-periodic outbreaks of recurrent epidemics with the main features of real influenza data. Further, we find that the recurrent outbreaks of epidemic depend not only on the infection rate but also on the density of susceptible agents, indicating that they are both the necessary conditions for the recurrent epidemic patterns with non-periodicity. A theoretical analysis based on Markov dynamics is presented to explain the numerical results. This finding may be of significance to the control of recurrent epidemics.
has issue date	2015-11-02(xsd:dateTime)
bibo:doi	10.1038/srep16010
bibo:pmid	26521709
has license	cc-by
sha1sum (hex)	243532558bf1aeed5200836620159cf37f91ab26
schema:url	https://doi.org/10.1038/srep16010
resource representing a document's title	Non-periodic outbreaks of recurrent epidemics and its network modelling
has PubMed Central identifier	PMC4629194
has PubMed identifier	26521709
schema:publication	Sci Rep
resource representing a document's body	covid:243532558bf1aeed5200836620159cf37f91ab26#body_text
is schema:about of	named entity 'NON-' named entity 'PERSISTENT' named entity 'ATTENTION' named entity 'MODEL OF' named entity 'FEATURES' named entity 'SEASONAL' named entity 'POSSIBILITY OF' named entity 'CONTROL' named entity 'GENERATED' named entity 'DYNAMICS' named entity 'BASED' named entity 'SIRS' named entity 'ANALYSIS' named entity 'INFECTION RATE' named entity 'PERIODIC' named entity 'NUMBER OF' named entity 'LARGE' named entity 'SUSCEPTIBLE' named entity 'OUTBREAKS' named entity 'NUMERICAL' named entity 'SIGNIFICANCE' named entity 'EPIDEMICS' named entity 'NUMERICAL SIMULATIONS' named entity 'MODEL' named entity 'VARIATION' named entity 'RESULTS' named entity 'MECHANISM' named entity 'ENVIRONMENT' named entity 'ITS' named entity 'DEPENDENT' named entity 'UNDERSTAND' named entity 'OPEN' named entity 'DEBATE' named entity 'NON-SEASONAL' named entity 'HOW' named entity 'SEEDS' named entity 'RECURRENT' covid:arg/243532558bf1aeed5200836620159cf37f91ab26 named entity 'RECURRENT' named entity 'REAL' named entity 'DIFFERENT' named entity 'STUDY' named entity 'PATTERNS' named entity 'SMALL' named entity 'DENSITY' named entity 'INFECTION' named entity 'NETWORK MODELLING' named entity 'EPIDEMICS' named entity 'PERIODIC' named entity 'OUTBREAKS' named entity 'ANNUAL' named entity 'GREAT' named entity 'REPRODUCE' named entity 'INFLUENZA' named entity 'TIME' named entity 'MAIN' named entity 'REVEAL' named entity 'DEPEND' named entity 'PRESENT' named entity 'EPIDEMIC' named entity 'SPONTANEOUSLY' named entity 'OUR' named entity 'NATURE' named entity 'ATTRACTING' named entity 'PERIODICITY' named entity 'DATA' named entity 'BUT' named entity 'THEORETICAL' named entity 'INDICATING' named entity 'NECESSARY' named entity 'BEHAVIORS' named entity 'FINDING' named entity 'UNDERLYING' named entity 'ITS' named entity 'LARGER'

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