About: Modeling Heterogeneity in Direct Infectious Disease Transmission in a Compartmental Model

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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	Modeling Heterogeneity in Direct Infectious Disease Transmission in a Compartmental Model
Creator	Wang, Jinfeng Cao, Zhidong Han, Weiguo Kong, Lingcai
Source	Medline; PMC
abstract	Mathematical models have been used to understand the transmission dynamics of infectious diseases and to assess the impact of intervention strategies. Traditional mathematical models usually assume a homogeneous mixing in the population, which is rarely the case in reality. Here, we construct a new transmission function by using as the probability density function a negative binomial distribution, and we develop a compartmental model using it to model the heterogeneity of contact rates in the population. We explore the transmission dynamics of the developed model using numerical simulations with different parameter settings, which characterize different levels of heterogeneity. The results show that when the reproductive number, [Formula: see text] , is larger than one, a low level of heterogeneity results in dynamics similar to those predicted by the homogeneous mixing model. As the level of heterogeneity increases, the dynamics become more different. As a test case, we calibrated the model with the case incidence data for severe acute respiratory syndrome (SARS) in Beijing in 2003, and the estimated parameters demonstrated the effectiveness of the control measures taken during that period.
has issue date	2016-02-24(xsd:dateTime)
bibo:doi	10.3390/ijerph13030253
bibo:pmid	26927140
has license	cc-by
sha1sum (hex)	96464179873570564cc07be6219abb043caad44a
schema:url	https://doi.org/10.3390/ijerph13030253
resource representing a document's title	Modeling Heterogeneity in Direct Infectious Disease Transmission in a Compartmental Model
has PubMed Central identifier	PMC4808916
has PubMed identifier	26927140
schema:publication	Int J Environ Res Public Health
resource representing a document's body	covid:96464179873570564cc07be6219abb043caad44a#body_text
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