About: Modelling of Healthcare Associated Infections: A study on the dynamics of pathogen transmission by using an individual-based approach

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About: Modelling of Healthcare Associated Infections: A study on the dynamics of pathogen transmission by using an individual-based approach Goto Sponge NotDistinct Permalink

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	Modelling of Healthcare Associated Infections: A study on the dynamics of pathogen transmission by using an individual-based approach
Creator	Bown, J Crawford, J Eberst, A Milazzo, L Phillips, G
Source	Elsevier; Medline; PMC
abstract	Abstract Prevention and control of Healthcare Associated Infections (HAIs) has become a high priority for most healthcare organizations. Mathematical models can provide insights into the dynamics of nosocomial infections and help to evaluate the effect of infection control measures. The model presented in this paper adopts an individual-based and stochastic approach to investigate MRSA outbreaks in a hospital ward. A computer simulation was implemented to analyze the dynamics of the system associated with the spread of the infection and to carry out studies on space and personnel management. This study suggests that a strict spatial cohorting might be ineffective, if it is not combined with personnel cohorting.
has issue date	2011-11-30(xsd:dateTime)
bibo:doi	10.1016/j.cmpb.2011.02.002
bibo:pmid	21377229
has license	els-covid
sha1sum (hex)	b3fefaf12333cd48df7fc035419d5322978eb326
schema:url	https://doi.org/10.1016/j.cmpb.2011.02.002
resource representing a document's title	Modelling of Healthcare Associated Infections: A study on the dynamics of pathogen transmission by using an individual-based approach
has PubMed Central identifier	PMC7114833
has PubMed identifier	21377229
schema:publication	Computer Methods and Programs in Biomedicine
resource representing a document's body	covid:b3fefaf12333cd48df7fc035419d5322978eb326#body_text
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