About: A compartmental model for the analysis of SARS transmission patterns and outbreak control measures in China

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About: A compartmental model for the analysis of SARS transmission patterns and outbreak control measures in China Goto Sponge NotDistinct Permalink

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	A compartmental model for the analysis of SARS transmission patterns and outbreak control measures in China
Creator	Wu, Jianhong Zhang, Juan Lou, Jie Ma, Zhien
Source	Elsevier; Medline; PMC
abstract	Abstract We propose a compartmental model BloComp(2,7) that mimics the SARS control strategies implemented by the Chinese government after the middle of April 2003: the division of the whole population into two parallel blocks corresponding to the so-called free environment and the isolated environment and the partition of these blocks further into the compartments of susceptible, exposed, infective, possible, diagnosed, removed and the health care workers. We introduce a novel approach to calculate the transfer rate from the free environment to the isolated environment, and we incorporate into the model the fact that many individuals were misdiagnosed as SARS suspected and hence were mistakenly put in the isolated environment due to lack of fast and effective SARS diagnostic tests. We develop some methods for the parameter identification using the daily reported data from the Ministry of Health of China. Simulations based on these parameters agree with the accural data well, thus provide additional validation of the model. We then vary some parameters to assess the effectiveness of different control measures: these new parameters correspond to the situation when the quarantine measures in the free-environment were prematurely relaxed (we thus observe the second outbreak with the maximal number of daily SARS patients much higher than the first outbreak) or when the quarantine time of SARS patients is postponed (we observe delayed peak time but with much higher number of SARS patients at the peak). We also calculate the basic reproductive number and the basic adequate contact rate.
has issue date	2005-03-15(xsd:dateTime)
bibo:doi	10.1016/j.amc.2003.12.131
bibo:pmid	32287493
has license	els-covid
sha1sum (hex)	bcd1b9de8035034c15e37289ffebb68f227d70b2
schema:url	https://doi.org/10.1016/j.amc.2003.12.131
resource representing a document's title	A compartmental model for the analysis of SARS transmission patterns and outbreak control measures in China
has PubMed Central identifier	PMC7134600
has PubMed identifier	32287493
schema:publication	Applied Mathematics and Computation
resource representing a document's body	covid:bcd1b9de8035034c15e37289ffebb68f227d70b2#body_text
is schema:about of	named entity 'environment' named entity 'daily' named entity 'measures' named entity 'SARS' named entity 'MIDDLE' named entity 'COMPARTMENTS' named entity 'NOVEL' named entity 'DELAYED' named entity 'PARALLEL' named entity 'FAST' named entity 'MODEL' named entity 'MIMICS' named entity 'APRIL' named entity 'VALIDATION' named entity 'APPLIED MATHEMATICS' named entity 'ASSESS' named entity 'DIAGNOSTIC TESTS' named entity 'AGREE' named entity 'MEASURES' named entity 'SECOND' named entity 'EFFECTIVENESS' named entity 'PROVIDE' named entity 'QUARANTINE' named entity 'APPROACH' named entity 'PARAMETER IDENTIFICATION' named entity 'CALCULATE' named entity 'POSSIBLE' named entity 'HIGHER' named entity 'IMPLEMENTED' named entity 'STRATEGIES' named entity 'GOVERNMENT' named entity 'WWW' named entity 'MUCH' named entity 'CONTACT' named entity 'OUTBREAK' named entity 'RATE' named entity 'METHODS' named entity 'REPRODUCTIVE' named entity 'DAILY' named entity 'PEAK' named entity 'EXPOSED' named entity 'BLOCKS' named entity 'DATA' named entity 'REPORTED' named entity 'FREE' named entity 'INDIVIDUALS' named entity 'PATIENTS' named entity 'NUMBER' named entity 'FACT' named entity 'ADEQUATE' named entity 'DIVISION' named entity 'DIFFERENT' named entity 'OBSERVE' named entity 'NUMBER OF' named entity 'LACK' named entity '909' named entity 'THE PEAK' named entity 'HEALTH' named entity 'SUSPECTED' named entity 'BASIC' named entity 'USING' named entity 'CHINESE' named entity 'PARTITION' named entity '924' named entity 'DIAGNOSED' named entity 'ISOLATED ENVIRONMENT' named entity 'WORKERS' named entity 'EFFECTIVE' named entity 'COMPARTMENTAL MODEL' named entity 'ANALYSIS' named entity 'PATTERNS' named entity 'TRANSMISSION' named entity 'CHINA' named entity 'MEASURES' named entity 'POPULATION' named entity 'NEW' named entity 'COM' named entity 'BUT'

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