About: Analyzing the Spatial Distribution of Acute Coronary Syndrome Cases Using Synthesized Data on Arterial Hypertension Prevalence

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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	Analyzing the Spatial Distribution of Acute Coronary Syndrome Cases Using Synthesized Data on Arterial Hypertension Prevalence
Creator	Leonenko, Vasiliy
Source	PMC
abstract	In the current study, the authors demonstrate the method aimed at analyzing the distribution of acute coronary syndrome (ACS) cases in Saint Petersburg. The employed approach utilizes a synthetic population of Saint Petersburg and a statistical model for arterial hypertension prevalence. The number of ACS–related emergency services calls in an area is matched with the population density and the prospected number of individuals with arterial hypertension, which makes it possible to find locations with excessive ACS incidence. Three categories of locations, depending on the joint distribution of the above-mentioned indicators, are proposed as a result of data analysis. The method is implemented in Python programming language, the visualization is made using QGIS open software. The proposed method can be used to assess the prevalence of certain health conditions in the population and to match them with the corresponding severe health outcomes.
has issue date	2020-05-23(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50423-6_36
has license	no-cc
sha1sum (hex)	1d328af6559b5f8318319ec2cedcf5ea4fa911b1
schema:url	https://doi.org/10.1007/978-3-030-50423-6_36
resource representing a document's title	Analyzing the Spatial Distribution of Acute Coronary Syndrome Cases Using Synthesized Data on Arterial Hypertension Prevalence
has PubMed Central identifier	PMC7303705
schema:publication	Computational Science - ICCS 2020
resource representing a document's body	covid:1d328af6559b5f8318319ec2cedcf5ea4fa911b1#body_text
is schema:about of	named entity 'Three' named entity 'joint' named entity 'INDIVIDUALS' named entity 'SAINT PETERSBURG' named entity 'PYTHON' named entity 'MATCH' named entity 'HEALTH CONDITIONS' named entity 'PROPOSED METHOD' named entity 'CERTAIN' named entity 'conditions' named entity 'locations' named entity 'area' named entity 'Saint Petersburg' named entity 'number' named entity 'Coronary' named entity 'Syndrome' named entity 'open software' named entity 'data analysis' named entity 'ACS' named entity 'Spatial Distribution' named entity 'programming language' named entity 'health' named entity 'probability' named entity 'Gazprom Arena' named entity 'Python' named entity 'population density' named entity 'ACS' named entity 'statistical models' named entity 'ACS' named entity 'Yandex' named entity 'Monte Carlo algorithm' named entity 'Saint Petersburg' named entity 'acute coronary syndromes' named entity 'ACS' named entity 'database' named entity 'statistical model' named entity 'Kolpino' named entity 'elevated blood pressure' named entity 'urban area' named entity 'cumulative distribution function' named entity 'histogram' named entity 'probability' named entity 'opioid' named entity 'arterial hypertension' named entity 'opioid drug users' named entity 'absolute number' named entity 'orders of magnitude' named entity 'statistical model' named entity 'arterial hypertension' named entity 'higher concentration' named entity 'trolleybus' named entity 'Izhora factory' named entity 'time series' named entity 'cell size' named entity 'data sets' named entity 'risk factors' named entity 'histograms' named entity 'arterial hypertension' named entity 'database' named entity 'arterial hypertension' named entity 'data set' named entity 'matplotlib' named entity 'ACS' named entity 'population density' named entity 'population density' named entity 'heatmap' named entity 'numpy' named entity 'probability' named entity 'arterial hypertension' named entity 'acute coronary syndrome' named entity 'ACS' named entity 'histogram' named entity 'overdose' named entity 'divide by zero error' named entity 'acute coronary syndrome' named entity 'statistically significant' named entity 'single cells' named entity 'emergency medical service' named entity 'acute coronary syndrome' named entity 'Saint Petersburg' named entity 'drug usage' named entity 'natural language processing' named entity 'probability'

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