About: A Spatial-Temporal Approach to Differentiate Epidemic Risk Patterns

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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	A Spatial-Temporal Approach to Differentiate Epidemic Risk Patterns
Creator	King, Chwan-Chuen Fan, I-Chun Lin, Chun-Min Lin, Neal Su, Ming-Daw Tzai-Hung Wen, Al Wen, T
Source	PMC
abstract	The purpose of disease mapping is to find spatial clustering and identify risk areas and potential epidemic initiators. Rather than relying on plotting either the case number or incidence rate, this chapter proposes three temporal risk indices: the probability of case occurrence (how often did uneven cases occur), the duration of an epidemic (how long did cases persist), and the intensity of a transmission (were the case of chronological significance). By integrating the three indicators using the local indicator of spatial autocorrelation (LISA) statistic, this chapter intends to develop a novel approach for evaluating spatial-temporal relationships with different risk patterns in the 2002 dengue epidemic, the worst outbreak in the past sixty years. With this approach, not only are hypotheses generated through the mapping processes in furthering investigation, but also procedures provided to identify spatial health risk levels with temporal characteristics.
has issue date	2007-01-01(xsd:dateTime)
bibo:doi	10.1007/978-3-540-71318-0_16
has license	no-cc
sha1sum (hex)	72f89583e077eb121611a76d35a34fa20fbce162
schema:url	https://doi.org/10.1007/978-3-540-71318-0_16
resource representing a document's title	A Spatial-Temporal Approach to Differentiate Epidemic Risk Patterns
has PubMed Central identifier	PMC7121663
schema:publication	GIS for Health and the Environment
resource representing a document's body	covid:72f89583e077eb121611a76d35a34fa20fbce162#body_text
is schema:about of	named entity 'TEMPORAL' named entity 'risk' named entity 'risk' named entity 'chronological' named entity 'potential' named entity 'PATTERNS' named entity 'LONG' named entity 'TO IDENTIFY' named entity 'NUMBER' named entity 'INDICATORS' named entity 'SPATIAL AUTOCORRELATION' named entity 'RATHER' named entity 'STATISTIC' named entity 'SIXTY' named entity 'EPIDEMIC' named entity 'YEARS' named entity 'CLUSTERING' named entity 'PATTERNS' named entity 'SPATIAL' named entity 'OUTBREAK' named entity 'APPROACH' named entity 'MAPPING' named entity 'EITHER' named entity 'DURATION' named entity 'RISK' named entity 'EPIDEMIC' named entity 'SPATIAL' named entity 'PROBABILITY OF' named entity 'PROVIDED' named entity 'INTEGRATING' named entity 'LEVELS' named entity 'PURPOSE' named entity 'LOCAL' named entity 'USING' named entity 'TRANSMISSION' named entity 'DID' named entity 'EVALUATING' named entity 'NOVEL' named entity 'HEALTH RISK' named entity 'PROCEDURES' named entity 'DENGUE' named entity 'GENERATED' named entity 'BUT' named entity 'DIFFERENTIATE' named entity 'APPROACH' named entity 'IN THE PAST' named entity 'INTENSITY' named entity 'IDENTIFY' named entity 'DISEASE' named entity 'TEMPORAL' named entity 'RISK' named entity 'AREAS' named entity 'INVESTIGATION' named entity 'RELATIONSHIPS' named entity 'CASES' named entity 'CHARACTERISTICS' named entity 'INCIDENCE RATE' named entity 'DIFFERENT' named entity 'INDICES' named entity 'CHAPTER' named entity 'OCCURRENCE' named entity 'POTENTIAL' named entity 'OCCUR' named entity 'INDICATOR' named entity 'PLOTTING' named entity 'WORST' named entity 'CASE' named entity 'SIGNIFICANCE' named entity 'case' named entity 'outbreak' named entity 'temporal' named entity 'spatial' named entity 'incidence' named entity 'probability' named entity 'areas' named entity 'autocorrelation' named entity 'cases'

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