Literature DB >> 16076554

Extending the event calculus for tracking epidemic spread.

Hervé Chaudet1.   

Abstract

OBJECTIVE: The email reporting system has been recognized as a key tool for early warning of disease outbreaks and surveillance of emerging diseases. The aim of the work reported here was to develop a formal language for building an event-centered representation of outbreak histories, described by outbreak reports, which could be used for tracking the spread of epidemics.
METHODS: The SpatioTemporal Extended Event Language (STEEL) we have built is an extension of the Event Calculus that is based on joint spatial and temporal location of event occurrences and structured conglomeration of events. This language allows us to represent and build aggregates of events, according to their spatiotemporal location. MATERIAL AND
RESULTS: In a proof of concept study, this language was implemented in Prolog. A trial corpus of 35 outbreak reports from a PROMED-Mail diffusion list was hand coded in an experimental implementation of STEEL. The performances of this language were compared with three human experts during a question and answer task on this corpus. The experiment showed agreement between responses of the experts and the system.
CONCLUSION: STEEL ensures the spatial and temporal location of event occurrence. The resulting representation is very close to the narrative. Further work must be made to develop a system capable of automatically modeling outbreak reports.

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Year:  2005        PMID: 16076554     DOI: 10.1016/j.artmed.2005.06.001

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  3 in total

1.  Analysis of syntactic and semantic features for fine-grained event-spatial understanding in outbreak news reports.

Authors:  Hutchatai Chanlekha; Nigel Collier
Journal:  J Biomed Semantics       Date:  2010-03-31

Review 2.  Uncovering text mining: a survey of current work on web-based epidemic intelligence.

Authors:  Nigel Collier
Journal:  Glob Public Health       Date:  2012-07-11

3.  Structuring an event ontology for disease outbreak detection.

Authors:  Ai Kawazoe; Hutchatai Chanlekha; Mika Shigematsu; Nigel Collier
Journal:  BMC Bioinformatics       Date:  2008-04-11       Impact factor: 3.169

  3 in total

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