Outbreak detection based on a tree-structured anatomic model for infection

Klaske van Vuurden
Department of Computer Science, University of Tromsø, Tromsø, Norway

Carl-Fredrik Bassøe
Røde Kors Sykehjem, Bergen, Norway

Gunnar Hartvigsen
Department of Computer Science, University of Tromsø, Tromsø, Norway

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Ingår i: Scandinavian Conference on Health Informatics 2012; October 2-3; Linköping; Sverige

Linköping Electronic Conference Proceedings 70:6, s. 35-39

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Publicerad: 2012-09-28

ISBN: 978-91-7519-758-6

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


When designing an outbreak detection system; it may be preferable to use existing medical data as input instead of requesting additional date from medical professionals. In this paper we propose using existing symptom data and reported immunological reactions in EPRs in combination with a model based on the anatomy of disease. We argue that these data for all patients in a geographical area are sufficient to indicate the increase in incidence of infectious diseases. We transform lexical patient data in a seven-step algorithm to a twodimensional space representing the medical anomalies in a geographical area.


Epidemiological research; population surveillance; algorithms; syndromic surveillance; symptom model; patient clusters; immunological reactions


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