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CASE: A Framework for Computer Supported Outbreak Detection
KTH.
Swedish Institute for Infectious Control (SMI).
Swedish Institute for Infectious Control (SMI).
Swedish Institute for Infectious Control (SMI).
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2010 (English)In: BMC Medical Informatics and Decision Making, ISSN 1472-6947, E-ISSN 1472-6947, Vol. 10, no 14Article in journal (Refereed) Published
Abstract [en]

Background: In computer supported outbreak detection, a statistical method is applied to a collection of cases to detect any excess cases for a particular disease. Whether a detected aberration is a true outbreak is decided by a human expert. We present a technical framework designed and implemented at the Swedish Institute for Infectious Disease Control for computer supported outbreak detection, where a database of case reports for a large number of infectious diseases can be processed using one or more statistical methods selected by the user.

Results: Based on case information, such as diagnosis and date, different statistical algorithms for detecting outbreaks can be applied, both on the disease level and the subtype level. The parameter settings for the algorithms can be configured independently for different diagnoses using the provided graphical interface. Input generators and output parsers are also provided for all supported algorithms. If an outbreak signal is detected, an email notification is sent to the persons listed as receivers for that particular disease.

Conclusions: The framework is available as open source software, licensed under GNU General Public License Version 3. By making the code open source, we wish to encourage others to contribute to the future development of computer supported outbreak detection systems, and in particular to the development of the CASE framework.

Place, publisher, year, edition, pages
2010. Vol. 10, no 14
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-92980DOI: 10.1186/1472-6947-10-14OAI: oai:DiVA.org:su-92980DiVA: diva2:643584
Available from: 2013-08-27 Created: 2013-08-27 Last updated: 2017-12-06Bibliographically approved
In thesis
1. The Informed Gaze: On the Implications of ICT-Based Surveillance
Open this publication in new window or tab >>The Informed Gaze: On the Implications of ICT-Based Surveillance
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Information and communication technologies are not value-neutral. I examine two domains, public health surveillance and sustainability, in five papers covering: (i) the design and development of a software package for computer-assisted outbreak detection; (ii) a workflow for using simulation models to provide policy advice and a list of challenges for its practice; (iii) an analysis of design documents from three smart home projects presenting intersecting visions of sustainability; (iv) an analysis of EU-financed projects dealing with sustainability and ICT; (v) an analysis of the consequences of design choices when creating surveillance technologies. My contributions include three empirical studies of surveillance discourses where I identify the forms of action that are privileged and the values that are embedded into them. In these discourses, the presence of ICT entails increased surveillance, privileging technological expertise, and prioritising centralised forms of knowledge.

Place, publisher, year, edition, pages
Stockholm: Department of Computer and Systems Sciences, Stockholm University, 2013. 68 p.
Series
SICS dissertation series, ISSN 1101-1335 ; 66Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 13-006
Keyword
ICT, discourse, surveillance, design, sustainability, outbreak detection
National Category
Information Systems, Social aspects Human Aspects of ICT Other Computer and Information Science
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-92956 (URN)978-91-7447-669-9 (ISBN)
Public defence
2013-10-15, sal C, Forum 100, Isafjordsgatan 39, Kista, 13:00 (English)
Opponent
Supervisors
Note

At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 4: Manuscript. Paper 5: Manuscript.

Available from: 2013-09-23 Created: 2013-08-27 Last updated: 2013-09-13Bibliographically approved

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