ArticleBMC medical informatics and decision making2010
CASE: a framework for computer supported outbreak detection.
Article in BMC medical informatics and decision making, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Web-Based Apps for Responding to Acute Infectious Disease Outbreaks in the Community: Systematic Review.JMIR public health and surveillance · 2021Pooled it
- Early outbreak detection in endemic settings using a novel method applied to sparse Rift Valley fever incidence data.Scientific reports · 2026Article
- Developing a Research Network of Early Warning Systems for Infectious Diseases Transmission Between China and Australia.China CDC weekly · 2024Article
- Comparing malaria early detection methods in a declining transmission setting in northwestern Ethiopia.BMC public health · 2021Article
- Influence of infectious disease seasonality on the performance of the outbreak detection algorithm in the China Infectious Disease Automated-alert and Response System.The Journal of international medical research · 2018Article
- Hand, foot and mouth disease in China: evaluating an automated system for the detection of outbreaks.Bulletin of the World Health Organization · 2014Article
- Real-time automatic hospital-wide surveillance of nosocomial infections and outbreaks in a large Chinese tertiary hospital.BMC medical informatics and decision making · 2014Article
- A nationwide web-based automated system for outbreak early detection and rapid response in China.Western Pacific surveillance and response journal : WPSAR · 2011Article
- A Comprehensive Comparison of Multiparty Secure Additions with Differential Privacy.IEEE transactions on dependable and secure computingArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 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.
resultsBased 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.
conclusionsThe 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.