ArticleInternational journal of health geographics2008
EpiScanGIS: an online geographic surveillance system for meningococcal disease.
Article in International journal of health geographics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Visualization and analytics tools for infectious disease epidemiology: a systematic review.Journal of biomedical informatics · 2014Pooled it
- Invasive meningococcal B disease: Spatiotemporal cluster identification using finetype data, the Netherlands, 2005-2023.Epidemiology and infection · 2026Article
- A systematic review on integration mechanisms in human and animal health surveillance systems with a view to addressing global health security threats.One health outlook · 2020Review
- Faster Detection of Poliomyelitis Outbreaks to Support Polio Eradication.Emerging infectious diseases · 2016Article
- A low-cost method to assess the epidemiological importance of individuals in controlling infectious disease outbreaks.BMC medicine · 2013Article
- Geotemporal analysis of Neisseria meningitidis clones in the United States: 2000-2005.PloS one · 2013Article
- Beyond information access: Support for complex cognitive activities in public health informatics tools.Online journal of public health informatics · 2012Article
- Epinome - a novel workbench for epidemic investigation and analysis of search strategies in public health practice.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010Article
- A scan statistic for continuous data based on the normal probability model.International journal of health geographics · 2009Article
- Georeferencing of deaths from sepsis in the city of São Paulo.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious DiseasesArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSurveillance of infectious diseases increasingly relies on Geographic Information Systems (GIS). The integration of pathogen fine typing data in dynamic systems and visualization of spatio-temporal clusters are a technical challenge for system development.
resultsAn online geographic information system (EpiScanGIS) based on open source components has been launched in Germany in May 2006 for real time provision of meningococcal typing data in conjunction with demographic information (age, incidence, population density). Spatio-temporal clusters of disease detected by computer assisted cluster analysis (SaTScan) are visualized on maps. EpiScanGIS enables dynamic generation of animated maps. The system is based on open source components; its architecture is open for other infectious agents and geographic regions. EpiScanGIS is available at http://www.episcangis.org, and currently has 80 registered users, mostly from the public health service in Germany. At present more than 2,900 cases of invasive meningococcal disease are stored in the database (data as of June 3, 2008).
conclusionEpiScanGIS exemplifies GIS applications and early-warning systems in laboratory surveillance of infectious diseases.
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Registered trials
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.