Cargando…
EpiScanGIS: an online geographic surveillance system for meningococcal disease
BACKGROUND: Surveillance 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. RESULTS: An online geographic i...
Autores principales: | , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2483700/ https://www.ncbi.nlm.nih.gov/pubmed/18593474 http://dx.doi.org/10.1186/1476-072X-7-33 |
_version_ | 1782158057676996608 |
---|---|
author | Reinhardt, Markus Elias, Johannes Albert, Jürgen Frosch, Matthias Harmsen, Dag Vogel, Ulrich |
author_facet | Reinhardt, Markus Elias, Johannes Albert, Jürgen Frosch, Matthias Harmsen, Dag Vogel, Ulrich |
author_sort | Reinhardt, Markus |
collection | PubMed |
description | BACKGROUND: Surveillance 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. RESULTS: An 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 , 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). CONCLUSION: EpiScanGIS exemplifies GIS applications and early-warning systems in laboratory surveillance of infectious diseases. |
format | Text |
id | pubmed-2483700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-24837002008-07-25 EpiScanGIS: an online geographic surveillance system for meningococcal disease Reinhardt, Markus Elias, Johannes Albert, Jürgen Frosch, Matthias Harmsen, Dag Vogel, Ulrich Int J Health Geogr Research BACKGROUND: Surveillance 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. RESULTS: An 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 , 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). CONCLUSION: EpiScanGIS exemplifies GIS applications and early-warning systems in laboratory surveillance of infectious diseases. BioMed Central 2008-07-01 /pmc/articles/PMC2483700/ /pubmed/18593474 http://dx.doi.org/10.1186/1476-072X-7-33 Text en Copyright © 2008 Reinhardt et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Reinhardt, Markus Elias, Johannes Albert, Jürgen Frosch, Matthias Harmsen, Dag Vogel, Ulrich EpiScanGIS: an online geographic surveillance system for meningococcal disease |
title | EpiScanGIS: an online geographic surveillance system for meningococcal disease |
title_full | EpiScanGIS: an online geographic surveillance system for meningococcal disease |
title_fullStr | EpiScanGIS: an online geographic surveillance system for meningococcal disease |
title_full_unstemmed | EpiScanGIS: an online geographic surveillance system for meningococcal disease |
title_short | EpiScanGIS: an online geographic surveillance system for meningococcal disease |
title_sort | episcangis: an online geographic surveillance system for meningococcal disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2483700/ https://www.ncbi.nlm.nih.gov/pubmed/18593474 http://dx.doi.org/10.1186/1476-072X-7-33 |
work_keys_str_mv | AT reinhardtmarkus episcangisanonlinegeographicsurveillancesystemformeningococcaldisease AT eliasjohannes episcangisanonlinegeographicsurveillancesystemformeningococcaldisease AT albertjurgen episcangisanonlinegeographicsurveillancesystemformeningococcaldisease AT froschmatthias episcangisanonlinegeographicsurveillancesystemformeningococcaldisease AT harmsendag episcangisanonlinegeographicsurveillancesystemformeningococcaldisease AT vogelulrich episcangisanonlinegeographicsurveillancesystemformeningococcaldisease |