EURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers

2.50
Hdl Handle:
http://hdl.handle.net/2336/12545
Title:
EURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers
Authors:
Silva, Sara; Gouveia-Oliveira, Rodrigo; Maretzek, António; Carriço, João; Gudnason, Thorolfur; Kristinsson, Karl G; Ekdahl, Karl; Brito-Avô, António; Tomasz, Alexander; Sanches, Ilda Santos; de Lencastre, Hermínia; Almeida, Jonas
Citation:
BMC Med Inform Decis Mak 2003, 3:9
Issue Date:
8-Jul-2003
Abstract:
BACKGROUND: EURIS (European Resistance Intervention Study) was launched as a multinational study in September of 2000 to identify the multitude of complex risk factors that contribute to the high carriage rate of drug resistant Streptococcus pneumoniae strains in children attending Day Care Centers in several European countries. Access to the very large number of data required the development of a web-based infrastructure - EURISWEB - that includes a relational online database, coupled with a query system for data retrieval, and allows integrative storage of demographic, clinical and molecular biology data generated in EURIS. METHODS: All components of the system were developed using open source programming tools: data storage management was supported by PostgreSQL, and the hypertext preprocessor to generate the web pages was implemented using PHP. The query system is based on a software agent running in the background specifically developed for EURIS. RESULTS: The website currently contains data related to 13,500 nasopharyngeal samples and over one million measures taken from 5,250 individual children, as well as over one thousand pre-made and user-made queries aggregated into several reports, approximately. It is presently in use by participating researchers from three countries (Iceland, Portugal and Sweden). CONCLUSION: An operational model centered on a PHP engine builds the interface between the user and the database automatically, allowing an easy maintenance of the system. The query system is also sufficiently adaptable to allow the integration of several advanced data analysis procedures far more demanding than simple queries, eventually including artificial intelligence predictive models.
Description:
To access full text version of this article. Please click on the hyperlink "Full Text" at the bottom of this page
Additional Links:
http://www.biomedcentral.com/1472-6947/3/9

Full metadata record

DC FieldValue Language
dc.contributor.authorSilva, Sara-
dc.contributor.authorGouveia-Oliveira, Rodrigo-
dc.contributor.authorMaretzek, António-
dc.contributor.authorCarriço, João-
dc.contributor.authorGudnason, Thorolfur-
dc.contributor.authorKristinsson, Karl G-
dc.contributor.authorEkdahl, Karl-
dc.contributor.authorBrito-Avô, António-
dc.contributor.authorTomasz, Alexander-
dc.contributor.authorSanches, Ilda Santos-
dc.contributor.authorde Lencastre, Hermínia-
dc.contributor.authorAlmeida, Jonas-
dc.date.accessioned2007-07-03T14:35:24Z-
dc.date.available2007-07-03T14:35:24Z-
dc.date.issued2003-07-08-
dc.date.submitted2007-07-03-
dc.identifier.citationBMC Med Inform Decis Mak 2003, 3:9en
dc.identifier.issn1472-6947-
dc.identifier.pmid12846930-
dc.identifier.doi10.1186/1472-6947-3-9-
dc.identifier.urihttp://hdl.handle.net/2336/12545-
dc.descriptionTo access full text version of this article. Please click on the hyperlink "Full Text" at the bottom of this pageen
dc.description.abstractBACKGROUND: EURIS (European Resistance Intervention Study) was launched as a multinational study in September of 2000 to identify the multitude of complex risk factors that contribute to the high carriage rate of drug resistant Streptococcus pneumoniae strains in children attending Day Care Centers in several European countries. Access to the very large number of data required the development of a web-based infrastructure - EURISWEB - that includes a relational online database, coupled with a query system for data retrieval, and allows integrative storage of demographic, clinical and molecular biology data generated in EURIS. METHODS: All components of the system were developed using open source programming tools: data storage management was supported by PostgreSQL, and the hypertext preprocessor to generate the web pages was implemented using PHP. The query system is based on a software agent running in the background specifically developed for EURIS. RESULTS: The website currently contains data related to 13,500 nasopharyngeal samples and over one million measures taken from 5,250 individual children, as well as over one thousand pre-made and user-made queries aggregated into several reports, approximately. It is presently in use by participating researchers from three countries (Iceland, Portugal and Sweden). CONCLUSION: An operational model centered on a PHP engine builds the interface between the user and the database automatically, allowing an easy maintenance of the system. The query system is also sufficiently adaptable to allow the integration of several advanced data analysis procedures far more demanding than simple queries, eventually including artificial intelligence predictive models.en
dc.format.extent745731 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherBioMed Centralen
dc.relation.urlhttp://www.biomedcentral.com/1472-6947/3/9en
dc.subject.meshData Collectionen
dc.subject.meshChild Day Care Centersen
dc.subject.meshChilden
dc.subject.meshDatabasesen
dc.subject.meshDecision Support Techniquesen
dc.subject.meshDrug Resistance, Microbialen
dc.subject.meshEuropeen
dc.subject.meshHumansen
dc.subject.meshInterneten
dc.subject.meshMedical Informaticsen
dc.subject.meshPneumococcal Infectionsen
dc.subject.meshPopulation Surveillanceen
dc.subject.meshStreptococcus pneumoniaeen
dc.titleEURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centersen
dc.typeArticleen
dc.format.digYES-

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