EURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers
To access full text version of this article. Please click on the hyperlink "Full Text" at the bottom of this page 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 con...
Published in: | BMC Medical Informatics and Decision Making |
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ftlandspitaliuni:oai:www.hirsla.lsh.is:2336/12545 2023-05-15T16:51:49+02:00 EURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers 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 2007-07-03 745731 bytes application/pdf YES http://hdl.handle.net/2336/12545 https://doi.org/10.1186/1472-6947-3-9 en eng BioMed Central http://www.biomedcentral.com/1472-6947/3/9 BMC Med Inform Decis Mak 2003, 3:9 1472-6947 12846930 doi:10.1186/1472-6947-3-9 http://hdl.handle.net/2336/12545 Data Collection Child Day Care Centers Child Databases Decision Support Techniques Drug Resistance Microbial Europe Humans Internet Medical Informatics Pneumococcal Infections Population Surveillance Streptococcus pneumoniae Article 2007 ftlandspitaliuni https://doi.org/10.1186/1472-6947-3-9 2022-05-29T08:20:59Z To access full text version of this article. Please click on the hyperlink "Full Text" at the bottom of this page 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. Article in Journal/Newspaper Iceland Hirsla - Landspítali University Hospital research archive BMC Medical Informatics and Decision Making 3 1 |
institution |
Open Polar |
collection |
Hirsla - Landspítali University Hospital research archive |
op_collection_id |
ftlandspitaliuni |
language |
English |
topic |
Data Collection Child Day Care Centers Child Databases Decision Support Techniques Drug Resistance Microbial Europe Humans Internet Medical Informatics Pneumococcal Infections Population Surveillance Streptococcus pneumoniae |
spellingShingle |
Data Collection Child Day Care Centers Child Databases Decision Support Techniques Drug Resistance Microbial Europe Humans Internet Medical Informatics Pneumococcal Infections Population Surveillance Streptococcus pneumoniae 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 EURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers |
topic_facet |
Data Collection Child Day Care Centers Child Databases Decision Support Techniques Drug Resistance Microbial Europe Humans Internet Medical Informatics Pneumococcal Infections Population Surveillance Streptococcus pneumoniae |
description |
To access full text version of this article. Please click on the hyperlink "Full Text" at the bottom of this page 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. |
format |
Article in Journal/Newspaper |
author |
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 |
author_facet |
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 |
author_sort |
Silva, Sara |
title |
EURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers |
title_short |
EURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers |
title_full |
EURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers |
title_fullStr |
EURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers |
title_full_unstemmed |
EURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers |
title_sort |
eurisweb--web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers |
publisher |
BioMed Central |
publishDate |
2007 |
url |
http://hdl.handle.net/2336/12545 https://doi.org/10.1186/1472-6947-3-9 |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
http://www.biomedcentral.com/1472-6947/3/9 BMC Med Inform Decis Mak 2003, 3:9 1472-6947 12846930 doi:10.1186/1472-6947-3-9 http://hdl.handle.net/2336/12545 |
op_doi |
https://doi.org/10.1186/1472-6947-3-9 |
container_title |
BMC Medical Informatics and Decision Making |
container_volume |
3 |
container_issue |
1 |
_version_ |
1766041910400516096 |