A Data Warehouse Design for Dangerous Pathogen Monitoring.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
27 May 2021
Historique:
entrez: 27 5 2021
pubmed: 28 5 2021
medline: 1 6 2021
Statut: ppublish

Résumé

Emerging diseases are a major public health problem as illustrated by the current coronavirus disease (COVID-19) pandemic. To make the right decisions, public health departments need a decision-making system. In Africa few IT systems have been put in place to help managers of public health in the analysis of their multidisciplinary data. The majority of digital health solutions are operational databases, as well, focused on surveillance activities that do not include the laboratory component. This paper describes the design model and implementation of data warehouse for dangerous pathogen monitoring in a laboratories network. Talend data integration is used to extract data in Excel sheets, transform it and load it into a MySQL database.

Identifiants

pubmed: 34042783
pii: SHTI210198
doi: 10.3233/SHTI210198
doi:

Types de publication

Journal Article

Langues

eng

Pagination

447-451

Auteurs

Amadou Dicko (A)

National Institute of Public Health, Burkina Faso.

Seydou Golo Barro (SG)

Nazi BONI University, Burkina Faso.
RETINES Lab - IRIS department - Medical Faculty of Nice University, France.

Yaya Traore (Y)

Joseph Ki-ZERBO University, Burkina Faso.

Pascal Staccini (P)

RETINES Lab - IRIS department - Medical Faculty of Nice University, France.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH