Assessment of electronic disease early warning system for improved disease surveillance and outbreak response in Yemen

• Verfasst von: Dureab, Fekri [VerfasserIn]
• Verfasst von: Beiersmann, Claudia [VerfasserIn]
• Verfasst von: Jahn, Albrecht [VerfasserIn]
• Titel: Assessment of electronic disease early warning system for improved disease surveillance and outbreak response in Yemen
• Verf.angabe: Fekri Dureab, Kamran Ahmed, Claudia Beiersmann, Claire J. Standley, Ali Alwaleedi and Albrecht Jahn
• E-Jahr: 2020
• Jahr: 18 September 2020
• Umfang: 11 S.
• Fussnoten: Gesehen am 06.05.2022
• Titel Quelle: Enthalten in: BMC public health
• Ort Quelle: London : BioMed Central, 2001
• Jahr Quelle: 2020
• Band/Heft Quelle: 20(2020), Artikel-ID 1422, Seite 1-11
• ISSN Quelle: 1471-2458
• DOI: doi:10.1186/s12889-020-09460-4
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Assessment
• Sach-SW: Disease surveillance
• Sach-SW: Early warning system
• Sach-SW: eDEWS
• Sach-SW: Outbreak response
• Sach-SW: Performance indicators
• Sach-SW: Public health emergencies
• Sach-SW: Yemen
• K10plus-PPN: 1750421569

Abstract

Diseases Surveillance is a continuous process of data collection, analysis interpretation and dissemination of information for swift public health action. Recent advances in health informatics have led to the implementation of electronic tools to facilitate such critical disease surveillance processes. This study aimed to assess the performance of the national electronic Disease Early Warning System in Yemen (eDEWS) using system attributes: data quality, timeliness, stability, simplicity, predictive value positive, sensitivity, acceptability, flexibility, and representativeness, based on the Centres for Disease Control & Prevention (US CDC) standard indicators.