Identification

Author

Siswoyo H, Permana M, Larasati RP, Farid J, Suryadi A, et al.

Title

EWORS: Using a syndromic-based surveillance tool for diseaseoutbreak detection in Indonesia

Year

2008

Publication type

In proceedings

Journal

BMC Proceedings

Created

2012-10-05 18:30:32+00:00

Modified

2016-08-09 21:38:29.486364+00:00

Details

Volume

2

Number

Suppl 3

Access

Language

English

URL http://www.biomedcentral.com/1753-6561/2/S3/S3
DOI

10.1186/1753-6561-2-s3-s3

Accessed

2016-06-08

Extended information

Abstract

Abstract
Background: Electronic syndromic surveillance for early outbreak detection may be a simple,
effective tool to rapidly bring reliable and actionable outbreak data to the attention of public health
authorities in the developing world.
Methods: Twenty-nine signs and symptoms from patients with conditions compatible with
infectious diseases are collected from selected Provincial hospitals and analyzed daily. Data is emailed
on a daily basis to a central data management and analysis center. Automated data analysis
may be viewed at the hospital or the Early Warning Outbreak Response System (EWORS) hub at
the central level (National Institute of Health Research and Development/NIHRD).
Conclusion: The Indonesian Ministry of Health (MoH) has adopted EWORS since 2006 and will
use it as a complementary surveillance tool in wider catchment areas throughout the country.
Socialization to more users is still being conducted under collaboration of three Directorate
Generals (DGs) of the MoH; DG of NIHRD, DG of Medical Services and DG of Communicable
Disease Control and Prevention. Currently, EWORS is being adapted to facilitate detecting a
potential outbreak of pandemic influenza in the region, and automated procedures for outbreak
detection have been added.