EWORS: using a syndromic-based surveillance tool for disease outbreak detection in Indonesia
Open accessAbstract
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 e-mailed 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.
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Leveraging on artificial intelligence based tracking systems, different countries were able to track movement of Corona positive individuals, thus tracking down any further local transmissions of the virus.
“Leveraging on artificial intelligence based tracking systems different countries were able to track movement of Corona positive individuals, thus tracking down any further local transmissions of the virus [80], [81].”
From Secondary Use of Electronic Health Record: Opportunities and Challenges (2020) · cites this paper as [81]
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Corwin AL, McCarthy M, Larasati RP, Simanjuntak CH, Arjoso S, Putri M, Ryan DM, Mills PD, Foster CA, Campbell JR: Developing regional outbreak response capabilities Early Warning Outbreak Recognition System (EWORS). Navy Medicine. 2000
Corwin, A. (2000)
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Secondary Use of Electronic Health Record: Opportunities and Challenges
Shah, S. M., & Khan, R. A. (2020) · IEEE Access · doi:10.1109/access.2020.3011099 · Cited by 158 · see citing works
Redefining syndromic surveillance
Katz, R., May, L. S., Baker, J., et al. (2011) · Journal of Epidemiology and Global Health · doi:10.1016/j.jegh.2011.06.003 · Cited by 45 · see citing works
“In addition, any other syndrome of severe illness not included in the above should be notified if an outbreak is of urgent international public health importance’’ [31] ‘‘[In developing countries,] syndromic surveillance can identify outbreaks that do not fall into pre-established diagnostic categories, a capability e…”
BackgroundISS-An Electronic Syndromic Surveillance System for Infectious Disease in Rural China
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“The data collection approach in health facilities is currently similar as those used in other syndromic surveillance system established in resource-poor settings [23,24].”
Using statistical methods and genotyping to detect tuberculosis outbreaks
Kammerer, J. S., Shang, N., Althomsons, S. P., et al. (2013) · International Journal of Health Geographics · doi:10.1186/1476-072x-12-15 · Cited by 31 · see citing works
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“…GIS strategy has been used in early warning systems (EWSs) for infectious disease surveillance [9], such as the China Infectious Disease Automated Alert and Response System (CIDARS) [10] and an early warning outbreak recognition system (EWORS) implemented by the Indonesian Ministry of Health [11].”
Electronic public health surveillance in developing settings: meeting summary
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“As a hospital-based network for the early detection of infectious disease outbreaks in Indonesia, the Early Warning Outbreak Recognition System has been introduced in some provincial hospitals, including South Sulawesi [27].”
BackgroundGlobal Infectious Disease Surveillance at DoD Overseas Laboratories, 1999–2007
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“Previous studies on syndromic surveillance of emergency department visits usually focused on the temporal trend of specific clinical syndromes (e.g. respiratory, gastrointestinal, etc.) [3] [4] [5] [6] [7] .”
BackgroundOutbreak preparedness and response strategies in ASEAN member states: a scoping review
Mphande, F. A., Yap, N. J., Teo, C. H., Chang, L., & Tay, S. T. (2024) · IJID Regions · doi:10.1016/j.ijregi.2024.100430 · Cited by 3 · see citing works
Zhao, Q., Yang, F., Palm, L., et al. (2013) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v5i1.4425 · Cited by 3 · see citing works
“It is especially effective for surveillance in resource-poor settings, where laboratory confirmation is not possible or practical (2).”
BackgroundHusnayain, A., Lestari, S. H., Tarmizi, S. N., & Fuad, A. (2020) · medRxiv · doi:10.1101/2020.02.19.20024323 · Cited by 3 · see citing works
“Indonesia had once implemented a syndromic surveillance system involving several sentinel hospitals, which is now no longer continued (Siswoyo et al., 2008).”
BackgroundBioterrorism Information System as the Most Effective Tool in Management of Bioterrorism
Moghaddasi, H. (2019) · Biomedical Journal of Scientific & Technical Research · doi:10.26717/bjstr.2019.16.002887 · Cited by 1 · see citing works
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A Reference Architecture for Developing Resource-Limited Disease Surveillance Systems
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- Authors
- Siswoyo, H., Permana, M., Larasati, R. P., Farid, J., Suryadi, A., & Sedyaningsih, E. R.
- Affiliations
- Kementerian Kesehatan Republik Indonesia (ID)
- Corresponding author
- Siswoyo, Hadi
- Venue
- BMC Proceedings
- Published
- 2008-11-14
- Volume
- 2
- Issue
- S3
- Pages
- S3-S3
- ISSN
- 1753-6561 (ISSN-L)
- PMC
- PMC2587689
- OpenAlex
- W2084806459
- Cited by
- 20
- References
- 1
- Citations by year
- 2025: 1 · 2024: 1 · 2022: 2 · 2020: 2 · 2019: 1 · 2018: 1 · 2013: 3 · 2012: 3
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Proceedings (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Health Sciences › Health Professions › Health Information Management › Global Health and Epidemiology
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
- Keywords
- outbreak detection, infectious disease surveillance, hospital surveillance, pandemic influenza preparedness, Indonesia, public health information systems
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