ArticleIJID regions2025
The early warning and response systems in Syria: A functionality and alert threshold assessment.
Article in IJID regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Barriers and facilitators to the implementation of integrated disease surveillance and response (IDSR) in Africa: a systematic review using the consolidated framework for implementation research (CFIR).Frontiers in public health · 2026Pooled it
- Piloting a mobile early warning alert and response system for East and Central Darfur, Sudan.International health · 2026Article
- Climate-informed surveillance for climate-sensitive infectious diseases in Somalia: early warning systems, policy gaps, and preparedness priorities.Frontiers in epidemiology · 2026Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: this study aims to provide an updated evaluation of the functional characteristics of the two Early Warning Systems (EWS) in Syria, EWARS (Early Warning, Alert, and Response System) and EWARN (Early Warning, Alert, and Response Network), and to test different alert threshold methods using World Health Organization guidelines against the data of selected diseases. Methods: A retrospective analysis of EWARN and EWARS surveillance data assessed functional characteristics. The World Health Organization alert thresholds for measles, acute bloody diarrhea, acute jaundice syndrome, and severe acute respiratory infections were tested using three methods. Sensitivity, specificity, and Youden index determined threshold suitability for each syndrome. Results: The annual average number of reported cases was 1,140,717 for EWARS and 10,189,415 for EWARN. This study found that the optimal alert thresholds varied among different diseases. The percentile method showed promising results with good sensitivity and specificity. For measles, the 85 Conclusions: This study supports the use of adaptable disease-specific alert thresholds such as the percentile approach. Further research is required to develop statistical methods that can be applied to various early warning systems in conflict contexts.
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Registered trials
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