Arabic web-based surveillance system for monitoring infectious disease outbreaks

Alruily, Meshrif; Hammami, Nacereddine; Goudjil, Mohamed

doi:10.1109/itecha.2015.7317426

Search citation statements

Order By: Relevance

Paper Sections

Select...

) Promed-mail1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2018

Publication Types

Select...

Article1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [58], two methods for identifying and extracting medical terms from the Arabic medical corpus were proposed. Their With regard to infectious disease outbreaks, Alruily et al [59] presented a preliminary work on developing a web-based surveillance system to track infectious diseases by extracting disease-related information from Arabic news textual reports. However, no results were reported because it was a foundational study.…”

Section: ) Promed-mailmentioning

confidence: 99%

A Review on Event-Based Epidemic Surveillance Systems that Support the Arabic Language

Alruily¹

2018

ijacsa

Self Cite

View full text Add to dashboard Cite

With the revolution of the internet, many eventbased systems have been developed for monitoring epidemic threats. These systems rely on unstructured data gathered from various online sources. Moreover, some systems are able to handle more than one language to cover all news reports related to disease outbreaks worldwide. The aim of this paper is to examine existing systems in terms of supporting the Arabic language. The 28 identified systems were evaluated based on different criteria. The results of this evaluation show that only 5 systems support the Arabic language using translation tools; hence, disease outbreaks in news reports written in Arabic are not directly processed. In other words, no existing event-based system in the literature has yet been developed specifically for Arabic health news reports to monitor epidemic diseases.

show abstract

Section: ) Promed-mailmentioning

confidence: 99%