Abstract: With the revolution of the internet, many event-based 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.

Meshrif Alruily, “A Review on Event-Based Epidemic Surveillance Systems that Support the Arabic Language” International Journal of Advanced Computer Science and Applications(IJACSA), 9(11), 2018. http://dx.doi.org/10.14569/IJACSA.2018.0911102

@article{Alruily2018,
title = {A Review on Event-Based Epidemic Surveillance Systems that Support the Arabic Language},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.0911102},
url = {http://dx.doi.org/10.14569/IJACSA.2018.0911102},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {11},
author = {Meshrif Alruily}
}