Abstract
With the revolution of the internet, online data play a significant role in identifying disease outbreaks. This has led researchers, governments and organizations to pay close attention to such data in order to employ and exploit them in developing event-based systems. This research studies the infectious disease outbreaks domain in the Arabic language. In this paper, the Arabic Surveillance Infectious Disease Outbreak System (ASIDOS), which is able to extract infectious disease-related information from unstructured data published by newswires is developed. For identifying the features extraction and performing the data analysis, the word association methodology was adopted. The proposed system is validated through experiments using a corpus collated from different sources. Precision, recall and F-measure are used to evaluate the performance of the proposed information extraction method. The overall results achieved are: precision 94%, recall 74% and F-measure 83%.
Highlights
During the past few years, the spread of many different pandemic diseases has increased worldwide; for example, the disease caused by the Ebola virus was first reported by the World Health Organization (WHO) in Guinea in 2014, which spread rapidly to many West African countries causing hundreds of deaths
The World Health Organization (WHO) defines this type of system “A passive surveillance system relies on the cooperation of health-care providerslaboratories, hospitals, health facilities and private practitioners-to report the occurrence of a vaccinepreventable disease to a higher administrative level” (WHO, 2014) in the case of using passive surveillance systems, regular submission of monthly, weekly or daily reports of disease data by all health facilities is required
Implementing this type of system has some advantages, such as its ability to cover all parts of a country and its statistical power, it takes a couple of weeks for disease patterns to be detected and the results regarding possible outbreaks to be disseminated; not all countries have the required infrastructure to implement this system (Velasco et al, 2014; Collier and Doan, 2012; WHO, 2014; Ramalingam, 2016)
Summary
During the past few years, the spread of many different pandemic diseases has increased worldwide; for example, the disease caused by the Ebola virus was first reported by the World Health Organization (WHO) in Guinea in 2014, which spread rapidly to many West African countries causing hundreds of deaths (Guinea 346, Liberia 181, Nigeria 1, SierraLeone 37) (Washington, 2015; PAHO/WHO, 2014). The World Health Organization (WHO) defines this type of system “A passive surveillance system relies on the cooperation of health-care providerslaboratories, hospitals, health facilities and private practitioners-to report the occurrence of a vaccinepreventable disease to a higher administrative level” (WHO, 2014) in the case of using passive surveillance systems, regular submission of monthly, weekly or daily reports of disease data by all health facilities is required Implementing this type of system has some advantages, such as its ability to cover all parts of a country and its statistical power, it takes a couple of weeks for disease patterns to be detected and the results regarding possible outbreaks to be disseminated; not all countries have the required infrastructure to implement this system (Velasco et al, 2014; Collier and Doan, 2012; WHO, 2014; Ramalingam, 2016). The WHO defines it "Event-based surveillance is the organized and rapid capture of information about
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