Extracting information about outbreaks of infectious epidemics

Yangarber, Roman; Jokipii, Lauri; Rauramo, Antti; Huttunen, Silja

doi:10.3115/1225733.1225745

Cited by 17 publications

(7 citation statements)

References 4 publications

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“…Authors from the following active Internet biosurveillance systems are represented: BioCaster [7], the Global Public Health Intelligence Network (GPHIN) [8], HealthMap [9], the Medical Information System (MedISys) (Steinberger et al, IDRC, 2008, Short and Extended Abstracts, pp. 612-614, http://publications.jrc.ec.europa.eu/repository/handle/ 111111111/13078 (accessed 9 February 2013)), the Program for Monitoring Emerging Diseases (ProMED-mail) [10], and the Pattern Understanding and Learning System (PULS) [11].…”

Section: Methodsmentioning

confidence: 99%

“…Examples of commonly detected aspects include the name of the disease, the species affected, the date of the outbreak, the numbers of cases and deaths, and the location of the outbreak. Event meta-data extraction uses the extensively researched technology known as information extraction, which is the basis of PULS and BioCaster [11]. Less common aspects include distal indicators of political and social response, such as ward closures or the deployment of international organizations to the affected region.…”

Section: Data Processingmentioning

confidence: 99%

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An overview of Internet biosurveillance

Hartley

Nelson

Arthur

et al. 2013

Clinical Microbiology and Infection

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Internet biosurveillance utilizes unstructured data from diverse web-based sources to provide early warning and situational awareness of public health threats. The scope of source coverage ranges from local media in the vernacular to international media in widely read languages. Internet biosurveillance is a timely modality that is available to government and public health officials, healthcare workers, and the public and private sector, serving as a real-time complementary approach to traditional indicator-based public health disease surveillance methods. Internet biosurveillance also supports the broader activity of epidemic intelligence. This overview covers the current state of the field of Internet biosurveillance, and provides a perspective on the future of the field.

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Section: Methodsmentioning

confidence: 99%

Section: Data Processingmentioning

confidence: 99%

An overview of Internet biosurveillance

Hartley

Nelson

Arthur

et al. 2013

Clinical Microbiology and Infection

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“…The backward and forward reference searches on second phase keywords search revealed increasing role of health information, communication as integral to leadership,[ 8 – 11 18 – 20 26 – 38 ] as well as increasing role of medical intelligence/surveillance in the health care system in the United States and Europe. [ 12 49 50 – 83 ]…”

Section: Resultsmentioning

confidence: 99%

The Nigerian health care system: Need for integrating adequate medical intelligence and surveillance systems

2011

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Objectives:As an important element of national security, public health not only functions to provide adequate and timely medical care but also track, monitor, and control disease outbreak. The Nigerian health care had suffered several infectious disease outbreaks year after year. Hence, there is need to tackle the problem. This study aims to review the state of the Nigerian health care system and to provide possible recommendations to the worsening state of health care in the country. To give up-to-date recommendations for the Nigerian health care system, this study also aims at reviewing the dynamics of health care in the United States, Britain, and Europe with regards to methods of medical intelligence/surveillance.Materials and Methods:Databases were searched for relevant literatures using the following keywords: Nigerian health care, Nigerian health care system, and Nigerian primary health care system. Additional keywords used in the search were as follows: United States (OR Europe) health care dynamics, Medical Intelligence, Medical Intelligence systems, Public health surveillance systems, Nigerian medical intelligence, Nigerian surveillance systems, and Nigerian health information system. Literatures were searched in scientific databases Pubmed and African Journals OnLine. Internet searches were based on Google and Search Nigeria.Results:Medical intelligence and surveillance represent a very useful component in the health care system and control diseases outbreak, bioattack, etc. There is increasing role of automated-based medical intelligence and surveillance systems, in addition to the traditional manual pattern of document retrieval in advanced medical setting such as those in western and European countries.Conclusion:The Nigerian health care system is poorly developed. No adequate and functional surveillance systems are developed. To achieve success in health care in this modern era, a system well grounded in routine surveillance and medical intelligence as the backbone of the health sector is necessary, besides adequate management couple with strong leadership principles.

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“…Gathering and tracking such information over time from electronic news media plays a crucial role for the development of open-source intelligence systems, particularly in the context of global news monitoring of security threats, mass emergencies and disease outbreaks (Yangarber et al, 2005). In this view, it has been proved that being able to rely on highly multilingual text mining tools and language resources is of paramount importance, in order to achieve an unbiased coverage of global news content (Steinberger, 2012).…”

Section: Introductionmentioning

confidence: 99%

Event Extraction for Balkan Languages

Zavarella¹,

Küçük

Tanev³

et al. 2014

Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguisti

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We describe a system for real-time detection of security and crisis events from online news in three Balkan languages: Turkish, Romanian and Bulgarian. The system classifies the events according to a finegrained event type set. It extracts structured information from news reports, by using a blend of keyword matching and finite-state grammars for entity recognition. We apply a multilingual methodology for the development of the system's language resources, based on adaptation of language-independent grammars and on weakly-supervised learning of lexical resources. Detailed performance evaluation proves that the approach is effective in developing real-world semantic processing applications for relatively less-resourced languages.

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Extracting information about outbreaks of infectious epidemics

Cited by 17 publications

References 4 publications

An overview of Internet biosurveillance

An overview of Internet biosurveillance

The Nigerian health care system: Need for integrating adequate medical intelligence and surveillance systems

Event Extraction for Balkan Languages

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