The Global Public Health Intelligence Network

Mawudeku, Abla; Lemay, Richard; Werker, Denise; Andraghetti, R; John, R St

doi:10.1002/9780470692097.ch23

Cited by 15 publications

(11 citation statements)

References 9 publications

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“…For example, BioCaster employs full text translation first and uses only English language selection algorithms, whereas MedISys and HealthMap are language‐specific in terms of the keywords employed to search Internet data. GPHIN employs both language‐specific keywords and algorithms to extract relevant data from the Internet and news aggregator databases , whereas PULS employs language‐specific linguistic analysis and ontologies and inference rules to extract relevant data.…”

Section: Resultsmentioning

confidence: 99%

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: Resultsmentioning

confidence: 99%

An overview of Internet biosurveillance

Hartley

Nelson

Arthur

et al. 2013

Clinical Microbiology and Infection

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“…GPHIN. The Global Public Health Intelligence Network (GPHIN) is a restricted early warning network operated by the Public Health Agency of Canada (11,12). Through an automated process, the system continuously retrieves and categorizes online news articles about any health hazards (diseases, toxin exposures, tsunamis, etc.)…”

Section: Methodsmentioning

confidence: 99%

“…Internet data therefore may serve as a valuable, timely, and informative data source that complements traditional public health infrastructure. There now exist several early warning systems that collect disease-related information from informal sources, examples being the International Society for Infectious Diseases' Program for Monitoring Emerging Diseases (ProMEDmail) (10), the Public Health Agency of Canada's Global Public Health Intelligence Network (GPHIN) (11,12), HealthMap (13,14), Argus (15), MedISys (15), and BioCaster (16).…”

mentioning

confidence: 99%

Global capacity for emerging infectious disease detection

Chan

Brewer²,

Madoff³

et al. 2010

Proc. Natl. Acad. Sci. U.S.A.

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199

197

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“…Its utility was initially demonstrated during the Severe Acute Respiratory Syndrome (SARS) outbreak in 2003 when early alerts were provided in reports from Chinese newspapers. The first English report about an atypical outbreak in China was noted by a pharmaceutical company in the financial section of a newspaper that had reported increased sales of its antiviral drugs (11). This not only flagged the emergence of the outbreak but provided additional information about the local use of antiviral drugs to contain the spread of the virus.…”

Section: The Gphin In Actionmentioning

confidence: 99%

Big Data and the Global Public Health Intelligence Network (GPHIN)

Dion

Abdelmalik

Mawudeku

2015

CCDR

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Background: Globalization and the potential for rapid spread of emerging infectious diseases have heightened the need for ongoing surveillance and early detection. The Global Public Health Intelligence Network (GPHIN) was established to increase situational awareness and capacity for the early detection of emerging public health events.Objective: To describe how the GPHIN has used Big Data as an effective early detection technique for infectious disease outbreaks worldwide and to identify potential future directions for the GPHIN.Findings: Every day the GPHIN analyzes over more than 20,000 online news reports (over 30,000 sources) in nine languages worldwide. A web-based program aggregates data based on an algorithm that provides potential signals of emerging public health events which are then reviewed by a multilingual, multidisciplinary team. An alert is sent out if a potential risk is identified. This process proved useful during the Severe Acute Respiratory Syndrome (SARS) outbreak and was adopted shortly after by a number of countries to meet new International Health Regulations that require each country to have the capacity for early detection and reporting. The GPHIN identified the early SARS outbreak in China, was credited with the first alert on MERS-CoV and has played a significant role in the monitoring of the Ebola outbreak in West Africa. Future developments are being considered to advance the GPHIN's capacity in light of other Big Data sources such as social media and its analytical capacity in terms of algorithm development. Conclusion:The GPHIN's early adoption of Big Data has increased global capacity to detect international infectious disease outbreaks and other public health events. Integration of additional Big Data sources and advances in analytical capacity could further strengthen the GPHIN's capability for timely detection and early warning.

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The Global Public Health Intelligence Network

Cited by 15 publications

References 9 publications

An overview of Internet biosurveillance

An overview of Internet biosurveillance

Global capacity for emerging infectious disease detection

Big Data and the Global Public Health Intelligence Network (GPHIN)

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