2010
DOI: 10.1056/nejmsr1002707
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Information Technology and Global Surveillance of Cases of 2009 H1N1 Influenza

Abstract: The widespread adoption of increasingly sophisticated forms of information technology has paralleled the increase in rapid and far-reaching international travel. The emergence and global spread of the 2009 pandemic influenza A (H1N1) virus illustrated not only the hazards of an interconnected world, but also the powerful role of new methods for detecting, tracking, and responding to infectious diseases. 1 Although formal reporting, surveillance, and response structures remain essential to protecting public hea… Show more

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Cited by 87 publications
(72 citation statements)
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References 10 publications
(9 reference statements)
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“…In fact, most digital surveillance has been used to detect community-based transmitted diseases101617181920. It may be related to the fact that MERS also infects the general population, such as patient family members and caregivers.…”
Section: Discussionmentioning
confidence: 99%
“…In fact, most digital surveillance has been used to detect community-based transmitted diseases101617181920. It may be related to the fact that MERS also infects the general population, such as patient family members and caregivers.…”
Section: Discussionmentioning
confidence: 99%
“…The feasibility of using online information for epidemiological intelligence purposes has led to the creation of proprietary systems such as Google Flu Trends, which is an online search query system that has demonstrated the ability to track regional outbreaks of influenza 7-10 days in advance of conventional Centers for Disease Control and Prevention (CDC) mechanisms for reporting [23]. In addition, Healthmap represents a public system for aggregating large amounts of online information (eg, news sources) for the purpose of monitoring global disease activity [24]. …”
Section: Introductionmentioning
confidence: 99%
“…These include tools to aid in the clinical diagnosis of single cases of infectious diseases [7][8][9][10][11][12][13], tools that process unverified epidemic intelligence using specific keywords, e.g. HealthMap.org [14,15] and Google Flu Trends [16], those that compile verified outbreak data, e.g. GLEWS (Global Early Warning System for major animal diseases including zoonoses, http://www.glews.net) [17], GAINS (Global Animal INformation System, http://www.gains.org) and Global Infectious Disease and Epidemiology Network (GIDEON) [7] and those that disseminate expert-moderated outbreak reports and anecdotal information, e.g.…”
Section: Introductionmentioning
confidence: 99%