Emerging infectious diseases pose an important challenge to public health globally. The identification of an etiologic pathogen responsible for an emerging infection in humans can be a major task. The time required to isolate and characterize a new infectious agent sufficiently to adopt control measures and, when possible, to select and make available curative and preventive treatments can be considerable and take years. If the novel pathogen exhibits rapid pathogenesis, causing serious illness and death in a significant percentage of infected individuals, in addition to efficient transmission and spread, serious consequences for the human population can be readily observed. The race between the spread of a high-consequence pathogen and the deployment of adequate public health measures can hardly be satisfactory from a public perspective, because it is a reactive chain of events to the initial spread of the infectious agent. Predicting the emergence of infectious diseases months or years in advance would be a perfect solution but for now has remained a theoretical concept. Improved surveillance systems to detect emerging infectious diseases and new technologies using algorithms specifically developed to isolate and identify causative infectious agents have been emphasized to minimize public health emergencies related to emerging infections. Enhanced surveillance and detection is one of the most significant improvements to regional and global public health of the past several decades. For example, several regional or national networks, such as the Global Public Health Intelligence Network in Canada and the Global Disease Detection program of the Centers for Disease Control and Prevention network in the United States, are informing and cooperating with international networks, such as the Global Outbreak Alert and Response Network developed by the World Health Organization [1–3]. Unfortunately, surveillance and detection methods are region specific, and many regions are currently not being actively monitored. Regions under surveillance oftenmake use of different technologies and approaches that are not yet standardized, thus creating many potential holes in the global network intended to detect new pathogens before they cause damage. More work will be required before these newly developed systems are ideal, but the recognition of their importance and usefulness is a critical step toward enhanced preparedness and response and ultimately prevention. Viruses are responsible for a significant proportion of emerging infectious diseases, the numbers of which may be on an increasing trend overall [4, 5]. It is clear that surveillance and identification of unknown pathogens has greatly improved in the past decade, which has resulted in the concomitant rise in the number of new pathogens being discovered each year. Again, this increase has occurred despite the fact that the detection and identification of previously unknown pathogens currently depends on heterogeneous surveillance systems of variable sensitivity and precision. Regardless, heightened surveillance, detection, and identification of emerging pathogens are currently active and prolific fields of research. Whether there exists a real or apparent increase in the number of viruses emerging in the past 50 years, compared with the number that emerged 50 or 100 years earlier, there is certainly an increasing number of viruses being detected and identified in recent years. A PubMed search using the term “emerging viruses” revealed that the number of scientific articles published on the subject of emerging viruses has jumped from <10 per year in the early 1990s to nearly 70 in the early 2000s and up to 220 per year during 2011–2012, reflecting a Received and accepted 6 November 2013; electronically published 14 November 2013. Correspondence: Gary Kobinger, Special Pathogens Program, National Microbiology Laboratory, Public Health Agency of Canada, 1015 Arlington St, Winnipeg, Manitoba, R3E 3R2 (gary.kobinger@phac-aspc.gc.ca). The Journal of Infectious Diseases 2014;209:811–2 © Crown copyright 2013. DOI: 10.1093/infdis/jit604
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