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Table 1 Surveillance node coverage for achieving an outbreak source detection higher than 90% Observers Outbreak (Network) Random High degree maxVoI Cholera Cameroon 2010 (Tree) 20%5%3%3% Salmonella USA 2012 (Tree) 37%13%5%5% H5N1 2007 (Graph) 46%38%2020% Number are the percentage (N o / N ×100) of observers necessary to achieve a probability of localization of outbreak sources equal to 90%.
These patients' denial of any association with the outbreak network may be a consequence of the secretive nature of some transgender persons, who are often ostracized by society.
Early recognition of this outbreak by the City of Baltimore TB Control Program staff and their suspicion of a larger outbreak network beyond that city were critical to the initiation of the multistate investigation.
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However, few studies have used RFLP to uncover outbreak networks across geographic areas this large.
But the proposal continues to ramp up investment in the antimicrobial resistance initiative the White House announced in last year's request, which will establish an outbreak surveillance network to track drug-resistant strains, and set up state-level resistance prevention programs.
Data from 4 sources were available for comparison: 3 laboratory-based norovirus outbreak surveillance network databases and 1 systematic review of norovirus outbreaks in the peer-reviewed published literature.
At the time of the Kéllé (Republic of Congo) outbreak, our network detected infected gorilla carcasses (Lossi, December 6 , 2002 3 weeks before the disease emerged in humans (December 25 , 2002, showing active Ebola virus propagation in this area.
CaliciNet is a national norovirus outbreak surveillance network of public health and food regulatory laboratories that submit epidemiologic information and PCR-based norovirus detection and typing information, including regions C and D (capsid) sequences of the genome, to a national database by using standardized protocols (12, 16 ).
During the last decades, massive outbreaks of network viruses have caused enormous financial losses.
The contact networks between individuals can have a profound impact on the evolution of an infectious outbreak within a network.
Accuracy in systems diagnosis increases when system syndromic signs are the most informative in a way they reveal linkages between outbreak patterns and network transmission processes.
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