Author: Cauchemez, Simon; Epperson, Scott; Biggerstaff, Matthew; Swerdlow, David; Finelli, Lyn; Ferguson, Neil M.
Title: Using Routine Surveillance Data to Estimate the Epidemic Potential of Emerging Zoonoses: Application to the Emergence of US Swine Origin Influenza A H3N2v Virus Document date: 2013_3_5
ID: 16c8dwfq_56
Snippet: Finally, we hope that simplicity of our method and its limited data requirements will facilitate more robust monitoring of the epidemic potential of many zoonoses known to cause occasional human case clusters (such as Crimean-Congo hemorrhagic fever, Monkeypox virus, E. coli O157:H7, or Mycobacterium bovis) [12] around the world. This box summarizes the relationships between G (proportion of detected cases infected by the reservoir), F (proportio.....
Document: Finally, we hope that simplicity of our method and its limited data requirements will facilitate more robust monitoring of the epidemic potential of many zoonoses known to cause occasional human case clusters (such as Crimean-Congo hemorrhagic fever, Monkeypox virus, E. coli O157:H7, or Mycobacterium bovis) [12] around the world. This box summarizes the relationships between G (proportion of detected cases infected by the reservoir), F (proportion of first detected cases in each cluster infected by the reservoir), and the reproduction number R, for the different surveillance scenarios.
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