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Volume 19, Number 4—April 2013

Research

Predicting Hotspots for Influenza Virus Reassortment

Trevon L. FullerComments to Author , Marius Gilbert, Vincent Martin, Julien Cappelle, Parviez Hosseini, Kevin Y. Njabo, Soad Abdel Aziz, Xiangming Xiao, Peter Daszak, and Thomas B. Smith
Author affiliations: University of California, Los Angeles, California, USA (T.L. Fuller, K.Y. Njabo, T.B. Smith); Université Libre de Bruxelles, Brussels, Belgium (M. Gilbert); Food and Agriculture Organization of the United Nations, Beijing, People’s Republic of China (V. Martin); Centre de Cooperation International en Recherche Agronomique pour le Developpement, Montpellier, France (J. Cappelle); EcoHealth Alliance, New York, New York, USA (P. Hosseini, P. Daszak); National Laboratory for Quality Control on Poultry Production, Dokki, Giza, Egypt (S.A. Aziz); University of Oklahoma, Oklahoma City, Oklahoma, USA (X. Xiao)

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Figure 3

Potential influenza reassortment areas in People’s Republic of China determined by using the influenza virus subtype H5N1 outbreak dataset. A) Density of swine. B) Spatial model of the risk for subtype H3N2 and H5N1 co-occurrence according to the outbreak dataset. C) Areas with a probability of subtype H5N1 and H3N2 co-occurrence >50% and above average swine density. D) Areas with a probability of subtype H5N1 and H3N2 co-occurrence >50% and above average human population density. See Tech

Figure 3. . . Potential influenza reassortment areas in People’s Republic of China determined by using the influenza virus subtype H5N1 outbreak dataset. A) Density of swine. B) Spatial model of the risk for subtype H3N2 and H5N1 co-occurrence according to the outbreak dataset. C) Areas with a probability of subtype H5N1 and H3N2 co-occurrence >50% and above average swine density. D) Areas with a probability of subtype H5N1 and H3N2 co-occurrence >50% and above average human population density. See , for corresponding maps based on the subtype H5N1 surveillance dataset.

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