Predicting Hotspots for Influenza Virus Reassortment
Trevon L. Fuller , 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)
Figure 2. . . Influenza empirical data and occurrence maps for influenza virus subtypes H3N2 and H5N1. A) Observed cases of subtypes H3N2 and H5N1 in People’s Republic of China, according to outbreaks reported to the Chinese Ministry of Agriculture. B) Spatial model of the probability of subtype H3N2 at the prefecture scale predicted by using logistic regression. C) Risk for subtype H5N1 according to the outbreak dataset. See , for the corresponding map for the surveillance dataset.
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