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Volume 19, Number 6—June 2013

Research

Spatiotemporal Dynamics of Dengue Epidemics, Southern Vietnam

Hoang Quoc Cuong, Nguyen Thanh Vu, Bernard Cazelles, Maciej F. Boni, Khoa T.D. Thai, Maia A. Rabaa, Luong Chan Quang, Cameron P. Simmons, Tran Ngoc Huu, and Katherine L. AndersComments to Author 
Author affiliations: Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam (H.Q. Cuong, M.F. Boni, K.T.D. Thai, C.P. Simmons, K.L. Anders); Pasteur Institute, Ho Chi Minh City (H.Q. Cuong, N.T. Vu, L.C. Quang, T.N. Huu); University of Oxford, Oxford, UK (M.F. Boni, C.P. Simmons, K.L. Anders); Unités Mixtes de Recherche, Paris, France (B. Cazelles); L'Unité Mixte Internationale, Bondy, France (B. Cazelles); University Medical Centre, Rotterdam, the Netherlands (K.T.D. Thai); Pennsylvania State University, University Park, Pennsylvania, USA (M.A. Rabaa); Monash University, Melbourne, Victoria, Australia (K.L. Anders)

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Figure 6

Spatial coherence in the magnitude (A and B) and timing (C and D) of dengue epidemics in southern Vietnam. District data are shown in the upper panels A and C, and province data in the lower panels B and D. Solid lines represent the correlation between provinces/districts as a function of the distance between the centroids of those provinces/districts, in kilometers. Dashed lines represent 95% CIs, and the horizontal line is the overall correlation across southern Vietnam. Coherence in the magni

Figure 6. . Spatial coherence in the magnitude (A and B) and timing (C and D) of dengue epidemics in southern Vietnam. District data are shown in panels A and C, and province data in panels B and D. Solid lines represent the correlation between provinces/districts as a function of the distance between the centroids of those provinces/districts, in kilometers. Dashed lines represent 95% CIs, and the horizontal line is the overall correlation across southern Vietnam. Coherence in the magnitude and timing of epidemics was measured by pairwise correlation between provinces/districts in their standardized square root–transformed annual incidence and monthly phase series, respectively.

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