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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 4

Correlation across provinces (A) or districts (B) between annual dengue incidence and variation in epidemic timing. Epidemic timing represents the pairwise interprovince or interdistrict delay between wavelet transformed annual dengue time series. The variation in epidemic timing is significantly correlated with the overall magnitude of transmission in that year; there is less variation (i.e., more synchrony) in the timing of dengue epidemics across southern Vietnam in high-incidence years than

Figure 4. . Correlation across provinces (A) or districts (B) between annual dengue incidence and variation in epidemic timing. Epidemic timing represents the pairwise interprovince or interdistrict delay between wavelet transformed annual dengue time series. The variation in epidemic timing is significantly correlated with the overall magnitude of transmission in that year; there is less variation (i.e., more synchrony) in the timing of dengue epidemics across southern Vietnam in high-incidence years than in low-incidence years

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