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Volume 19, Number 4—April 2013

Research

Cost-effectiveness of Novel System of Mosquito Surveillance and Control, Brazil

Kim M. Pepin, Cecilia Marques-Toledo, Luciano Scherer, Maira M. Morais, Brett Ellis, and Alvaro E. EirasComments to Author 
Author affiliations: National Institutes of Health, Bethesda, Maryland, USA (K.M. Pepin); Colorado State University, Fort Collins, Colorado, USA (K.M. Pepin); Ecovec SA, Belo Horizonte, Brazil (C. Marques-Toledo, L. Scherer); Universidade Federal de Minas Gerais, Belo Horizonte (M.M. Morais, A.E. Eiras); Duke–National University of Singapore Graduate Medical School, Singapore (B. Ellis)

Main Article

Figure 1

Spatial distribution of 21 cities tested with Monitoramento Inteligente da Dengue (Intelligent Dengue Monitoring System [MID]), Minas Gerais, Brazil, 2009–2011. A). Size of city centroids (n = 218) (circles) is proportional to population size. B) Size of city centroids (n = 147) (circles) is proportional to total dengue fever incidence during 2007–2011. Gray circles indicate cities that never implemented MID, and black circles indicate cities that implemented MID during mid-2009–June 2011. Areas

Figure 1. . . Spatial distribution of 21 cities tested with Monitoramento Inteligente da Dengue (Intelligent Dengue Monitoring System [MID]), Minas Gerais, Brazil, 2009–2011. A). Size of city centroids (n = 218) (circles) is proportional to population size. B) Size of city centroids (n = 147) (circles) is proportional to total dengue fever incidence during 2007–2011. Gray circles indicate cities that never implemented MID, and black circles indicate cities that implemented MID during mid-2009–June 2011. Areas of higher and lower total incidence are positively clustered with each other (Moran’s I, p<0.0001). Cities that implemented MID and those that had not implemented MID are distributed throughout areas of high and low incidence. Only cities with populations >15,000 are shown. Incidence data were not available for all cities.

Main Article

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