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. Eiras
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)
Figure 5. . . Effectiveness of Monitoramento Inteligente da Dengue (Intelligent Dengue Monitoring System [MID]), Minas Gerais, Brazil, mid-2009–mid-2011. Predicted number of dengue fever cases prevented per year during the time of MID are plotted against the annual incidence of dengue fever cases in each city during the same time. A total of 27,191 cases were prevented. Cases prevented/year = predicted cases in the absence of MID (E) – observed annual cases (O), where Ei = diOi(1 – Oi/Ki), d is the difference between median relative difference (RI) in incidence in control cities (mean 1,000 datasets) minus the RI in each treatment city, and K is 30% of the population size in city i. Error bars indicate 2 SE of the number of predicted cases that were prevented (points without bars are shown because the SEs are smaller than the size of the point). Shaded symbols distinguish population size classes as follows: black circles indicate 18,000–21,000; gray circles indicate 35,000–60,000; white circles indicate 70,000–90,000; triangles indicate 100,000–140,000; squares indicate 150,000–300,000.
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