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Volume 19, Number 8—August 2013

Research

Emergency Department Visit Data for Rapid Detection and Monitoring of Norovirus Activity, United States

Brian RhaComments to Author , Sherry Burrer, Soyoun Park, Tarak Trivedi, Umesh D. Parashar, and Benjamin A. Lopman
Author affiliations: Centers for Disease Control and Prevention, Atlanta, Georgia, USA (B. Rha, S. Burrer, S. Park, T. Trivedi, U.D. Parashar, B.A. Lopman); McKing Consulting Corporation, Atlanta (S. Park)

Main Article

Figure 3

Correlation between the proportion of BioSense emergency department (ED) visits mapped by chief complaint to diarrhea subsyndrome and norovirus outbreaks as a function of total BioSense ED visits per month state-specific data for the 6 states analyzed, United States, January 2007–April 2010. Correlation coefficients for each category are plotted by corresponding total ED visits/month on a logarithmic scale. Models tended to perform better in states with greater total ED visits. Higher correlatio

Figure 3. . . Correlation between the proportion of BioSense emergency department (ED) visits mapped by chief complaint to diarrhea subsyndrome and norovirus outbreaks as a function of total BioSense ED visits per month using state-specific data for the 6 states analyzed, United States, January 2007–April 2010. Correlation coefficients for each state are plotted by corresponding total ED visits/month on a logarithmic scale. Models tended to perform better in states with greater total ED visits. Higher correlation (R>0.60) was observed for states with >5,000 BioSense ED visits/month. State number labels on data points correspond to those in Table 2.

Main Article

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