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Additional seasonal analyses by region demonstrated that the mean Google Flu Trends-CDC Virus Surveillance correlation coefficient was consistently below the mean correlation between CDC ILI Surveillance and the reference standard by US Census Region (Table S4).
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We implemented a model of active epidemiological surveillance, with correlation of all factors, including new and old cases, based on monthly data reporting frequency.
As a rise in retail sales might be expected to occur before an outbreak is detected through healthcare-based surveillance cross correlation with weekly time lags was also performed.
Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection).
This analysis demonstrates that while Google Flu Trends is highly correlated with rates of ILI, it has a lower correlation with surveillance for laboratory-confirmed influenza.
Studies of systems that use such broad categories for ILI surveillance have yielded lower correlation of ICD-9 data with mortality and laboratory-based data (24 ).
Although reporting bias of WNV non-neuroinvasive cases is a potential concern for this type of passive surveillance, a strong spatial correlation between total reported WNV cases and neuroinvasive cases was reported in a previous study.
During the 2007 08 influenza season, Google Flu Trends estimates were highly correlated to CDC surveillance for ILI, with a mean correlation coefficient over nine US Census Regions of 0.97 [2].
An analysis was performed to investigate outlier observations and determine the extent to which they affected the correlations between surveillance data.
This method cannot provide sufficient embedding capacity for our application because surveillance videos have high temporal correlation with a very large fraction of DCT coefficients being zero in the intercoded frames.
Although purely based on land use correlation and bird surveillance, these results show an association between mixed farming and favourable conservation status of a species now red-listed throughout much of Europe.
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