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. 2015 Dec 8;135(7):1903–1905. doi: 10.1038/jid.2015.93

Table 1.

Correlation between GT and CDC geographic and temporal data

a. Lyme Disease Ehrlichiosis RMSF Coccidioidomycosis
Pearson’s r 0.6912 0.5926 0.4572 0.4169
95% confidence interval 0.5471–0.7955 0.4184–0.7248 0.2521–0.6229 0.1822–0.6066
P-value (two-tailed) <0.0001 <0.0001 <0.0001 0.0009
b. 2012 2011 2010 2009 2008 2007
Lyme disease 0.7444 0.7505 0.6104 0.6855 0.6095 0.7194
P-value (two-tailed) <0.0001 <0.0001 <0.0001 <0.0001 <0.0001 <0.0001
Ehrlichiosis 0.3231
P-value (two-tailed) 0.0346
RMSF 0.6386 0.5938 0.3865 0.3184 0.2904 0.06475
P-value (two-tailed) <0.0001 <0.0001 0.0061 0.0258 0.043 0.6654
Coccidioidomycosis 0.4813 0.4907
P-value (two-tailed) 0.0173 0.0174

Abbreviations: CDC, Center for Disease Control; GT, Google Trends; MMWR, Morbidity And Mortality Weekly Report; RMSF, Rocky Mountain spotted fever.

Table 1a. Pearson’s correlation coefficients and P-values derived from the comparison of cumulative GT search data and CDC MMWR monthly reports for the listed diseases between 2007 and 2012. b. Spearman’s rank correlation coefficients and P-values derived from the comparison of state-based GT search data in the mainland United States to the CDC MMWR monthly reports by state for each individual year listed. Inadequate frequency of searches for state-based subanalysis for Ehrlichiosis from 2007 to 2011 and for Coccidioidomycosis from 2007 to 2010.