Table 1 Pearson correlation coefficients between ‘AIDS Prevalence’ and ‘AIDS (Search Term)’ and ‘AIDS (Illness)’ from January 2004 to December 2015
From: Forecasting AIDS prevalence in the United States using online search traffic data
AIDS (search term) | AIDS (illness) | AIDS (search term) | AIDS (illness) | AIDS (search term) | AIDS (illness) | |||
|---|---|---|---|---|---|---|---|---|
AL | − 0.8731 | − 0.9099 | KY | − 0.9521 | − 0.9302 | ND | − 0.7700 | − 0.8425 |
AK | − 0.8568 | − 0.9003 | LA | − 0.8049 | − 0.8713 | OH | − 0.9231 | − 0.9311 |
AZ | − 0.8319 | − 0.8386 | ME | − 0.8993 | − 0.9376 | OK | − 0.8958 | − 0.9137 |
AR | − 0.9096 | − 0.9223 | MD | − 0.9554 | − 0.9519 | OR | − 0.9316 | − 0.9040 |
CA | − 0.9716 | − 0.9710 | MA | − 0.9577 | − 0.9550 | PA | − 0.9713 | − 0.9909 |
CO | − 0.9289 | − 0.9570 | MI | − 0.9894 | − 0.9936 | RI | − 0.9830 | − 0.9572 |
CT | − 0.8418 | − 0.8244 | MN | − 0.9335 | − 0.9460 | SC | − 0.8690 | − 0.9142 |
DE | − 0.9022 | − 0.8641 | MS | − 0.8308 | − 0.8752 | SD | − 0.8308 | − 0.8227 |
DC | − 0.9174 | − 0.9164 | MO | − 0.9627 | − 0.9651 | TN | − 0.9034 | − 0.9340 |
FL | − 0.9463 | − 0.9444 | MT | − 0.8317 | − 0.8975 | TX | − 0.9135 | − 0.9174 |
GA | − 0.8951 | − 0.8851 | NE | − 0.9429 | − 0.8986 | UT | − 0.8004 | − 0.8384 |
HI | − 0.8978 | − 0.8976 | NV | − 0.8408 | − 0.9104 | VT | − 0.8266 | − 0.8376 |
ID | − 0.8227 | − 0.8233 | NH | − 0.9074 | − 0.9626 | VA | − 0.8710 | − 0.9375 |
IL | − 0.9689 | − 0.9714 | NJ | − 0.9794 | − 0.9804 | WA | − 0.9575 | − 0.9530 |
IN | − 0.9290 | − 0.9265 | NM | − 0.8858 | − 0.8354 | WV | − 0.7816 | − 0.8241 |
IA | − 0.9550 | − 0.9519 | NY | − 0.9890 | − 0.9926 | WI | − 0.9298 | − 0.9313 |
KS | − 0.9396 | − 0.9191 | NC | − 0.9308 | − 0.9402 | WY | − 0.9393 | − 0.8585 |