A Model for the Determination of Pollen Count Using Google Search Queries for Patients Suffering from Allergic Rhinitis

Table 2

Results of cross-correlations for the Wiesbaden study centre.

Subgroup 1; Averaged CSMS; (𝑛=22)

Subgroup 2; IgE ≥ class III (3.5 kU/L); (𝑛=17)

Subgroup 2; IgE < class III (3.5 kU/L); (𝑛=5)

Subgroup 3; Asthma; (𝑛=2)

Subgroup 3; No asthma; (𝑛=20)

Subgroup 4; CSMS ≥ 50% of mean; (𝑛=17)

Subgroup 4; CSMS < 50% of mean; (𝑛=5)

CCF

lag

SE

𝑃 value

CCF

lag

SE

𝑃 value

CCF

lag

SE

𝑃 value

CCF

lag

SE

𝑃 value

CCF

lag

SE

𝑃 value

CCF

lag

SE

𝑃 value

CCF

lag

SE

𝑃 value

Grass pollen count Heidelberg

0.495

0

0.107

<0.001

0.492

−1

0.108

<0.001

0.321

−7

0.112

<0.01

0.574

−2

0.108

<0.001

0.441

0

0.107

<0.001

0.511

0

0.107

<0.001

0.300

−5

0.110

<0.01

Keyword-combination (1) HE

0.766

−1

0.106

<0.001

0.753

−1

0.106

<0.001

0.352

−4

0.108

<0.01

0.726

−1

0.105

<0.001

0.685

−1

0.106

<0.001

0.728

−1

0.106

<0.001

0.524

−1

0.106

<0.001

Keyword-combination (2) HE

0.766

−1

0.106

<0.001

0.748

−1

0.106

<0.001

0.336

−4

0.108

<0.01

0.743

−1

0.106

<0.001

0.680

−1

0.106

<0.001

0.752

−1

0.106

<0.001

0.400

−1

0.106

<0.001