1 | and other community support | | | | | | | 2 | 0.31% |
2 | user behavior in real | | | | | | | 2 | 0.31% |
3 | for each user vitalyst | | | | | | | 2 | 0.31% |
4 | each user vitalyst identifies | | | | | | | 2 | 0.31% |
5 | user vitalyst identifies situations | | | | | | | 2 | 0.31% |
6 | to induce healthy user | | | | | | | 2 | 0.31% |
7 | induce healthy user behavior | | | | | | | 2 | 0.31% |
8 | healthy user behavior in | | | | | | | 2 | 0.31% |
9 | challenges to induce healthy | | | | | | | 2 | 0.31% |
10 | communities of their peers | | | | | | | 1 | 0.16% |
11 | their area opening hours | | | | | | | 1 | 0.16% |
12 | can help people from | | | | | | | 1 | 0.16% |
13 | vitalyst can help people | | | | | | | 1 | 0.16% |
14 | with its wellness functionality | | | | | | | 1 | 0.16% |
15 | together with its wellness | | | | | | | 1 | 0.16% |
16 | more together with its | | | | | | | 1 | 0.16% |
17 | and more together with | | | | | | | 1 | 0.16% |
18 | times and more together | | | | | | | 1 | 0.16% |
19 | wait times and more | | | | | | | 1 | 0.16% |
20 | area opening hours queue | | | | | | | 1 | 0.16% |
21 | in their area opening | | | | | | | 1 | 0.16% |
22 | people from all communities | | | | | | | 1 | 0.16% |
23 | establishments in their area | | | | | | | 1 | 0.16% |
24 | about establishments in their | | | | | | | 1 | 0.16% |
25 | information about establishments in | | | | | | | 1 | 0.16% |
26 | jeffrey a weisz md | | | | | | | 1 | 0.16% |
27 | while benefitting from localised | | | | | | | 1 | 0.16% |
28 | exposure while benefitting from | | | | | | | 1 | 0.16% |
29 | avoid exposure while benefitting | | | | | | | 1 | 0.16% |
30 | users avoid exposure while | | | | | | | 1 | 0.16% |
31 | to feel empowered by | | | | | | | 1 | 0.16% |
32 | feel empowered by real | | | | | | | 1 | 0.16% |
33 | help people from all | | | | | | | 1 | 0.16% |
34 | from all communities get | | | | | | | 1 | 0.16% |
35 | smartphone users avoid exposure | | | | | | | 1 | 0.16% |
36 | tech and deploy at | | | | | | | 1 | 0.16% |
37 | covid hotspots in your | | | | | | | 1 | 0.16% |
38 | relevant covid hotspots in | | | | | | | 1 | 0.16% |
39 | identify relevant covid hotspots | | | | | | | 1 | 0.16% |
40 | to identify relevant covid | | | | | | | 1 | 0.16% |