This is a table of adjective/noun combinations and their frequencies from sentences in your study carrel. Use it to search & browse the list to learn more about your study carrel.
adjective | noun | frequency |
---|---|---|
public | health | 238 |
digital | contact | 108 |
infectious | disease | 103 |
infectious | diseases | 101 |
- | contact | 91 |
close | contacts | 76 |
average | number | 68 |
- | tracing | 66 |
close | contact | 65 |
social | contact | 65 |
social | contacts | 65 |
total | number | 57 |
effective | contact | 56 |
infected | individuals | 38 |
covid-19 | epidemic | 38 |
infected | individual | 35 |
covid-19 | cases | 34 |
- | time | 33 |
covid-19 | contact | 31 |
large | number | 31 |
physical | contacts | 31 |
- | case | 29 |
same | time | 29 |
covid-19 | transmission | 26 |
digital | tracing | 25 |
infectious | individuals | 24 |
human | contact | 23 |
many | people | 22 |
physical | contact | 22 |
infected | people | 21 |
other | users | 20 |
available | data | 18 |
- | users | 17 |
total | population | 17 |
infected | user | 15 |
new | cases | 15 |
social | networks | 15 |
- | groups | 14 |
many | contacts | 13 |
average | infections | 13 |
different | age | 12 |
infected | users | 12 |
other | devices | 12 |
social | network | 12 |
infected | cases | 11 |
new | case | 11 |
new | infections | 11 |
other | patients | 11 |
specific | contact | 11 |
total | contacts | 11 |
other | contacts | 10 |
other | groups | 10 |
such | apps | 10 |
more | contacts | 10 |
high | number | 10 |
- | group | 9 |
- | user | 9 |
covid-19 | infections | 9 |
different | contact | 9 |
high | population | 9 |
infectious | individual | 9 |
infected | patients | 8 |
large | numbers | 8 |
infectious | contact | 8 |
such | measures | 8 |
first | case | 8 |
covid-19 | patients | 8 |
covid-19 | infection | 8 |
- | population | 7 |
- | populations | 7 |
effective | number | 7 |
infected | contacts | 7 |
more | people | 7 |
other | individuals | 7 |
other | measures | 7 |
other | people | 7 |
possible | contacts | 7 |
potential | contacts | 6 |
such | information | 6 |
such | data | 6 |
specific | contacts | 6 |
larger | numbers | 6 |
- | patient | 6 |
important | groups | 6 |
digital | system | 6 |
infectious | people | 6 |
more | data | 5 |
same | day | 5 |
potential | contact | 5 |
possible | contact | 5 |
other | studies | 5 |
larger | number | 5 |
large | population | 5 |
different | users | 5 |
- | aged | 5 |
specific | infection | 4 |
low | number | 4 |
low | numbers | 4 |
other | health | 4 |
potential | transmission | 4 |
same | age | 4 |
infected | patient | 4 |
specific | population | 4 |
specific | transmission | 4 |
such | cases | 4 |
total | cases | 4 |
total | contact | 4 |
total | infections | 4 |
infectious | patients | 4 |
average | contacts | 4 |
high | rate | 4 |
different | groups | 4 |
high | contact | 4 |
- | contacts | 4 |
- | device | 4 |
covid-19 | patient | 4 |
different | days | 4 |
- | age | 4 |
different | population | 4 |
different | time | 4 |
different | transmission | 4 |
first | day | 4 |
first | time | 4 |
other | age | 3 |
many | contact | 3 |
many | infections | 3 |
many | times | 3 |
more | contact | 3 |
more | devices | 3 |
more | individuals | 3 |
new | infection | 3 |
specific | time | 3 |
other | apps | 3 |
other | information | 3 |
potential | users | 3 |
same | number | 3 |
specific | data | 3 |
large | populations | 3 |
such | devices | 3 |
such | patients | 3 |
largest | number | 3 |
possible | transmission | 3 |
infectious | rate | 3 |
high | numbers | 3 |
- | health | 3 |
available | contact | 3 |
covid-19 | apps | 3 |
covid-19 | tracing | 3 |
digital | disease | 3 |
effective | covid-19 | 3 |
first | model | 3 |
different | times | 3 |
high | transmission | 3 |
higher | number | 3 |
higher | transmission | 3 |
highest | number | 3 |
human | contacts | 3 |
infected | population | 3 |
infectious | cases | 3 |
infectious | contacts | 3 |
more | patients | 2 |
other | data | 2 |
other | contact | 2 |
other | cases | 2 |
new | population | 2 |
new | patients | 2 |
new | disease | 2 |
more | transmission | 2 |
lower | number | 2 |
more | infections | 2 |
many | days | 2 |
many | cases | 2 |
many | apps | 2 |
lower | rates | 2 |
low | infection | 2 |
lower | rate | 2 |
other | models | 2 |
other | diseases | 2 |
specific | device | 2 |
possible | infection | 2 |
potential | infection | 2 |
total | time | 2 |
total | numbers | 2 |
such | systems | 2 |
such | study | 2 |
such | models | 2 |
such | contacts | 2 |
such | case | 2 |
specific | number | 2 |
specific | individuals | 2 |
specific | app | 2 |
specific | age | 2 |
social | studies | 2 |
same | disease | 2 |
same | device | 2 |
potential | transmissions | 2 |
low | rate | 2 |
large | groups | 2 |
low | epidemic | 2 |
effective | epidemic | 2 |
digital | apps | 2 |
digital | app | 2 |
different | tracing | 2 |
different | systems | 2 |
different | patients | 2 |
different | models | 2 |
different | devices | 2 |
different | apps | 2 |
average | contact | 2 |
- | transmission | 2 |
- | patients | 2 |
- | model | 2 |
- | infection | 2 |
- | app | 2 |
largest | user | 2 |
digital | health | 2 |
different | number | 2 |
effective | tracing | 2 |
human | health | 2 |
effective | transmission | 2 |
large | contact | 2 |
infectious | time | 2 |
infectious | patient | 2 |
infected | case | 2 |
human | transmission | 2 |
human | infection | 2 |
important | group | 2 |
human | cases | 2 |
large | networks | 2 |
higher | infection | 2 |
higher | contact | 2 |
high | rates | 2 |
first | study | 2 |
first | cases | 2 |
other | epidemics | 1 |
new | groups | 1 |
new | individuals | 1 |
new | information | 1 |
new | model | 1 |
new | system | 1 |
other | ages | 1 |
physical | health | 1 |
other | group | 1 |
other | individual | 1 |
other | infections | 1 |
other | network | 1 |
other | patient | 1 |
other | systems | 1 |
physical | case | 1 |
new | covid-19 | 1 |
new | devices | 1 |
low | transmission | 1 |
new | contact | 1 |
more | users | 1 |
possible | health | 1 |
lower | case | 1 |
lower | contact | 1 |
lower | epidemic | 1 |
lower | numbers | 1 |
lower | user | 1 |
lowest | number | 1 |
many | app | 1 |
many | diseases | 1 |
many | epidemic | 1 |
many | groups | 1 |
many | studies | 1 |
more | device | 1 |
more | health | 1 |
more | information | 1 |
physical | systems | 1 |
same | population | 1 |
possible | measures | 1 |
specific | models | 1 |
social | systems | 1 |
specific | days | 1 |
specific | epidemic | 1 |
specific | individual | 1 |
specific | information | 1 |
specific | measures | 1 |
specific | model | 1 |
such | individuals | 1 |
possible | users | 1 |
such | model | 1 |
such | network | 1 |
such | networks | 1 |
such | people | 1 |
such | studies | 1 |
such | users | 1 |
total | case | 1 |
social | groups | 1 |
same | user | 1 |
same | times | 1 |
low | contact | 1 |
potential | app | 1 |
potential | epidemic | 1 |
potential | health | 1 |
potential | user | 1 |
public | contacts | 1 |
public | information | 1 |
public | transmissions | 1 |
same | contact | 1 |
same | data | 1 |
same | group | 1 |
same | groups | 1 |
same | individual | 1 |
same | infection | 1 |
same | measure | 1 |
same | patient | 1 |
low | health | 1 |
important | measure | 1 |
low | case | 1 |
different | epidemic | 1 |
covid-19 | diseases | 1 |
covid-19 | epidemics | 1 |
covid-19 | transmissions | 1 |
different | ages | 1 |
different | cases | 1 |
different | covid-19 | 1 |
different | disease | 1 |
different | individuals | 1 |
largest | epidemic | 1 |
different | information | 1 |
different | measures | 1 |
different | network | 1 |
different | networks | 1 |
different | numbers | 1 |
different | people | 1 |
different | study | 1 |
covid-19 | data | 1 |
closer | contacts | 1 |
averaging | age | 1 |
average | time | 1 |
- | ages | 1 |
- | contacting | 1 |
- | day | 1 |
- | days | 1 |
- | epidemic | 1 |
- | individual | 1 |
- | measures | 1 |
- | study | 1 |
available | apps | 1 |
available | case | 1 |
available | measures | 1 |
average | individual | 1 |
average | infection | 1 |
average | rate | 1 |
average | rates | 1 |
digital | data | 1 |
digital | measures | 1 |
digital | systems | 1 |
important | individuals | 1 |
infected | contact | 1 |
infected | number | 1 |
infected | populations | 1 |
infectious | epidemic | 1 |
infectious | population | 1 |
large | data | 1 |
large | epidemic | 1 |
large | network | 1 |
large | transmission | 1 |
larger | age | 1 |
larger | contact | 1 |
larger | epidemic | 1 |
larger | population | 1 |
larger | populations | 1 |
largest | contact | 1 |
important | information | 1 |
human | studies | 1 |
effective | contacts | 1 |
human | populations | 1 |
effective | data | 1 |
effective | measure | 1 |
first | contact | 1 |
first | contacts | 1 |
first | epidemic | 1 |
first | measure | 1 |
higher | numbers | 1 |
higher | population | 1 |
higher | rate | 1 |
highest | ages | 1 |
highest | contact | 1 |
highest | population | 1 |
highest | rates | 1 |
human | infections | 1 |
human | population | 1 |
total | transmissions | 1 |