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 | 622 |
infectious | diseases | 182 |
- | level | 144 |
new | cases | 98 |
- | time | 95 |
covid-19 | cases | 95 |
infectious | disease | 81 |
- | risk | 66 |
medical | care | 47 |
- | care | 42 |
many | countries | 39 |
other | countries | 37 |
humans | . | 32 |
local | community | 31 |
urban | health | 31 |
others | . | 31 |
global | health | 31 |
- | state | 31 |
- | health | 30 |
first | case | 28 |
available | . | 27 |
- | use | 26 |
high | risk | 26 |
many | years | 25 |
large | number | 24 |
public | . | 24 |
high | levels | 22 |
available | data | 21 |
human | health | 21 |
many | cases | 21 |
other | . | 20 |
- | year | 20 |
urban | system | 18 |
covid-19 | infection | 18 |
low | levels | 18 |
- | analysis | 17 |
covid-19 | . | 17 |
high | level | 17 |
important | . | 17 |
new | infections | 17 |
new | virus | 17 |
other | studies | 17 |
large | numbers | 17 |
- | case | 16 |
different | countries | 16 |
human | population | 16 |
local | communities | 16 |
specific | health | 15 |
first | time | 15 |
different | levels | 14 |
higher | risk | 14 |
many | people | 14 |
new | infection | 14 |
other | health | 14 |
urban | communities | 14 |
clinical | use | 13 |
high | . | 13 |
highest | number | 13 |
local | health | 13 |
local | level | 13 |
low | . | 13 |
other | diseases | 13 |
low | population | 12 |
covid-19 | infections | 12 |
human | cases | 11 |
other | viruses | 11 |
- | new | 10 |
local | data | 10 |
more | . | 10 |
more | time | 10 |
new | viruses | 10 |
other | groups | 10 |
other | people | 10 |
other | states | 10 |
social | systems | 10 |
environmental | health | 10 |
human | disease | 9 |
urban | populations | 9 |
new | model | 9 |
highest | risk | 9 |
greater | risk | 9 |
new | diseases | 9 |
- | infection | 8 |
different | . | 8 |
earlier | . | 8 |
early | years | 8 |
higher | levels | 8 |
human | infections | 8 |
medical | health | 8 |
new | risks | 8 |
other | community | 8 |
social | groups | 8 |
large | . | 7 |
low | number | 7 |
local | people | 7 |
human | infection | 7 |
greater | numbers | 7 |
global | level | 7 |
human | populations | 6 |
such | cases | 6 |
specific | diseases | 6 |
other | cases | 6 |
lower | levels | 6 |
low | risk | 6 |
low | numbers | 6 |
new | . | 6 |
higher | number | 6 |
high | population | 6 |
environmental | risks | 6 |
clinical | virus | 6 |
clinical | studies | 6 |
clinical | cases | 6 |
- | group | 6 |
higher | level | 6 |
new | risk | 5 |
more | cases | 5 |
more | people | 5 |
new | disease | 5 |
new | health | 5 |
specific | viruses | 5 |
other | disease | 5 |
other | infections | 5 |
specific | disease | 5 |
lower | risk | 5 |
many | . | 5 |
low | level | 5 |
covid-19 | disease | 5 |
human | case | 5 |
higher | . | 5 |
high | number | 5 |
high | case | 5 |
greater | use | 5 |
greater | health | 5 |
early | case | 5 |
different | time | 5 |
clinical | disease | 5 |
local | population | 5 |
- | disease | 5 |
new | data | 4 |
other | rabbits | 4 |
other | models | 4 |
new | case | 4 |
natural | systems | 4 |
more | data | 4 |
social | health | 4 |
other | risk | 4 |
urban | studies | 4 |
social | risk | 4 |
specific | risk | 4 |
such | data | 4 |
such | studies | 4 |
such | systems | 4 |
many | times | 4 |
medical | community | 4 |
many | communities | 4 |
many | states | 4 |
greatest | number | 4 |
- | country | 4 |
- | states | 4 |
covid-19 | case | 4 |
different | groups | 4 |
economic | system | 4 |
first | year | 4 |
global | community | 4 |
early | . | 4 |
greatest | risk | 4 |
high | numbers | 4 |
human | diseases | 4 |
large | populations | 4 |
larger | number | 4 |
lower | population | 4 |
other | populations | 3 |
local | levels | 3 |
local | populations | 3 |
local | state | 3 |
lowest | number | 3 |
many | health | 3 |
many | viruses | 3 |
more | health | 3 |
new | system | 3 |
other | communities | 3 |
important | health | 3 |
other | study | 3 |
other | virus | 3 |
specific | . | 3 |
specific | case | 3 |
specific | infection | 3 |
such | models | 3 |
such | people | 3 |
such | risks | 3 |
urban | community | 3 |
local | . | 3 |
local | infection | 3 |
earlier | studies | 3 |
large | group | 3 |
early | studies | 3 |
- | model | 3 |
infectious | cases | 3 |
clinical | care | 3 |
covid-19 | data | 3 |
different | health | 3 |
different | studies | 3 |
different | systems | 3 |
different | times | 3 |
- | virus | 3 |
economic | systems | 3 |
global | system | 3 |
infectious | . | 3 |
highest | population | 3 |
high | health | 3 |
human | use | 3 |
first | use | 3 |
first | level | 3 |
first | cases | 3 |
many | community | 2 |
medical | system | 2 |
medical | group | 2 |
many | studies | 2 |
many | state | 2 |
many | new | 2 |
many | groups | 2 |
many | diseases | 2 |
lower | case | 2 |
lower | populations | 2 |
lower | level | 2 |
lower | health | 2 |
more | times | 2 |
lower | . | 2 |
low | community | 2 |
local | groups | 2 |
largest | group | 2 |
more | risk | 2 |
large | population | 2 |
natural | disease | 2 |
public | use | 2 |
such | use | 2 |
such | times | 2 |
such | risk | 2 |
specific | years | 2 |
specific | group | 2 |
specific | cases | 2 |
social | model | 2 |
other | state | 2 |
new | community | 2 |
other | population | 2 |
other | numbers | 2 |
other | model | 2 |
other | group | 2 |
other | country | 2 |
new | uses | 2 |
new | models | 2 |
larger | population | 2 |
global | . | 2 |
large | groups | 2 |
clinical | data | 2 |
different | risk | 2 |
different | populations | 2 |
different | peoples | 2 |
different | level | 2 |
different | data | 2 |
covid-19 | community | 2 |
clinical | health | 2 |
- | times | 2 |
different | viruses | 2 |
- | systems | 2 |
- | studies | 2 |
- | rabbit | 2 |
- | population | 2 |
- | people | 2 |
- | groups | 2 |
large | community | 2 |
different | states | 2 |
- | years | 2 |
earlier | times | 2 |
high | risks | 2 |
large | communities | 2 |
early | et | 2 |
infectious | people | 2 |
infectious | case | 2 |
human | groups | 2 |
higher | infection | 2 |
high | time | 2 |
human | communities | 2 |
great | numbers | 2 |
great | number | 2 |
global | risks | 2 |
first | group | 2 |
first | . | 2 |
high | infection | 2 |
environmental | risk | 2 |
early | times | 2 |
lower | state | 1 |
many | disease | 1 |
many | models | 1 |
many | levels | 1 |
many | infections | 1 |
lowest | population | 1 |
lowest | risk | 1 |
lower | use | 1 |
many | systems | 1 |
many | risk | 1 |
more | uses | 1 |
many | used | 1 |
medical | . | 1 |
medical | groups | 1 |
more | analyses | 1 |
more | disease | 1 |
more | diseases | 1 |
more | level | 1 |
more | years | 1 |
natural | . | 1 |
lower | cases | 1 |
lower | infection | 1 |
large | country | 1 |
low | risks | 1 |
low | populations | 1 |
important | use | 1 |
infectious | virus | 1 |
large | cases | 1 |
natural | risk | 1 |
large | new | 1 |
large | states | 1 |
large | studies | 1 |
large | study | 1 |
larger | community | 1 |
larger | level | 1 |
larger | studies | 1 |
larger | system | 1 |
largest | number | 1 |
largest | numbers | 1 |
local | case | 1 |
local | cases | 1 |
local | new | 1 |
local | time | 1 |
low | case | 1 |
natural | infection | 1 |
other | times | 1 |
natural | state | 1 |
such | case | 1 |
social | group | 1 |
social | system | 1 |
social | time | 1 |
specific | groups | 1 |
specific | infections | 1 |
specific | number | 1 |
specific | virus | 1 |
such | analyses | 1 |
such | care | 1 |
such | communities | 1 |
new | analyses | 1 |
such | diseases | 1 |
such | groups | 1 |
such | levels | 1 |
such | model | 1 |
such | states | 1 |
urban | . | 1 |
urban | disease | 1 |
urban | groups | 1 |
urban | population | 1 |
social | care | 1 |
social | analysis | 1 |
public | new | 1 |
public | model | 1 |
new | countries | 1 |
new | group | 1 |
new | groups | 1 |
new | level | 1 |
new | rabbits | 1 |
new | state | 1 |
new | time | 1 |
new | use | 1 |
newer | communities | 1 |
other | data | 1 |
other | level | 1 |
other | levels | 1 |
other | new | 1 |
other | system | 1 |
other | time | 1 |
important | risk | 1 |
other | use | 1 |
others | states | 1 |
public | data | 1 |
important | risks | 1 |
high | community | 1 |
important | diseases | 1 |
earliest | . | 1 |
different | diseases | 1 |
different | models | 1 |
different | people | 1 |
different | state | 1 |
different | system | 1 |
different | use | 1 |
different | uses | 1 |
earlier | study | 1 |
earlier | time | 1 |
early | analysis | 1 |
important | disease | 1 |
early | care | 1 |
early | community | 1 |
early | data | 1 |
early | infection | 1 |
early | infections | 1 |
early | risks | 1 |
early | state | 1 |
early | time | 1 |
early | use | 1 |
different | community | 1 |
different | communities | 1 |
different | analyses | 1 |
covid-19 | using | 1 |
- | . | 1 |
- | countries | 1 |
- | grouped | 1 |
- | infections | 1 |
- | populations | 1 |
- | rabbits | 1 |
- | studied | 1 |
- | study | 1 |
- | system | 1 |
- | used | 1 |
- | uses | 1 |
- | using | 1 |
available | case | 1 |
available | health | 1 |
clinical | case | 1 |
clinical | diseases | 1 |
clinical | populations | 1 |
covid-19 | health | 1 |
covid-19 | risk | 1 |
economic | analysis | 1 |
economic | group | 1 |
economic | model | 1 |
greater | new | 1 |
greater | population | 1 |
greatest | . | 1 |
greatest | health | 1 |
high | country | 1 |
high | times | 1 |
high | use | 1 |
higher | case | 1 |
higher | populations | 1 |
highest | country | 1 |
highest | level | 1 |
highest | numbers | 1 |
highest | people | 1 |
human | . | 1 |
human | community | 1 |
human | data | 1 |
human | level | 1 |
human | studies | 1 |
human | viruses | 1 |
important | data | 1 |
greater | number | 1 |
greater | level | 1 |
economic | models | 1 |
greater | . | 1 |
economics | . | 1 |
environmental | data | 1 |
environmental | disease | 1 |
environmental | groups | 1 |
environmental | studies | 1 |
first | groups | 1 |
first | infection | 1 |
first | model | 1 |
first | people | 1 |
first | studies | 1 |
first | study | 1 |
global | cases | 1 |
global | disease | 1 |
global | levels | 1 |
global | population | 1 |
global | risk | 1 |
global | studies | 1 |
great | . | 1 |
great | risk | 1 |
urban | use | 1 |