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 |
---|---|---|
mental | health | 144 |
public | health | 83 |
infectious | diseases | 65 |
covid-19 | pandemic | 61 |
- | patient | 53 |
covid-19 | outbreak | 53 |
- | patients | 47 |
covid-19 | patients | 47 |
infectious | disease | 46 |
respiratory | disease | 42 |
- | case | 40 |
covid-19 | cases | 34 |
total | number | 30 |
- | time | 23 |
human | cases | 21 |
infectious | virus | 20 |
covid-19 | infection | 19 |
infected | people | 17 |
other | countries | 17 |
respiratory | infections | 17 |
covid-19 | transmission | 16 |
human | transmission | 15 |
other | studies | 15 |
- | risk | 14 |
human | infection | 14 |
significant | factors | 14 |
human | health | 13 |
infected | cases | 13 |
infected | population | 13 |
rural | bangladesh | 13 |
many | countries | 12 |
high | risk | 12 |
highest | number | 12 |
total | population | 11 |
covid-19 | . | 10 |
others | . | 10 |
severe | patients | 10 |
positive | cases | 9 |
severe | cases | 9 |
- | analysis | 8 |
different | countries | 8 |
global | health | 8 |
low | . | 8 |
many | people | 8 |
severe | disease | 8 |
human | outbreaks | 7 |
infected | patients | 7 |
- | country | 7 |
global | pandemic | 7 |
- | bangladesh | 7 |
- | health | 6 |
large | number | 6 |
other | hospitals | 6 |
respiratory | infection | 6 |
significant | . | 6 |
higher | risk | 5 |
respiratory | viruses | 5 |
public | hospitals | 5 |
other | factors | 5 |
large | population | 5 |
covid-19 | lockdown | 5 |
higher | number | 5 |
- | virus | 5 |
available | . | 5 |
high | population | 5 |
infected | poultry | 4 |
similar | studies | 4 |
significant | number | 4 |
rural | people | 4 |
other | bat | 4 |
other | viruses | 4 |
infected | bats | 4 |
humans | . | 4 |
economic | factors | 4 |
daily | . | 4 |
covid-19 | outbreaks | 4 |
available | data | 4 |
many | patients | 3 |
total | cases | 3 |
such | viruses | 3 |
significant | risk | 3 |
public | . | 3 |
positive | case | 3 |
positive | . | 3 |
more | . | 3 |
more | people | 3 |
large | numbers | 3 |
human | . | 3 |
high | case | 3 |
different | risk | 3 |
different | outbreak | 3 |
different | factors | 3 |
covid-19 | infections | 3 |
covid-19 | disease | 3 |
human | population | 3 |
other | bats | 2 |
other | health | 2 |
other | case | 2 |
many | . | 2 |
other | . | 2 |
more | time | 2 |
many | cases | 2 |
other | models | 2 |
other | infections | 2 |
social | factors | 2 |
low | number | 2 |
rural | poultry | 2 |
similar | . | 2 |
similar | number | 2 |
total | covid-19 | 2 |
total | infections | 2 |
total | lockdown | 2 |
urban | bangladesh | 2 |
urban | poultry | 2 |
low | risk | 2 |
rural | health | 2 |
large | . | 2 |
different | viruses | 2 |
infectious | covid-19 | 2 |
- | outbreak | 2 |
covid-19 | numbers | 2 |
covid-19 | pandemics | 2 |
daily | covid-19 | 2 |
daily | data | 2 |
different | bat | 2 |
different | models | 2 |
different | times | 2 |
daily | cases | 2 |
global | data | 2 |
global | population | 2 |
higher | infection | 2 |
higher | population | 2 |
human | case | 2 |
human | infections | 2 |
infected | peoples | 2 |
global | lockdown | 2 |
infected | populations | 2 |
other | diseases | 1 |
more | transmission | 1 |
other | cases | 1 |
other | data | 1 |
other | disease | 1 |
other | virus | 1 |
other | model | 1 |
other | outbreaks | 1 |
other | patients | 1 |
positive | health | 1 |
positive | patients | 1 |
more | poultry | 1 |
more | studies | 1 |
lowest | . | 1 |
more | patients | 1 |
more | patient | 1 |
more | disease | 1 |
more | countries | 1 |
more | cases | 1 |
many | viruses | 1 |
many | studies | 1 |
many | bat | 1 |
lowest | number | 1 |
respiratory | virus | 1 |
lower | risk | 1 |
lower | health | 1 |
low | transmission | 1 |
public | risk | 1 |
similar | risk | 1 |
rural | hospitals | 1 |
such | bats | 1 |
urban | patients | 1 |
urban | hospital | 1 |
total | health | 1 |
total | disease | 1 |
total | case | 1 |
such | studies | 1 |
such | pandemics | 1 |
such | factors | 1 |
such | diseases | 1 |
such | data | 1 |
such | cases | 1 |
such | case | 1 |
social | studies | 1 |
severe | diseases | 1 |
social | health | 1 |
similar | viruses | 1 |
similar | virus | 1 |
similar | study | 1 |
low | case | 1 |
similar | infection | 1 |
similar | factors | 1 |
similar | data | 1 |
similar | countries | 1 |
significant | factor | 1 |
severe | infections | 1 |
severe | infection | 1 |
low | numbers | 1 |
infected | numbers | 1 |
largest | number | 1 |
covid-19 | patient | 1 |
global | case | 1 |
economic | lockdown | 1 |
economic | analysis | 1 |
different | time | 1 |
different | study | 1 |
different | populations | 1 |
different | outbreaks | 1 |
different | lockdown | 1 |
different | hospital | 1 |
different | . | 1 |
daily | number | 1 |
covid-19 | transmissions | 1 |
covid-19 | hospitals | 1 |
global | outbreak | 1 |
covid-19 | factors | 1 |
covid-19 | diseases | 1 |
covid-19 | case | 1 |
covid-19 | analysis | 1 |
avian | risk | 1 |
available | covid-19 | 1 |
- | transmission | 1 |
- | pandemic | 1 |
- | lockdown | 1 |
- | hospital | 1 |
- | covid-19 | 1 |
- | cases | 1 |
global | covid-19 | 1 |
high | . | 1 |
larger | time | 1 |
human | patients | 1 |
large | poultry | 1 |
large | populations | 1 |
large | outbreaks | 1 |
large | outbreak | 1 |
large | model | 1 |
infectious | time | 1 |
infectious | people | 1 |
infectious | outbreak | 1 |
infected | number | 1 |
infected | countries | 1 |
infected | bat | 1 |
human | transmissions | 1 |
human | disease | 1 |
high | disease | 1 |
highest | risk | 1 |
highest | numbers | 1 |
highest | infection | 1 |
highest | cases | 1 |
higher | covid-19 | 1 |
higher | cases | 1 |
higher | case | 1 |
higher | . | 1 |
high | risked | 1 |
high | numbers | 1 |
high | number | 1 |
high | infection | 1 |
urban | people | 1 |