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 |