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 |
---|---|---|
infectious | diseases | 681 |
infectious | disease | 649 |
- | time | 572 |
infected | individuals | 332 |
same | time | 216 |
large | number | 197 |
susceptible | individuals | 195 |
available | . | 168 |
- | cell | 166 |
infected | cases | 163 |
humans | . | 162 |
new | cases | 161 |
susceptible | population | 150 |
social | networks | 147 |
such | models | 136 |
real | data | 134 |
infectious | individuals | 130 |
- | model | 129 |
available | data | 127 |
human | disease | 121 |
possible | . | 115 |
others | . | 114 |
real | time | 114 |
small | number | 113 |
social | network | 112 |
new | infections | 108 |
other | . | 108 |
different | models | 108 |
other | models | 106 |
- | infection | 97 |
infected | population | 97 |
- | value | 93 |
infected | individual | 85 |
- | analysis | 84 |
best | model | 84 |
first | time | 74 |
new | model | 74 |
- | day | 71 |
new | data | 63 |
initial | values | 61 |
different | time | 59 |
important | . | 58 |
similar | results | 58 |
- | t | 58 |
human | population | 58 |
other | parameters | 56 |
clinical | disease | 55 |
infectious | . | 54 |
initial | value | 54 |
different | values | 52 |
many | cases | 52 |
first | case | 51 |
- | cells | 50 |
human | diseases | 49 |
new | approach | 49 |
other | studies | 48 |
infectious | individual | 48 |
clinical | data | 47 |
susceptible | individual | 47 |
- | days | 46 |
small | . | 46 |
different | . | 45 |
infected | cells | 45 |
more | data | 45 |
- | infections | 44 |
low | . | 44 |
other | methods | 44 |
specific | model | 44 |
such | data | 44 |
several | studies | 43 |
high | . | 43 |
best | results | 39 |
- | parameter | 38 |
- | population | 38 |
new | models | 38 |
large | population | 37 |
different | times | 35 |
large | numbers | 35 |
- | models | 34 |
new | method | 34 |
- | valued | 33 |
initial | number | 33 |
large | . | 33 |
susceptible | . | 32 |
other | model | 32 |
- | case | 32 |
- | values | 31 |
human | infection | 31 |
new | infection | 31 |
same | . | 31 |
same | number | 31 |
first | model | 30 |
initial | infection | 30 |
specific | models | 30 |
- | parameters | 29 |
human | cases | 29 |
similar | . | 28 |
higher | . | 28 |
different | methods | 28 |
other | diseases | 27 |
good | results | 26 |
infected | . | 26 |
infectious | cases | 26 |
several | days | 26 |
such | cases | 26 |
such | methods | 26 |
various | models | 26 |
human | cells | 25 |
human | populations | 25 |
many | studies | 24 |
larger | number | 24 |
more | time | 24 |
many | models | 24 |
good | model | 24 |
different | epidemic | 24 |
- | rate | 24 |
different | parameters | 24 |
best | models | 23 |
different | approaches | 23 |
different | model | 23 |
high | number | 23 |
initial | population | 23 |
clinical | studies | 22 |
such | studies | 21 |
several | models | 21 |
specific | parameters | 21 |
other | approaches | 21 |
initial | time | 21 |
important | parameters | 21 |
first | day | 21 |
first | approach | 21 |
- | effect | 20 |
different | population | 20 |
higher | number | 20 |
many | diseases | 20 |
many | times | 20 |
real | system | 20 |
same | model | 20 |
initial | data | 19 |
new | virus | 19 |
different | results | 19 |
first | infection | 19 |
many | individuals | 18 |
such | approaches | 18 |
specific | time | 18 |
same | results | 18 |
- | disease | 18 |
lower | . | 18 |
different | data | 18 |
different | cell | 18 |
different | approach | 18 |
- | epidemic | 17 |
clinical | model | 17 |
first | study | 17 |
high | population | 17 |
highest | number | 17 |
other | data | 17 |
small | numbers | 17 |
specific | case | 17 |
specific | data | 17 |
new | approaches | 16 |
same | data | 16 |
other | individuals | 16 |
specific | disease | 16 |
more | cases | 16 |
infectious | virus | 16 |
infectious | rate | 16 |
good | models | 16 |
specific | parameter | 15 |
similar | approach | 15 |
social | system | 15 |
infected | case | 15 |
real | number | 15 |
high | rate | 15 |
new | methods | 15 |
new | epidemic | 14 |
such | effects | 14 |
specific | cell | 14 |
small | cell | 14 |
several | times | 14 |
several | methods | 14 |
other | cases | 14 |
new | disease | 14 |
lower | values | 14 |
human | cell | 14 |
- | studied | 14 |
- | populations | 14 |
- | effects | 14 |
good | . | 13 |
smaller | number | 13 |
smaller | . | 13 |
initial | case | 13 |
higher | values | 13 |
largest | number | 13 |
first | days | 13 |
different | number | 13 |
different | disease | 13 |
- | networks | 13 |
first | . | 13 |
large | populations | 12 |
such | analyses | 12 |
several | approaches | 12 |
possible | values | 12 |
other | effects | 12 |
new | parameters | 12 |
more | parameters | 12 |
more | . | 12 |
many | parameters | 12 |
human | infections | 12 |
higher | rates | 12 |
different | populations | 12 |
best | . | 12 |
available | models | 12 |
- | virus | 12 |
- | system | 12 |
- | study | 12 |
- | data | 12 |
social | systems | 11 |
similar | models | 11 |
social | parameters | 11 |
real | values | 11 |
specific | . | 11 |
such | systems | 11 |
various | parameters | 11 |
same | approach | 11 |
larger | values | 11 |
lower | number | 11 |
- | network | 11 |
important | parameter | 11 |
human | . | 11 |
high | value | 11 |
different | studies | 11 |
clinical | study | 11 |
low | number | 11 |
new | system | 10 |
various | disease | 10 |
such | model | 10 |
smaller | values | 10 |
small | population | 10 |
similar | disease | 10 |
same | values | 10 |
same | value | 10 |
same | day | 10 |
low | values | 10 |
goods | . | 10 |
clinical | effects | 10 |
different | network | 10 |
first | cases | 10 |
- | modeling | 10 |
infected | populations | 10 |
large | t | 10 |
low | numbers | 10 |
new | study | 9 |
various | time | 9 |
various | methods | 9 |
various | diseases | 9 |
various | cell | 9 |
several | parameters | 9 |
same | result | 9 |
same | cell | 9 |
real | numbers | 9 |
other | systems | 9 |
high | infection | 9 |
new | parameter | 9 |
larger | populations | 9 |
large | values | 9 |
infected | cell | 9 |
high | prediction | 9 |
different | parameter | 9 |
different | networks | 9 |
- | systems | 9 |
- | analyses | 9 |
new | individuals | 9 |
several | data | 8 |
more | infections | 8 |
new | value | 8 |
other | cells | 8 |
other | individual | 8 |
same | parameters | 8 |
specific | rates | 8 |
small | time | 8 |
small | value | 8 |
small | values | 8 |
specific | diseases | 8 |
larger | . | 8 |
larger | population | 8 |
initial | numbers | 8 |
initial | results | 8 |
good | prediction | 8 |
best | result | 8 |
clinical | parameters | 8 |
different | infection | 8 |
first | results | 8 |
- | prediction | 8 |
high | rates | 8 |
higher | value | 8 |
human | studies | 8 |
human | systems | 8 |
higher | rate | 8 |
similar | model | 7 |
other | populations | 7 |
possible | models | 7 |
real | cases | 7 |
real | populations | 7 |
same | parameter | 7 |
specific | values | 7 |
similar | studies | 7 |
such | diseases | 7 |
susceptibles | . | 7 |
various | data | 7 |
initial | parameter | 7 |
more | individuals | 7 |
other | disease | 7 |
initial | models | 7 |
high | case | 7 |
- | times | 7 |
infectious | population | 7 |
best | case | 7 |
different | cases | 7 |
different | diseases | 7 |
different | rates | 7 |
different | predictions | 7 |
high | values | 7 |
higher | infection | 7 |
higher | population | 7 |
highest | . | 7 |
human | t | 7 |
similar | parameters | 6 |
real | systems | 6 |
same | analysis | 6 |
same | disease | 6 |
same | virus | 6 |
possible | time | 6 |
similar | diseases | 6 |
various | approaches | 6 |
similar | result | 6 |
small | effect | 6 |
such | parameters | 6 |
such | time | 6 |
susceptible | populations | 6 |
various | values | 6 |
other | epidemics | 6 |
other | time | 6 |
initial | parameters | 6 |
more | times | 6 |
good | predictions | 6 |
more | studies | 6 |
- | . | 6 |
different | cells | 6 |
different | numbers | 6 |
different | systems | 6 |
first | epidemic | 6 |
available | case | 6 |
human | viruses | 6 |
large | value | 6 |
larger | numbers | 6 |
low | value | 6 |
more | days | 6 |
initial | cases | 6 |
possible | model | 5 |
same | models | 5 |
same | method | 5 |
same | effects | 5 |
possible | parameters | 5 |
other | parameter | 5 |
possible | cases | 5 |
new | values | 5 |
new | results | 5 |
new | prediction | 5 |
several | diseases | 5 |
same | rate | 5 |
specific | population | 5 |
similar | analysis | 5 |
similar | methods | 5 |
small | models | 5 |
small | populations | 5 |
smallest | time | 5 |
specific | infection | 5 |
more | models | 5 |
specific | t | 5 |
such | analysis | 5 |
such | case | 5 |
such | times | 5 |
various | network | 5 |
new | . | 5 |
real | networks | 5 |
many | approaches | 5 |
higher | prediction | 5 |
lower | value | 5 |
- | approach | 5 |
- | individual | 5 |
- | rates | 5 |
best | individuals | 5 |
clinical | models | 5 |
different | effects | 5 |
different | individuals | 5 |
different | rate | 5 |
first | method | 5 |
high | time | 5 |
higher | case | 5 |
clinical | results | 5 |
highest | value | 5 |
large | model | 5 |
lower | rate | 5 |
human | case | 5 |
low | disease | 5 |
largest | values | 5 |
large | networks | 5 |
large | time | 5 |
large | data | 5 |
initial | model | 5 |
infectious | populations | 5 |
infectious | case | 5 |
same | study | 4 |
real | epidemic | 4 |
same | population | 4 |
same | methods | 4 |
same | infection | 4 |
real | value | 4 |
real | network | 4 |
other | results | 4 |
real | disease | 4 |
possible | number | 4 |
possible | effects | 4 |
other | values | 4 |
other | population | 4 |
other | infections | 4 |
several | model | 4 |
several | individual | 4 |
susceptible | case | 4 |
several | population | 4 |
similar | approaches | 4 |
similar | effect | 4 |
similar | number | 4 |
similar | study | 4 |
similar | values | 4 |
specific | effects | 4 |
specific | individuals | 4 |
specific | number | 4 |
such | . | 4 |
such | networks | 4 |
such | results | 4 |
various | effects | 4 |
new | population | 4 |
various | times | 4 |
other | infection | 4 |
various | parameter | 4 |
new | diseases | 4 |
best | prediction | 4 |
different | value | 4 |
different | prediction | 4 |
different | days | 4 |
clinical | prediction | 4 |
clinical | effect | 4 |
clinical | cases | 4 |
best | parameter | 4 |
high | numbers | 4 |
best | method | 4 |
best | individual | 4 |
- | timing | 4 |
- | epidemics | 4 |
- | diseases | 4 |
new | case | 4 |
first | models | 4 |
- | cases | 4 |
highest | numbers | 4 |
low | infection | 4 |
more | parameter | 4 |
more | model | 4 |
many | systems | 4 |
many | methods | 4 |
many | data | 4 |
lower | case | 4 |
many | disease | 4 |
larger | value | 4 |
larger | networks | 4 |
larger | models | 4 |
large | effect | 4 |
initial | study | 4 |
initial | epidemic | 4 |
human | data | 4 |
other | prediction | 3 |
same | predictions | 3 |
real | diseases | 3 |
possible | value | 3 |
possible | epidemic | 3 |
other | study | 3 |
new | viruses | 3 |
other | networks | 3 |
other | epidemic | 3 |
other | cell | 3 |
other | case | 3 |
newer | studies | 3 |
newer | models | 3 |
several | networks | 3 |
same | system | 3 |
such | approach | 3 |
several | values | 3 |
similar | method | 3 |
small | parameter | 3 |
smaller | effect | 3 |
smaller | value | 3 |
specific | analysis | 3 |
specific | effect | 3 |
such | epidemic | 3 |
such | system | 3 |
susceptible | cases | 3 |
various | epidemic | 3 |
various | model | 3 |
various | populations | 3 |
various | studies | 3 |
many | infections | 3 |
new | network | 3 |
specific | study | 3 |
many | epidemics | 3 |
clinical | value | 3 |
human | individuals | 3 |
human | epidemics | 3 |
highest | prediction | 3 |
higher | numbers | 3 |
high | disease | 3 |
different | individual | 3 |
clinical | case | 3 |
human | networks | 3 |
clinical | approaches | 3 |
clinical | approach | 3 |
best | value | 3 |
best | time | 3 |
best | number | 3 |
many | epidemic | 3 |
human | model | 3 |
different | epidemics | 3 |
human | study | 3 |
large | cell | 3 |
lowest | number | 3 |
human | system | 3 |
many | days | 3 |
lower | numbers | 3 |
low | population | 3 |
larger | model | 3 |
large | epidemic | 3 |
large | models | 3 |
large | case | 3 |
initial | populations | 3 |
initial | infections | 3 |
infectious | time | 3 |
important | result | 3 |
possible | networks | 2 |
real | population | 2 |
possible | methods | 2 |
possible | population | 2 |
possible | result | 2 |
possible | system | 2 |
real | . | 2 |
real | infection | 2 |
several | cell | 2 |
real | valued | 2 |
same | effect | 2 |
same | network | 2 |
same | rates | 2 |
several | cases | 2 |
several | infection | 2 |
several | time | 2 |
possible | approaches | 2 |
similar | analyses | 2 |
possible | infection | 2 |
more | disease | 2 |
possible | approach | 2 |
other | viruses | 2 |
many | populations | 2 |
many | time | 2 |
more | analysis | 2 |
more | cell | 2 |
similar | effects | 2 |
more | diseases | 2 |
more | effect | 2 |
more | individual | 2 |
more | number | 2 |
more | virus | 2 |
new | epidemics | 2 |
new | time | 2 |
non | time | 2 |
other | analyses | 2 |
other | approach | 2 |
other | day | 2 |
other | days | 2 |
similar | data | 2 |
specific | cases | 2 |
similar | epidemics | 2 |
specific | virus | 2 |
such | individual | 2 |
such | individuals | 2 |
such | method | 2 |
such | parameter | 2 |
such | prediction | 2 |
such | study | 2 |
susceptible | cell | 2 |
susceptible | cells | 2 |
susceptible | epidemic | 2 |
susceptible | model | 2 |
various | . | 2 |
various | cases | 2 |
various | cells | 2 |
various | networks | 2 |
various | predictions | 2 |
various | rates | 2 |
many | cells | 2 |
such | disease | 2 |
specific | value | 2 |
similar | prediction | 2 |
specific | times | 2 |
similar | predictions | 2 |
similar | system | 2 |
similar | time | 2 |
similar | times | 2 |
similar | virus | 2 |
small | data | 2 |
small | epidemic | 2 |
small | networks | 2 |
smaller | model | 2 |
smaller | population | 2 |
smaller | populations | 2 |
smallest | number | 2 |
social | data | 2 |
social | value | 2 |
specific | days | 2 |
specific | individual | 2 |
specific | methods | 2 |
many | model | 2 |
such | value | 2 |
many | cell | 2 |
first | cells | 2 |
clinical | parameter | 2 |
clinical | populations | 2 |
clinical | values | 2 |
different | day | 2 |
different | effect | 2 |
different | result | 2 |
first | analysis | 2 |
first | cell | 2 |
first | data | 2 |
good | effect | 2 |
first | individual | 2 |
first | parameter | 2 |
first | result | 2 |
first | studied | 2 |
first | studies | 2 |
first | system | 2 |
first | value | 2 |
good | approach | 2 |
clinical | diseases | 2 |
clinical | analysis | 2 |
best | values | 2 |
best | t | 2 |
many | analysis | 2 |
- | cased | 2 |
- | method | 2 |
- | methods | 2 |
- | modeled | 2 |
- | modelling | 2 |
- | number | 2 |
- | rated | 2 |
available | infection | 2 |
available | methods | 2 |
available | number | 2 |
available | studies | 2 |
best | effect | 2 |
best | et | 2 |
best | methods | 2 |
best | parameters | 2 |
best | predictions | 2 |
good | data | 2 |
best | approach | 2 |
high | data | 2 |
initial | rate | 2 |
large | parameter | 2 |
large | studies | 2 |
large | system | 2 |
large | systems | 2 |
larger | effect | 2 |
larger | network | 2 |
larger | system | 2 |
larger | time | 2 |
largest | . | 2 |
largest | effect | 2 |
largest | numbers | 2 |
low | rates | 2 |
lower | prediction | 2 |
lower | rates | 2 |
lowest | prediction | 2 |
higher | disease | 2 |
lowest | value | 2 |
large | day | 2 |
largest | model | 2 |
initial | network | 2 |
infected | diseases | 2 |
highest | infection | 2 |
highest | case | 2 |
initial | day | 2 |
highest | population | 2 |
human | models | 2 |
important | data | 2 |
important | diseases | 2 |
important | effects | 2 |
important | approach | 2 |
infected | number | 2 |
infectious | system | 2 |
infecteds | . | 2 |
initial | analysis | 2 |
infectious | cell | 2 |
infectious | epidemics | 2 |
initial | analyses | 2 |
infected | numbers | 2 |
same | individuals | 1 |
same | individual | 1 |
same | cells | 1 |
same | cases | 1 |
real | epidemics | 1 |
same | case | 1 |
real | times | 1 |
real | case | 1 |
real | analysis | 1 |
several | analyses | 1 |
possible | parameter | 1 |
possible | predictions | 1 |
same | numbers | 1 |
several | network | 1 |
several | approaching | 1 |
several | disease | 1 |
several | effect | 1 |
several | effects | 1 |
several | epidemic | 1 |
several | epidemics | 1 |
several | modeling | 1 |
several | parameter | 1 |
several | virus | 1 |
similar | cases | 1 |
similar | cell | 1 |
similar | population | 1 |
possible | infections | 1 |
similar | rates | 1 |
possible | method | 1 |
newer | cell | 1 |
possible | individuals | 1 |
possible | epidemics | 1 |
similar | viruses | 1 |
more | studied | 1 |
more | study | 1 |
more | values | 1 |
more | viruses | 1 |
new | analysis | 1 |
new | cell | 1 |
new | numbers | 1 |
new | populations | 1 |
new | rate | 1 |
new | studies | 1 |
newer | data | 1 |
newer | method | 1 |
newer | model | 1 |
newest | results | 1 |
other | analysis | 1 |
other | effect | 1 |
other | method | 1 |
other | network | 1 |
other | predictions | 1 |
other | rates | 1 |
other | system | 1 |
others | diseases | 1 |
others | modeled | 1 |
others | result | 1 |
possible | case | 1 |
possible | effect | 1 |
similar | value | 1 |
such | day | 1 |
small | case | 1 |
specific | networks | 1 |
specific | populations | 1 |
specific | prediction | 1 |
specific | predictions | 1 |
specific | rate | 1 |
specific | studies | 1 |
specific | systems | 1 |
specific | viruses | 1 |
more | prediction | 1 |
such | effect | 1 |
such | infection | 1 |
such | network | 1 |
such | number | 1 |
such | population | 1 |
such | populations | 1 |
such | predictions | 1 |
such | rate | 1 |
such | result | 1 |
such | values | 1 |
susceptible | effect | 1 |
susceptible | models | 1 |
various | analyses | 1 |
various | analysis | 1 |
various | epidemics | 1 |
various | infections | 1 |
various | numbers | 1 |
various | prediction | 1 |
various | systems | 1 |
specific | numbers | 1 |
specific | network | 1 |
small | cells | 1 |
specific | day | 1 |
small | effects | 1 |
small | infection | 1 |
small | model | 1 |
small | network | 1 |
small | rates | 1 |
small | study | 1 |
small | system | 1 |
small | t | 1 |
small | times | 1 |
smaller | case | 1 |
smaller | cell | 1 |
smaller | epidemic | 1 |
smaller | epidemics | 1 |
smaller | network | 1 |
smaller | networks | 1 |
smaller | prediction | 1 |
smallest | % | 1 |
smallest | . | 1 |
smallest | values | 1 |
social | . | 1 |
social | analysis | 1 |
social | effect | 1 |
social | models | 1 |
social | populations | 1 |
social | rate | 1 |
specific | analyses | 1 |
specific | approach | 1 |
more | results | 1 |
large | cells | 1 |
more | infection | 1 |
good | method | 1 |
good | parameters | 1 |
good | studied | 1 |
good | study | 1 |
goods | case | 1 |
high | epidemic | 1 |
high | individual | 1 |
high | model | 1 |
high | parameter | 1 |
high | parameters | 1 |
high | virus | 1 |
higher | cases | 1 |
higher | epidemic | 1 |
higher | network | 1 |
higher | parameter | 1 |
higher | populations | 1 |
higher | results | 1 |
higher | system | 1 |
highest | effect | 1 |
highest | model | 1 |
highest | rate | 1 |
highest | values | 1 |
highs | . | 1 |
human | individual | 1 |
humans | effect | 1 |
important | cell | 1 |
important | effect | 1 |
important | epidemics | 1 |
good | number | 1 |
good | cell | 1 |
more | cells | 1 |
good | case | 1 |
- | viruses | 1 |
available | cases | 1 |
available | disease | 1 |
available | epidemic | 1 |
available | model | 1 |
available | parameters | 1 |
available | results | 1 |
available | time | 1 |
available | value | 1 |
available | virus | 1 |
best | analysis | 1 |
best | data | 1 |
best | disease | 1 |
best | epidemic | 1 |
best | studied | 1 |
clinical | . | 1 |
clinical | day | 1 |
clinical | infections | 1 |
clinical | methods | 1 |
different | resulting | 1 |
different | viruses | 1 |
first | approaches | 1 |
first | disease | 1 |
first | individuals | 1 |
first | parameters | 1 |
first | population | 1 |
first | prediction | 1 |
important | individuals | 1 |
important | methods | 1 |
important | model | 1 |
important | models | 1 |
larger | study | 1 |
larger | systems | 1 |
larger | t | 1 |
larger | times | 1 |
largest | disease | 1 |
largest | epidemics | 1 |
largest | population | 1 |
largest | rate | 1 |
largest | value | 1 |
low | rate | 1 |
low | results | 1 |
lower | effects | 1 |
lower | infection | 1 |
lowest | effect | 1 |
lowest | values | 1 |
many | . | 1 |
many | analyses | 1 |
many | effects | 1 |
many | numbers | 1 |
many | prediction | 1 |
many | predictions | 1 |
many | results | 1 |
many | study | 1 |
many | values | 1 |
many | virus | 1 |
many | viruses | 1 |
more | case | 1 |
larger | parameter | 1 |
larger | infection | 1 |
larger | epidemics | 1 |
initial | disease | 1 |
important | results | 1 |
important | t | 1 |
important | time | 1 |
important | virus | 1 |
important | viruses | 1 |
infected | disease | 1 |
infected | model | 1 |
infected | rate | 1 |
infectious | data | 1 |
infectious | epidemic | 1 |
infectious | network | 1 |
initial | days | 1 |
initial | effect | 1 |
larger | epidemic | 1 |
initial | methods | 1 |
initial | predictions | 1 |
initial | studies | 1 |
initial | t | 1 |
initial | times | 1 |
large | effects | 1 |
large | infections | 1 |
large | study | 1 |
large | times | 1 |
larger | case | 1 |
larger | data | 1 |
larger | effects | 1 |
various | viruses | 1 |