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 |
---|---|---|
infected | individuals | 171 |
infectious | diseases | 152 |
infectious | disease | 145 |
total | number | 131 |
susceptible | population | 91 |
susceptible | individuals | 86 |
infected | population | 83 |
covid-19 | epidemic | 82 |
- | time | 81 |
total | population | 79 |
covid-19 | pandemic | 72 |
covid-19 | outbreak | 65 |
mathematical | models | 53 |
infectious | individuals | 51 |
infected | cases | 43 |
social | networks | 42 |
available | data | 39 |
infectious | cases | 39 |
infected | individual | 35 |
stochastic | sir | 35 |
same | time | 33 |
covid-19 | cases | 32 |
basic | sir | 31 |
- | model | 28 |
mathematical | model | 28 |
- | sir | 27 |
- | state | 27 |
numerical | results | 26 |
susceptible | individual | 26 |
early | dynamics | 26 |
infectious | population | 26 |
large | number | 25 |
new | cases | 23 |
different | values | 22 |
first | case | 21 |
initial | values | 20 |
simple | sir | 20 |
initial | value | 19 |
social | network | 18 |
- | day | 17 |
mathematical | epidemic | 17 |
large | population | 16 |
covid-19 | infection | 16 |
small | number | 15 |
initial | time | 14 |
small | values | 14 |
infectious | individual | 13 |
such | models | 13 |
total | cases | 13 |
covid-19 | data | 12 |
different | models | 12 |
initial | number | 12 |
susceptible | state | 12 |
infectious | state | 11 |
new | infections | 11 |
simple | model | 11 |
different | time | 11 |
constant | population | 11 |
larger | number | 10 |
stochastic | models | 10 |
stochastic | epidemic | 10 |
small | time | 10 |
other | states | 10 |
other | distributions | 10 |
same | number | 10 |
large | values | 10 |
large | systems | 10 |
initial | outbreak | 10 |
effective | population | 10 |
different | times | 10 |
covid-19 | infections | 10 |
constant | value | 10 |
higher | values | 9 |
other | models | 9 |
other | parameter | 9 |
stochastic | model | 9 |
infected | state | 8 |
total | infections | 8 |
second | equation | 8 |
many | cases | 8 |
infectious | time | 8 |
new | infection | 8 |
infected | case | 8 |
constant | rate | 8 |
- | valued | 8 |
covid-19 | outbreaks | 8 |
- | days | 8 |
constant | β | 8 |
early | outbreak | 7 |
first | equation | 7 |
high | values | 7 |
large | t | 7 |
high | number | 7 |
initial | population | 6 |
such | cases | 6 |
other | parameters | 6 |
large | r | 6 |
large | outbreak | 6 |
initial | state | 6 |
high | population | 6 |
initial | data | 6 |
high | infection | 6 |
first | time | 6 |
different | states | 6 |
- | infection | 6 |
- | epidemic | 6 |
larger | outbreak | 5 |
small | value | 5 |
small | population | 5 |
small | outbreak | 5 |
second | case | 5 |
same | result | 5 |
new | disease | 5 |
new | data | 5 |
infected | number | 5 |
first | day | 5 |
different | parameters | 5 |
different | cases | 5 |
constant | parameters | 5 |
constant | parameter | 5 |
constant | case | 5 |
- | populations | 5 |
- | dynamics | 5 |
first | model | 5 |
same | results | 4 |
second | epidemic | 4 |
many | models | 4 |
other | individuals | 4 |
same | value | 4 |
susceptible | populations | 4 |
second | infection | 4 |
second | model | 4 |
stochastic | dynamics | 4 |
such | system | 4 |
large | numbers | 4 |
many | data | 4 |
initial | infection | 4 |
basic | model | 4 |
different | networks | 4 |
- | functions | 4 |
- | population | 4 |
initial | dynamics | 4 |
different | disease | 4 |
different | distributions | 4 |
different | epidemic | 4 |
earlier | days | 4 |
early | data | 4 |
high | time | 4 |
infected | populations | 4 |
infected | rate | 4 |
other | epidemic | 3 |
same | day | 3 |
other | networks | 3 |
other | model | 3 |
simpler | model | 3 |
other | data | 3 |
new | model | 3 |
new | epidemic | 3 |
same | parameter | 3 |
lower | r | 3 |
simplest | sir | 3 |
small | network | 3 |
small | parameter | 3 |
smaller | outbreak | 3 |
smaller | values | 3 |
stochastic | epidemics | 3 |
such | data | 3 |
susceptible | number | 3 |
lower | infection | 3 |
lower | number | 3 |
higher | r | 3 |
largest | states | 3 |
high | rates | 3 |
- | case | 3 |
largest | r | 3 |
- | outbreak | 3 |
available | case | 3 |
basic | equation | 3 |
basic | parameters | 3 |
covid-19 | model | 3 |
different | infection | 3 |
different | numbers | 3 |
- | function | 3 |
high | β | 3 |
infected | numbers | 3 |
higher | infection | 3 |
initial | distribution | 3 |
infectious | case | 3 |
larger | value | 3 |
highest | cases | 3 |
higher | value | 3 |
many | parameters | 2 |
other | outbreaks | 2 |
numerical | value | 2 |
numerical | distribution | 2 |
new | parameter | 2 |
other | state | 2 |
new | outbreak | 2 |
many | values | 2 |
other | pandemics | 2 |
many | epidemic | 2 |
many | individuals | 2 |
many | epidemics | 2 |
lower | value | 2 |
low | value | 2 |
low | infection | 2 |
larger | values | 2 |
larger | numbers | 2 |
same | distribution | 2 |
same | data | 2 |
large | populations | 2 |
same | dynamics | 2 |
same | parameters | 2 |
totals | = | 2 |
total | rate | 2 |
susceptible | numbers | 2 |
susceptible | cases | 2 |
such | case | 2 |
stochastic | system | 2 |
social | parameters | 2 |
smaller | number | 2 |
small | r | 2 |
small | numbers | 2 |
simplest | models | 2 |
simpler | sir | 2 |
simple | system | 2 |
simple | models | 2 |
simple | case | 2 |
second | pandemic | 2 |
same | r | 2 |
large | value | 2 |
highest | infection | 2 |
large | networks | 2 |
early | epidemic | 2 |
different | parameter | 2 |
different | pandemic | 2 |
different | model | 2 |
different | days | 2 |
different | data | 2 |
covid-19 | dynamics | 2 |
covid-19 | disease | 2 |
constant | function | 2 |
basic | epidemic | 2 |
basic | dynamic | 2 |
- | values | 2 |
- | value | 2 |
- | times | 2 |
- | t | 2 |
- | parameters | 2 |
- | parameter | 2 |
initial | states | 2 |
different | population | 2 |
covid-19 | case | 2 |
early | infections | 2 |
higher | number | 2 |
early | models | 2 |
initial | pandemic | 2 |
infectious | system | 2 |
infectious | states | 2 |
infectious | populations | 2 |
highest | rate | 2 |
highest | number | 2 |
higher | rate | 2 |
highest | rates | 2 |
initial | sir | 2 |
effective | sir | 2 |
high | r | 2 |
effective | pandemic | 2 |
effective | rate | 2 |
early | time | 2 |
first | infection | 2 |
first | infections | 2 |
other | populations | 1 |
numerical | data | 1 |
numerical | values | 1 |
other | case | 1 |
other | cases | 1 |
other | epidemics | 1 |
other | functions | 1 |
other | individual | 1 |
other | population | 1 |
same | rate | 1 |
other | rates | 1 |
other | values | 1 |
others | epidemics | 1 |
same | dynamic | 1 |
same | epidemic | 1 |
same | function | 1 |
same | infection | 1 |
same | network | 1 |
new | value | 1 |
new | β | 1 |
lowest | value | 1 |
new | time | 1 |
new | results | 1 |
second | day | 1 |
many | days | 1 |
many | individual | 1 |
many | model | 1 |
many | states | 1 |
many | times | 1 |
mathematical | equations | 1 |
mathematical | pandemic | 1 |
mathematical | parameters | 1 |
new | case | 1 |
new | covid-19 | 1 |
new | epidemics | 1 |
new | function | 1 |
new | individuals | 1 |
new | pandemic | 1 |
new | parameters | 1 |
new | rate | 1 |
same | state | 1 |
stochastic | disease | 1 |
second | outbreak | 1 |
such | results | 1 |
such | distributions | 1 |
such | functions | 1 |
such | individual | 1 |
such | infections | 1 |
such | model | 1 |
such | network | 1 |
such | parameter | 1 |
such | rate | 1 |
such | value | 1 |
stochastic | systems | 1 |
susceptible | case | 1 |
susceptible | infection | 1 |
susceptible | model | 1 |
susceptible | network | 1 |
total | data | 1 |
total | distribution | 1 |
total | infection | 1 |
total | numbers | 1 |
such | diseases | 1 |
stochastic | infection | 1 |
second | time | 1 |
smaller | r | 1 |
simple | time | 1 |
simplest | case | 1 |
simplest | model | 1 |
small | data | 1 |
small | networks | 1 |
small | t | 1 |
smaller | infection | 1 |
smaller | outbreaks | 1 |
smaller | value | 1 |
stochastic | dynamic | 1 |
smallest | epidemic | 1 |
smallest | r | 1 |
smallest | time | 1 |
smallest | value | 1 |
social | epidemics | 1 |
social | system | 1 |
stochastic | case | 1 |
lowest | cases | 1 |
lowest | population | 1 |
initial | disease | 1 |
lower | values | 1 |
different | functions | 1 |
constant | sir | 1 |
constant | t | 1 |
covid-19 | diseases | 1 |
covid-19 | individuals | 1 |
covid-19 | modelling | 1 |
covid-19 | models | 1 |
different | dynamic | 1 |
different | dynamics | 1 |
different | network | 1 |
earliest | case | 1 |
different | number | 1 |
different | populations | 1 |
different | rates | 1 |
different | systems | 1 |
earlier | day | 1 |
earlier | outbreaks | 1 |
earlier | state | 1 |
earlier | time | 1 |
constant | rates | 1 |
constant | r | 1 |
constant | models | 1 |
constant | model | 1 |
- | disease | 1 |
- | distribution | 1 |
- | infections | 1 |
- | network | 1 |
- | pandemic | 1 |
- | rate | 1 |
- | rates | 1 |
available | infection | 1 |
available | numbers | 1 |
basic | case | 1 |
basic | disease | 1 |
basic | equations | 1 |
basic | functions | 1 |
basic | models | 1 |
basic | states | 1 |
constant | functions | 1 |
constant | infection | 1 |
earlier | times | 1 |
early | case | 1 |
lower | t | 1 |
larger | population | 1 |
initial | day | 1 |
initial | epidemic | 1 |
initial | rate | 1 |
initial | t | 1 |
initial | times | 1 |
large | dynamic | 1 |
large | infection | 1 |
large | time | 1 |
larger | r | 1 |
early | infection | 1 |
largest | number | 1 |
largest | numbers | 1 |
largest | population | 1 |
low | number | 1 |
low | population | 1 |
low | values | 1 |
lower | epidemic | 1 |
lower | rate | 1 |
initial | datum | 1 |
initial | cases | 1 |
infectious | rate | 1 |
infectious | outbreaks | 1 |
early | outbreaks | 1 |
early | pandemic | 1 |
early | rate | 1 |
early | states | 1 |
early | times | 1 |
effective | infection | 1 |
effective | model | 1 |
effective | models | 1 |
effective | network | 1 |
effective | β | 1 |
first | cases | 1 |
high | value | 1 |
higher | numbers | 1 |
higher | β | 1 |
highest | value | 1 |
infectious | days | 1 |
infectious | dynamics | 1 |
total | populations | 1 |