|
covid-19 |
13 |
|
sars-cov-2 |
12 |
|
epidemiology |
11 |
|
behavior change |
8 |
|
coronavirus disease 2019 |
8 |
|
coughing |
8 |
|
disease predisposition |
8 |
|
disease surveillance |
8 |
|
transmissibility |
8 |
|
transmission |
8 |
|
2019 novel coronavirus disease |
7 |
|
coronavirus disease |
7 |
|
face masks |
7 |
|
importation |
7 |
|
incubation period |
7 |
|
reproduction number |
7 |
|
united kingdom |
7 |
|
variant |
7 |
|
generation time |
6 |
|
humidity |
6 |
|
influenza virus |
6 |
|
prediction |
6 |
|
seasonality |
6 |
|
basic reproduction number |
5 |
|
betacoronavirus |
5 |
|
china |
5 |
|
control |
5 |
|
coronavirus infection |
5 |
|
forecasting |
5 |
|
isolation delays |
5 |
|
public health |
5 |
|
regression analysis |
5 |
|
serial interval |
5 |
|
serial intervals |
5 |
|
systematic review and meta-analysis |
5 |
|
hazard of infection |
4 |
|
influenza |
4 |
|
korea |
4 |
|
super-spreading event |
4 |
|
systematic review |
4 |
|
antibiotic |
3 |
|
respiratory virus |
3 |
|
school closures |
3 |
|
social distancing measure |
3 |
|
stewardship |
3 |
|
coronavirus |
2 |
|
hand-foot-and-mouth disease |
2 |
|
nonpharmaceutical measure |
2 |
|
public health and social measures |
2 |
|
school holidays |
2 |
|
simulation |
2 |
|
south korea |
2 |
|
vacation |
2 |
|
bayesian inference |
1 |
|
compliance |
1 |
|
india |
1 |
|
infectious disease |
1 |
|
influenza h1n1 |
1 |
|
intervention |
1 |
|
mathematical models |
1 |
|
omicron |
1 |
|
one health |
1 |
|
outbreak |
1 |
|
pandemic |
1 |
|
quarantine |
1 |
