| t01 |
model, peak, deaths, intervention(s), strategy, strategies, mitigation, lockdown, reduce |
83 |
68 |
| t02 |
number(s), reproduction, R0, cases, outbreak, model, reproductive, estimate, method |
68 |
38 |
| t03 |
china, wuhan, 2020, 2019, coronavirus, COVID-19, january, travel, cities, february |
58 |
56 |
| t04 |
tracing, contact(s), contact_tracing, infectious, disease(s), public, health, outbreaks |
41 |
10 |
| t05 |
days, interval, incubation, period, 95, serial, %, serial_interval, CI, onset |
45 |
31 |
| t06 |
mers-cov, household, middle, contacts, MERS, east, patient, attack, index, hospital |
43 |
9 |
| t07 |
social, distancing, social_distancing, COVID-19, march, mobility, growth, physical, states, australia |
43 |
37 |
| t08 |
imported, transmission, risk, importation, human-to-human, local, surveillance, cases, countries, singapore |
38 |
16 |
| t09 |
SARS, hong, kong, acute_respiratory_syndrome, hong_kong, respiratory, quarantine, 2003, severe, syndrome |
35 |
3 |
| t10 |
influenza, pandemic(s), 2009, H1N1, antiviral, prophylaxis, pandemic_influenza, influenza_pandemic, closure |
29 |
0 |
| t11 |
asymptomatic, passengers, infection(s), ship, testing, carriers, cruise, princess, covid-19_infections |
29 |
24 |
| t12 |
screening, airport, entry, dengue, international, travelers, arrival, travel, fever, entry_screening |
27 |
6 |
| t13 |
school(s), closure(s), school_closure(s), absenteeism, children, health-care, child |
9 |
5 |
| t14 |
traffic, zika, mask(s), blockage, lock-down, sick, social-distancing, theoretical, zika_virus |
15 |
9 |
| t15 |
measles, ebola, fractional-dose, RSV, vaccination, vaccine, sexual, VE, elimination, hospitalisation |
13 |
0 |
