| t01 |
models, disease(s), infectious, data, dynamics, infectious_disease(s), epidemiological, mathematical |
200 |
26 |
| t02 |
COVID-19, cases, china, 2020, countries, number, march, coronavirus, peak, R0 |
192 |
167 |
| t03 |
contact(s), size, individual(s), transmission, population, tracing, heterogeneity, infection |
105 |
13 |
| t04 |
SARS, number, interval, estimate(s), reproduction, syndrome, respiratory, generation, reproductive |
95 |
10 |
| t05 |
vaccination, strategies, control, optimal, social, vaccine, reduce, intervention, mitigation, social_distancing |
81 |
22 |
| t06 |
equilibrium, formula, endemic, stability, 0, numerical, system, text, bifurcation, numerical_simulations |
86 |
5 |
| t07 |
model(s), stochastic, markov, carlo, monte, equations, parameters, method, simulation |
58 |
15 |
| t08 |
network(s), node(s), spreading, immunization, epidemic, degree, structure, information |
69 |
2 |
| t09 |
spatial, mobility, cities, spread, travel, locations, geographical, patterns, movement, airborne |
50 |
7 |
| t10 |
genetic, viral, inference, trees, sequence(s), image, rabies, sampling, genome |
37 |
5 |
| t11 |
growth, exponential, growth_rate, CI, exponential_growth, 95, phase, law, r(t, LF |
30 |
12 |
| t12 |
strain(s), avian, human(s), pathogen, reservoir, host, zoonotic, mutation |
36 |
2 |
| t13 |
season, detection, seasonal, ARIMA, weekly, ILI, forecasts, historical_data, hospital, EWS |
25 |
2 |
| t14 |
ebola, EVD, %, cholera, west_africa, liberia, sierra, sierra_leone, leone, median |
16 |
3 |
| t15 |
bat(s), farms, culling, livestock, social_groups, wikipedia, 2001, disruption, risk |
22 |
0 |
