t01 |
COVID-19, countries, 2020, case(s), CFR, fatality, number, italy, country |
65 |
60 |
t02 |
disease(s), infectious, infectious_diseases, surveillance, cases, incidence, 000, reported, china |
46 |
4 |
t03 |
mortality, death(s), %, population, age, pneumonia, years, mortality_rates, elderly |
42 |
8 |
t04 |
SARS, clusters, areas, identified, epidemic, temporal, spatial, beijing, geographic, mers-cov |
40 |
4 |
t05 |
seasonal, regression, seasonality, incidence, temperature, variables, monthly, HFMD, humidity, effects |
34 |
7 |
t06 |
africa, asia, travel, countries, dengue, pacific, importation, travelers, risk, japan |
38 |
8 |
t07 |
burden, dalys, disease, risk_factors, life, 1990, budget, UI, GBD, chronic |
20 |
0 |
t08 |
influenza, viruses, pandemic, temperate, southern, tropical, winter, hemisphere, virus, H5N1 |
31 |
0 |
t09 |
hospital, patients, pediatric, dentists, taiwan, TKR, person-years, asthma, gonorrhoea, indications |
19 |
1 |
t10 |
TB, malaria, tuberculosis, elimination, amplitude, PTB, treatment, ESRD, seasonal_amplitude, default |
23 |
0 |
t11 |
BCG, vaccination, BRSV, PEDV, pdcov, buffalo, samples, cattle, diarrhea, kg |
24 |
6 |
t12 |
CI, 95, %, HCV, injury, AIDS, positivity, HIV, crew, LTC |
17 |
4 |
t13 |
diarrhoea, measles, hepatitis, spatial, events, vaccination, HA, farmers, adverse, felv |
16 |
1 |
t14 |
search, rabies, interest, ebola, canine, smallpox, media, PEP, google, SFTS |
15 |
2 |
t15 |
material, tourists, online, online_version, SUPPLEMENTARY, PNIRS, ELECTRONIC, iids, -, users |
14 |
0 |